Detail-in-context terrain displacement algorithm with optimizations

0001This application claims priority from U.S. Provisional Patent Application No. 60/670,646, filed Apr. 13, 2005, and incorporated herein by reference.

FIELD OF THE INVENTION

0002The invention relates to the field of computer graphics processing, and more specifically, to a method and system for generating detail-in-context lens presentations for terrain or elevation data.

BACKGROUND OF THE INVENTION

0003Display screens are the primary visual display interface for computers. One problem with display screens is that they are limited in size, thus presenting a challenge to user interface design, particularly when large amounts of visual information are to be displayed. This problem is often referred to as the “screen real estate problem”. Known tools for addressing this problem include panning and zooming. While these tools are suitable for a large number of display applications, they become less effective when sections of the visual information are spatially related, for example in layered maps and three-dimensional representations. In this type of visual information display, panning and zooming are not as effective as much of the context of the visual information may be hidden in the panned or zoomed display.

0004A more recent solution to the screen real estate problem involves the application of “detail-in-context” presentation techniques. Detail-in-context is the magnification of a particular region-of-interest (the “focal region” or “detail”) in a presentation while preserving visibility of the surrounding information (the “context”). This technique has applicability to the display of large surface area media (e.g., digital maps) on display screens of variable size including those of graphics workstations, laptop computers, personal digital assistants (“PDAs”), and cellular telephones.

0005In general, a detail-in-context presentation may be considered as a distorted view (or distortion) of a region-of-interest in an original image or representation where the distortion is the result of the application of a “lens” like distortion function to the original image. The lens distortion is typically characterized by magnification of a region-of-interest (the “focal region”) in an image where detail is desired in combination with compression of a region of the remaining information surrounding the region-of-interest (the “shoulder region”). The area of the image affected by the lens includes the focal region and the shoulder region. These regions define the perimeter of the lens. The shoulder region and the area surrounding the lens provide “context” for the “detail” in the focal region of the lens. The resulting detail-in-context presentation resembles the application of a lens to the image. A detailed review of various detail-in-context presentation techniques such as “Elastic Presentation Space” (“EPS”) may be found in a publication by Marianne S. T. Carpendale, entitled “A Framework for Elastic Presentation Space” (Carpendale, Marianne S. T., A Framework for Elastic Presentation Space (Burnaby, British Columbia: Simon Fraser University, 1999)), which is incorporated herein by reference.

0006Note that in the detail-in-context discourse, differentiation is often made between the terms “representation” and “presentation”. A representation is a formal system, or mapping, for specifying raw information or data that is stored in a computer or data processing system. For example, a digital map of a city is a representation of raw data including street names and the relative geographic location of streets and utilities. Such a representation may be displayed on a display screen or printed on paper. On the other hand, a presentation is a spatial organization of a given representation that is appropriate for the task at hand. Thus, a presentation of a representation organizes such things as the point of view and the relative emphasis of different parts or regions of the representation. For example, a digital map of a city may be presented with a region magnified to reveal street names.

0007One shortcoming of existing detail-in-context presentation methods is their inability to effectively distort terrain or other elevation data including digital elevations model (“DEM”) data. In general, a DEM is a representation of cartographic information in a raster, vector, or other data format. Typically, a DEM consists of a sampled array of elevations for a number of ground positions at regularly spaced intervals. The intervals may be, for example, 7.5-minute, 15-minute, 2-arc-second (also known as 30-minute), and 1-degree units. The 7.5- and 15-minute DEMs may be categorized as large-scale, 2-arc-second DEMs may be categorized as intermediate-scale, and 1-degree DEMs may be categorized as small-scale. Often, for example, the distortion of DEM data using existing detail-in-context methods will result in a detail-in-context presentation in which the viewer appears to be “underneath” the data.

0008A need therefore exists for an effective method and system for generating detail-in-context presentations for elevation or terrain data. Accordingly, a solution that addresses, at least in part, the above and other shortcomings is desired.

SUMMARY OF THE INVENTION

0009According to one aspect of the invention, there is provided a method for generating a presentation of a region-of-interest in a terrain data representation for display on a display screen, comprising: translating each point of the representation within a lens bounds to a rotated plane being normal to a vector defined by a position for the region-of-interest with respect to a base plane for the representation and an apex above the base plane, the lens bounds defining a shoulder region at least partially surrounding a focal bounds defining a focal region in which the position is located, each point having a respective height above the base plane; displacing each translated point from the rotated plane by a function of the respective height and a magnification for the focal region, the magnification varying across the shoulder region in accordance with a drop-off function; rotating each displaced point toward a viewpoint for the region-of-interest to maintain visibility of each displaced point and each point of the data representation beyond the lens bounds when viewed from the viewpoint; and, adjusting each rotated point corresponding to the shoulder region to provide a smooth transition to the data representation beyond the lens bounds.

0010The method may further include projecting each adjusted point within the shoulder region, each rotated point within the focal region, and each point of the representation beyond the lens bounds onto a plane in a direction aligned with the viewpoint to produce the presentation. The method may further include displaying the presentation on the display screen. The step of translating each point may further include determining a maximum translation for a point on the lens bounds and determining a translation for each point within the lens bounds by scaling the maximum translation in accordance with a distance of each point from the lens bounds. The function may be a product of the magnification and a difference between a magnitude of a vector defined by an origin of the representation with respect to the base plane and the viewpoint and the respective height. The step of rotating each displaced point may further include determining an axis of rotation for the rotating from a cross product of a vector defined by an origin of the representation with respect to the base plane and the viewpoint and a vector defined by the origin and the apex. The step of adjusting each rotated point corresponding to the shoulder region may further include adding to each rotated point a weighted average of first and second difference vectors scaled by the drop-off function, the first and second difference vectors corresponding to a difference between first and seconds points on the lens bound and corresponding first and second displaced points, respectively, the first and second points being on a line drawn through the rotated point. The method may further include approximating the representation with a mesh. And, the method may further include approximating the respective height using height information from surrounding points.

0011In accordance with further aspects of the present invention there are provided apparatus such as a data processing system, a method for adapting this system, as well as articles of manufacture such as a computer readable medium having program instructions recorded thereon for practising the method of the invention.

BRIEF DESCRIPTION OF THE DRAWINGS

0012Further features and advantages of the embodiments of the present invention will become apparent from the following detailed description, taken in combination with the appended drawings, in which:

0013<figref idref="DRAWINGS">FIG. 1</figref> is a graphical representation illustrating the geometry for constructing a three-dimensional perspective viewing frustum, relative to an x, y, z coordinate system, in accordance with elastic presentation space graphics technology and an embodiment of the invention;

0014<figref idref="DRAWINGS">FIG. 2</figref> is a graphical representation illustrating the geometry of a presentation in accordance with elastic presentation space graphics technology and an embodiment of the invention;

0015<figref idref="DRAWINGS">FIG. 3</figref> is a block diagram illustrating a data processing system adapted for implementing an embodiment of the invention;

0016<figref idref="DRAWINGS">FIG. 4</figref> is a graphical representation illustrating the geometry of a terrain dataspace and an apex-aligned vector in accordance with an embodiment of the invention;

0017<figref idref="DRAWINGS">FIG. 5</figref> is a graphical representation illustrating the geometry of a portion of the base plane in which the terrain dataset is defined and which is rotated such that it remains perpendicular to the apex-aligned vector in accordance with an embodiment of the invention;

0018<figref idref="DRAWINGS">FIG. 6</figref> is a graphical representation illustrating the geometry for finding the maximum translation value for a point using similar triangles in accordance with an embodiment of the invention;

0019<figref idref="DRAWINGS">FIG. 7</figref> is a graphical representation illustrating the geometry of a projection for finding the scaling factor that is used in the calculation of the magnitude of translation for a point in accordance with an embodiment of the invention;

0020<figref idref="DRAWINGS">FIG. 8</figref> is a graphical representation illustrating the geometry of the result of the pseudo-rotation and displacement of each point that falls within the lens bounds in accordance with an embodiment of the invention;

0021<figref idref="DRAWINGS">FIG. 9</figref> is a graphical representation illustrating the geometry of the rotation towards the view reference point of each point that falls within the lens bounds in accordance with an embodiment of the invention;

0022<figref idref="DRAWINGS">FIG. 10</figref> is a graphical representation illustrating the geometry of a discontinuity occurring between the shoulder region and the context data after the application of the displacement and rotation transformations in accordance with an embodiment of the invention;

0023<figref idref="DRAWINGS">FIG. 11</figref> is a graphical representation illustrating the geometry of the projection of the two dimensional version of a point onto the axis of rotation and the resulting edge points in accordance with an embodiment of the invention;

0024<figref idref="DRAWINGS">FIG. 12</figref> is a graphical representation illustrating the geometry of the final lens resulting from the displacement of terrain data that fell within the lens bounds in accordance with an embodiment of the invention; and,

0025<figref idref="DRAWINGS">FIG. 13</figref> is a flow chart illustrating operations of modules within the memory of a data processing system for generating a presentation of a region-of-interest in a terrain data representation for display on a display screen, in accordance with an embodiment of the application.

0026It will be noted that throughout the appended drawings, like features are identified by like reference numerals.

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

0027In the following description, details are set forth to provide an understanding of the invention. In some instances, certain software, circuits, structures and methods have not been described or shown in detail in order not to obscure the invention. The term “data processing system” is used herein to refer to any machine for processing data, including the computer systems and network arrangements described herein. The present invention may be implemented in any computer programming language provided that the operating system of the data processing system provides the facilities that may support the requirements of the present invention. Any limitations presented would be a result of a particular type of operating system or computer programming language and would not be a limitation of the present invention.

0028As mentioned above, a detail-in-context presentation may be considered as a distorted view (or distortion) of a portion of the original representation or image where the distortion is the result of the application of a “lens” like distortion function to the original representation. In general, detail-in-context data presentations are characterized by magnification of areas of an image where detail is desired, in combination with compression of a restricted range of areas of the remaining information, the result typically giving the appearance of a lens having been applied to the display surface. Using the techniques described by Carpendale, points in a representation are displaced in three dimensions and a perspective projection is used to display the points on a two-dimensional presentation display. Thus, when a lens is applied to a two-dimensional continuous surface representation, for example, the resulting presentation appears to be three-dimensional. In other words, the lens transformation appears to have stretched the continuous surface in a third dimension. In EPS graphics technology, a two-dimensional visual representation is placed onto a surface; this surface is placed in three-dimensional space; the surface, containing the representation, is viewed through perspective projection; and the surface is manipulated to effect the reorganization of image details. The presentation transformation is separated into two steps: surface manipulation or distortion and perspective projection.

0029<figref idref="DRAWINGS">FIG. 1</figref> is a graphical representation illustrating the geometry <b>100</b> for constructing a three-dimensional (“3D”) perspective viewing frustum <b>220</b>, relative to an x, y, z coordinate system, in accordance with elastic presentation space (EPS) graphics technology and an embodiment of the invention. In EPS technology, detail-in-context views of two-dimensional (“2D”) visual representations are created with sight-line aligned distortions of a 2D information presentation surface within a 3D perspective viewing frustum <b>220</b>. In EPS, magnification of regions of interest and the accompanying compression of the contextual region to accommodate this change in scale are produced by the movement of regions of the surface towards the viewpoint (“VP”) <b>240</b> located at the apex of the pyramidal shape containing the frustum <b>220</b>. The process of projecting these transformed layouts via a perspective projection results in a new 2D layout which includes the zoomed and compressed regions. The use of the third dimension and perspective distortion to provide magnification in EPS provides a meaningful metaphor for the process of distorting the information presentation surface. The 3D manipulation of the information presentation surface in such a system is an intermediate step in the process of creating a new 2D layout of the information.

0030<figref idref="DRAWINGS">FIG. 2</figref> is a graphical representation illustrating the geometry <b>200</b> of a presentation in accordance with EPS graphics technology and an embodiment of the invention. EPS graphics technology employs viewer-aligned perspective projections to produce detail-in-context presentations in a reference view plane <b>201</b> which may be viewed on a display. Undistorted 2D data points are located in a base plane <b>210</b> of a 3D perspective viewing volume or frustum <b>220</b> which is defined by extreme rays <b>221</b> and <b>222</b> and the base plane <b>210</b>. The VP <b>240</b> is generally located above the centre point of the base plane <b>210</b> and reference view plane (“RVP”) <b>201</b>. Points in the base plane <b>210</b> are displaced upward onto a distorted surface or “lens” <b>230</b> which is defined by a general 3D distortion function (i.e., a detail-in-context distortion basis function). The direction of the viewer-aligned perspective projection corresponding to the distorted surface or lens <b>230</b> is indicated by the line FPo-FP <b>231</b> drawn from a point FPo <b>232</b> in the base plane <b>210</b> through the point FP <b>233</b> which corresponds to the focal point, focus, or focal region <b>233</b> of the distorted surface or lens <b>230</b>. Typically, the perspective projection has a uniform direction <b>231</b> that is viewer-aligned (i.e., the points FPo <b>232</b>, FP <b>233</b>, and VP <b>240</b> are collinear).

0031EPS is applicable to multidimensional data and is well suited to implementation on a computer for dynamic detail-in-context display on an electronic display surface such as a monitor. In the case of two dimensional data, EPS is typically characterized by magnification of areas of an image where detail is desired <b>233</b>, in combination with compression of a restricted range of areas of the remaining information (i.e., the context) <b>234</b>, the end result typically giving the appearance of a lens <b>230</b> having been applied to the display surface. The areas of the lens <b>230</b> where compression occurs may be referred to as the “shoulder” or shoulder region <b>234</b> of the lens <b>230</b>. The area of the representation transformed by the lens may be referred to as the “lensed area”. The lensed area thus includes the focal region <b>233</b> and the shoulder region <b>234</b>. To reiterate, the source image or representation to be viewed is located in the base plane <b>210</b>. Magnification <b>233</b> and compression <b>234</b> are achieved through elevating elements of the source image relative to the base plane <b>210</b>, and then projecting the resultant distorted surface onto the reference view plane <b>201</b>. EPS performs detail-in-context presentation of n-dimensional data through the use of a procedure wherein the data is mapped into a region in an (n+1) dimensional space, manipulated through perspective projections in the (n+1) dimensional space, and then finally transformed back into n-dimensional space for presentation. EPS has numerous advantages over conventional zoom, pan, and scroll technologies, including the capability of preserving the visibility of information outside <b>210</b>, <b>234</b> the local region of interest <b>233</b>.

0032For example, and referring to <figref idref="DRAWINGS">FIGS. 1 and 2</figref>, in two dimensions, EPS can be implemented through the projection of an image onto a reference plane <b>201</b> in the following manner. The source image or representation is located on a base plane <b>210</b>, and those regions of interest <b>233</b> of the image for which magnification is desired are elevated so as to move them closer to a reference plane situated between the reference viewpoint <b>240</b> and the reference view plane <b>201</b>. Magnification of the focal region <b>233</b> closest to the RVP <b>201</b> varies inversely with distance from the RVP <b>201</b>. As shown in <figref idref="DRAWINGS">FIGS. 1 and 2</figref>, compression of regions <b>234</b> outside the focal region <b>233</b> is a function of both distance from the RVP <b>201</b>, and the gradient of the function (i.e., the shoulder function or drop-off function) describing the vertical distance from the RVP <b>201</b> with respect to horizontal distance from the focal region <b>233</b>. The resultant combination of magnification <b>233</b> and compression <b>234</b> of the image as seen from the reference viewpoint <b>240</b> results in a lens-like effect similar to that of a magnifying glass applied to the image. Hence, the various functions used to vary the magnification and compression of the source image via vertical displacement from the base plane <b>210</b> are described as lenses, lens types, or lens functions. Lens functions that describe basic lens types with point and circular focal regions, as well as certain more complex lenses and advanced capabilities such as folding, have previously been described by Carpendale.

0033<figref idref="DRAWINGS">FIG. 3</figref> is a block diagram of a data processing system <b>300</b> adapted to implement an embodiment of the invention. The data processing system <b>300</b> is suitable for implementing EPS technology and for generating detail-in-context presentations of elevation data representations. The data processing system <b>300</b> includes an input device <b>310</b>, a central processing unit (“CPU”) <b>320</b>, memory <b>330</b>, and a display <b>340</b>. The input device <b>310</b> may include a keyboard, mouse, trackball, or similar device. The CPU <b>320</b> may include dedicated coprocessors and memory devices. The memory <b>330</b> may include RAM, ROM, databases, or disk devices. And, the display <b>340</b> may include a computer screen, terminal device, or a hard-copy producing output device such as a printer or plotter. The data processing system <b>300</b> has stored therein data representing sequences of instructions which when executed cause the method described herein to be performed. Of course, the data processing system <b>300</b> may contain additional software and hardware a description of which is not necessary for understanding the invention.

0034Thus, the data processing system <b>300</b> includes computer executable programmed instructions for directing the system <b>300</b> to implement the embodiments of the present invention. The programmed instructions may be embodied in one or more hardware or software modules <b>331</b> resident in the memory <b>330</b> of the data processing system <b>300</b>. Alternatively, the programmed instructions may be embodied on a computer readable medium (such as a CD disk or floppy disk) which may be used for transporting the programmed instructions to the memory <b>330</b> of the data processing system <b>300</b>. Alternatively, the programmed instructions may be embedded in a computer-readable, signal or signal-bearing medium that is uploaded to a network by a vendor or supplier of the programmed instructions, and this signal or signal-bearing medium may be downloaded through an interface to the data processing system <b>300</b> from the network by end users or potential buyers.

0035As mentioned, detail-in-context presentations of data using techniques such as pliable surfaces, as described by Carpendale, are useful in presenting large amounts of information on display surfaces of variable size. Detail-in-context views allow magnification of a particular region-of-interest (the “focal region”) <b>233</b> in a data presentation while preserving visibility of the surrounding information <b>210</b>.

0036Now, referring to <figref idref="DRAWINGS">FIG. 12</figref>, the present invention provides a method for viewing a region-of-interest (e.g., at <b>480</b>) within terrain data <b>450</b> using a detail-in-context lens <b>1210</b>. A terrain dataset <b>450</b> is assumed to consist of a set of (x, y, z) coordinates, where the (x, y) coordinates denote a position on the earth, and the z coordinate specifies the elevation of the earth at the (x, y) position. The detail-in-context lens <b>1210</b> is assumed to have a circular focal region <b>1220</b> (although it may have any other shape) and a shoulder region <b>1230</b> defined by a finite drop-off function or shoulder function. The method of the present invention allows a user to apply a detail-in-context terrain lens <b>1210</b> to a terrain dataset <b>450</b>, and view the terrain data from any point above the terrain surface. As the viewpoint vrp moves, the terrain lens <b>1210</b> is altered such that the terrain data that is in the focal region <b>1220</b> of the lens <b>1210</b> is always in view. The method of the present invention includes the steps described below which refer to <figref idref="DRAWINGS">FIGS. 4-12</figref>.

0037<figref idref="DRAWINGS">FIG. 4</figref> is a graphical representation illustrating the geometry <b>400</b> of a terrain dataspace <b>470</b> and an apex-aligned vector <b>460</b> in accordance with an embodiment of the invention. <figref idref="DRAWINGS">FIG. 4</figref> shows the definition of the terrain dataspace <b>470</b> and the apex-aligned vector <b>460</b>.

0038Step 1: Define the terrain dataspace <b>470</b> in which the terrain dataset <b>450</b> is viewed. The terrain dataspace <b>470</b> consists of a perspective viewing volume <b>471</b> that is defined by an apex (or camera position) <b>440</b> and a viewing frustum <b>420</b>. The terrain dataset <b>450</b> is defined with respect to the z=0 base plane <b>410</b> (i.e., the x, y plane). A user can view the terrain dataset <b>450</b> from any point above the terrain surface <b>410</b> . The viewpoint is referred to as the view reference point vrp in <figref idref="DRAWINGS">FIG. 4</figref>.

0039Step 2: Calculate the apex-aligned vector <b>460</b>. The apex-aligned vector <b>460</b> is a vector from the three-dimensional lens position <b>480</b> to the apex <b>440</b> of the viewing frustum <b>420</b>. The x, y coordinates of the three-dimensional lens position <b>480</b> are defined by the user in the z=0 plane. The z coordinate of the lens position <b>480</b> is found by approximation using the surrounding terrain dataset <b>450</b> elevation values. The method of approximation is described in more detail in the optimizations section below. Mathematically, the apex-aligned vector is defined as a=apex−lenspos, where apex is the apex <b>440</b> of the viewing frustum <b>420</b> and lenspos is the three-dimensional lens position <b>480</b>. <figref idref="DRAWINGS">FIG. 4</figref> illustrates the definition of the apex-aligned vector <b>460</b>.

0040<figref idref="DRAWINGS">FIG. 5</figref> is a graphical representation illustrating the geometry <b>500</b> of a portion <b>510</b> of the base plane <b>410</b> in which the terrain dataset <b>450</b> is defined and which is rotated such that it remains perpendicular to the apex-aligned vector <b>460</b> in accordance with an embodiment of the invention.

0041Step 3: Rotate each point of the dataset <b>450</b> that falls within the lens bounds <b>482</b> such that a corresponding portion <b>510</b> of the base plane <b>410</b> in which the terrain dataset <b>450</b> is defined remains perpendicular to the apex-aligned vector <b>460</b>. As stated above, the terrain dataset <b>450</b> is defined with respect to the z=0 plane. As the lens position <b>480</b> is moved, the apex-aligned vector <b>460</b> will no longer be perpendicular to the z=0 plane (see <figref idref="DRAWINGS">FIG. 5</figref>). In order to maintain the spatial relationship of the points that fall within the lens bounds <b>482</b> during the detail-in-context displacement, the portion <b>510</b> of the base plane <b>410</b> in which the terrain dataset <b>450</b> is defined is rotated such that it remains perpendicular to the apex-aligned vector <b>460</b>.

0042Each point of the dataset <b>450</b> within the lens bounds <b>482</b> is rotated by an appropriate amount such that each point maintains its perpendicular spatial relationship with respect to the apex-aligned vector <b>460</b>. Since the displacement algorithm utilizes a perspective viewing volume <b>471</b>, and the terrain dataset <b>450</b> is assumed to be viewed through the perspective viewing volume <b>471</b>, the rotation of each point is specified as a translation instead of using a rotation matrix. This is due to the fact that, when viewed through a perspective viewing volume <b>471</b>, objects do not visually maintain their shapes as they are rotated about arbitrary axes. For example, a circle that is defined in the z=0 plane within a viewing frustum that has an apex defined along the positive z axis will visually become an oval when rotated about the x or y axes. In order to maintain the visual shape of the lens and focal region, each point within the lens bounds <b>482</b> is translated an appropriate distance along the apex-aligned vector <b>460</b>. This ensures that the bounds <b>482</b> of the lens remain visually constant as the lens is moved around the dataspace <b>470</b>. The calculations for determining the amount of translation for each point that falls within the lens bounds <b>482</b> are described in the following.

0043<figref idref="DRAWINGS">FIG. 6</figref> is a graphical representation illustrating the geometry <b>600</b> for finding the maximum translation value <b>610</b> for a point using similar triangles in accordance with an embodiment of the invention.

0044Step 3a: Calculate the maximum translation <b>610</b> that can occur. The pseudo-rotation of the points within a lens bounds <b>482</b> occurs about an axis of rotation. The axis of rotation can be found by taking the cross-product of the unit vector (0,0,1) with the apex-aligned vector <b>460</b> or a, that is, (0,0,1)×a=axis.

0045The maximum translation <b>610</b> occurs for the points (when taken with respect to the centre of the lens <b>480</b>) that are on the lens bounds <b>482</b> and that are perpendicular to the axis of rotation. Mathematically, a point p for which maximum translation occurs is a point for which the following equation holds true: (p−lenspos)·axis=0, when p is on the lens bounds <b>482</b>. The maximum translation <b>610</b> that can occur for a point p is found and is used to interpolate the translation values for all points interior to the lens bounds <b>482</b>.

0046The maximum translation value <b>610</b> is found by taking a point p that is perpendicular to the axis of rotation (as stated above), and projecting it onto the rotated plane (see <figref idref="DRAWINGS">FIG. 6</figref>). The distance from the original point p to the projected point p_projectedis the maximum translation value <b>610</b>. As shown in <figref idref="DRAWINGS">FIG. 6</figref>, similar triangles can be used to find the maximum translation value for a point p. Mathematically, the maximum translation value maxt <b>610</b> is as follows: maxt−∥(0,0,radius)−proj ((0,0,radius), a)∥, where a is the apex-aligned vector <b>460</b>, radius or r is the radius of the lens bounds <b>482</b>, and the function proj(i, j) returns the projection of vector i onto vector j.

0047<figref idref="DRAWINGS">FIG. 7</figref> is a graphical representation illustrating the geometry <b>700</b> of a projection for finding the scaling factor that is used in the calculation of the magnitude of translation for a point p in accordance with an embodiment of the invention.

0048Step 3b: Calculate the magnitude of the translation for each point p. To find the magnitude of the translation for each point p, the apex-aligned vector a or <b>460</b> is projected onto the z=0 plane which results in a two-dimensional vector a_2D(i.e., where the z coordinate is 0). This is equivalent to taking the x and y coordinates, and disregarding the z coordinate: a_2D=(a_x, a_y). The a_2Dvector is then normalized. Each point p within the lens bounds <b>482</b> is projected onto the z=0 plane (but no normalization occurs), and is specified as a vector with respect to the centre of the lens lenspos or <b>480</b>: p_2D=(p_x, p_y)−(lenspos_x, lenspos_y). The vectors a_2Dand p_2Dare used to find a scaling factor <b>25</b> that will scale the maximum translation value maxt <b>610</b>, which will result in the magnitude of translation for the point p. The scaling factor scale_pis found by projecting p_2Donto a_2D, and taking the magnitude of the resulting vector (see <figref idref="DRAWINGS">FIG. 7</figref>): scale_p=∥proj (p_2D, a_2D)∥. The magnitude of translation trans_pof the point p is the maximum translation value <b>610</b> scaled by the scaling factor scale_p: trans_p=(−scale_p/radius)*maxt, where radius is the radius r of the lens bounds <b>482</b>.

0049Step 3c: Translate each point p with respect to the lens position <b>480</b>. Each point p is translated with respect to the lens position <b>480</b> in order to maintain the spatial relationships between points. Therefore, each point p is projected onto the plane that contains the lens position point <b>480</b> and that is parallel to the z=0 plane. Once the point has been projected onto this plane, the point is translated along the apex-aligned vector a or <b>460</b>, by a magnitude of translation trans_p: p_translated=(p_x, p_y, lenspos_z)+trans_p*a_normalized, where a_normalizedis the unit apex-aligned vector. Since the elevation value of the point was eliminated when the point was projected onto the plane that contains the lens position <b>480</b>, the elevation value must be added back to the point: p_translated=p_translated+(p_z−lenspos_z)*a_normalized.

0050Step 4: Displace each point p by the appropriate magnification factor. As shown in <figref idref="DRAWINGS">FIG. 4</figref>, a user can view the terrain dataset <b>450</b> from any point vrp above the terrain surface. Since the displacement of each point p should not exceed the vrp, the magnitude of displacement is computed with respect to the vrp. The magnitude of displacement takes into consideration the original elevation height of a point p and is computed using the equation height_p=h−(h/mag), where mag is the desired magnification of the lens, h=∥vo∥−p_z, and vo is the vector from the origin of the dataspace <b>490</b> in which the terrain data <b>450</b> is defined to the vrp. If the point p is within the shoulder region of the lens (i.e., between the focal bounds <b>481</b> and the lens bounds <b>482</b>), then the magnitude of displacement must be scaled by the shoulder drop-off function: height_p=shoulder(p)*(h−(h/mag)).

0051<figref idref="DRAWINGS">FIG. 8</figref> is a graphical representation illustrating the geometry <b>800</b> of the result of the pseudo-rotation and displacement of each point p that falls within the lens bounds <b>482</b> in accordance with an embodiment of the invention. The displacement of a point p is performed using the translated point p_translatedthat was found above and adding the height value height_palong the z-normalized apex-aligned vector: p_displaced=p_translated+height_p*a_znormalized. The result of the displacement of all points p within the lens bounds <b>482</b>, that is, the displaced data or lens <b>810</b>, is shown in <figref idref="DRAWINGS">FIG. 8</figref>.

0052<figref idref="DRAWINGS">FIG. 9</figref> is a graphical representation illustrating the geometry <b>900</b> of the rotation towards the vrp of each point p that falls within the lens bounds <b>482</b> in accordance with an embodiment of the invention. In <figref idref="DRAWINGS">FIG. 9</figref>, the angle and axis of rotation are computed using the ao and vo vectors.

0053Step 5: Rotate the lens <b>810</b> towards the view reference point vrp. Since the terrain dataset <b>450</b> can be viewed from any point vrp above the terrain surface, it would be useful to be able to see the lens focal region (i.e., the region between the lens position <b>480</b> and the focal bounds <b>481</b>) at all times from the viewpoint. To accomplish this, each point p that falls within the lens bounds <b>482</b> is rotated towards the vrp. Given the origin o or <b>490</b> of the dataspace <b>470</b> in which the terrain data <b>450</b> is defined, two vectors ao=(apex−o)_normalizedand vo=(vrp−o)_normalizedare defined. The axis of rotation is computed using the cross-product of the two vectors axis=ao×vo, and the angle of rotation is θ=arccos(ao·vo) (see <figref idref="DRAWINGS">FIG. 9</figref>). Quaternions are used to rotate each point p_displacedof the displaced data <b>810</b> by an angle θ about the axis of rotation axis which yields the desired rotated point p_rotated.

0054<figref idref="DRAWINGS">FIG. 10</figref> is a graphical representation illustrating the geometry <b>1000</b> of a discontinuity <b>1030</b> occurring between the shoulder region <b>1010</b> and the context data <b>450</b> after the application of the displacement and rotation transformations in accordance with an embodiment of the invention.

0055Step 6: Create smooth shoulders <b>1010</b> that are connected to the context data <b>450</b>. After displacement and rotation, the shoulders <b>1010</b> of the lens <b>810</b> do not line up correctly with the context data <b>450</b> (i.e., points that fall outside of the lens bounds <b>482</b>). <figref idref="DRAWINGS">FIG. 10</figref> illustrates the resulting discontinuities <b>1030</b>. In order to connect the shoulders <b>1010</b> to the context <b>450</b> (i.e., the terrain data <b>450</b> beyond the lens bounds <b>482</b>), each point p that falls within the shoulder <b>1010</b> of the lens <b>810</b> will be translated an appropriate amount which will compensate for the discontinuity <b>1030</b>. The following steps are used to find the magnitude and direction of translation for a point p that falls within the shoulder <b>1010</b> of the lens <b>810</b>.

0056Step 6a: Find the axis of rotation that a point p was rotated about. Each point p that falls within the shoulder <b>1010</b> of the lens <b>810</b> has undergone two rotation transformations (i.e., the pseudo-rotation towards the apex and the rotation towards the vrp). The axes of rotation for these two transformations may have been different. In other words, the rotation of any given point p is the result of two separate rotations. These two rotations can be expressed as a single rotation about a vector axis resulting from the cross product of ao and v (i.e., axis=ao×v ). The vector ao is defined above and the vector v=p_rotated−p.

0057<figref idref="DRAWINGS">FIG. 11</figref> is a graphical representation illustrating the geometry <b>1100</b> of the projection of p_2Donto the axis of rotation and the resulting edge points in accordance with an embodiment of the invention.

0058Step 6b: Project the point p onto the axis of rotation. The two-dimensional version of the point p was defined above as p_2D=(p_x, p_y)−(lenspos_x, lenspos_y). The vector p_2Dis projected onto the two-dimensional version of the axis of rotation axis_2D(see <figref idref="DRAWINGS">FIG. 11</figref>), or, p_projected=proj (p_2D, axiS_2D).

0059Step 6c: Find two points that are on the edge of the lens bounds <b>482</b> that form a line through p_projectedthat is perpendicular to axis_2D. In order to find two edge points that correspond to this definition, the equation of a line is used pt=pt_o+td, where pt_o=p_projected, and the direction vector is defined as d=(p_2D−p_projected)/∥(p_2D−p_projected)∥. The parameter t can be found using Pythagorean's Theorem: t=√(radius²−∥p_projected∥²) where radius or r is the radius of the lens bounds <b>482</b>. Two edge points pt<b>1</b>_2Dand pt<b>2</b>_2Dare found by using ±t in the line equation. The z elevation coordinates of these two points are found using the approximation method that is described in the optimizations section below, yielding the three-dimensional edge points pt<b>1</b> and pt<b>2</b>.

0060Step 6d: Apply rotation and displacement transformations to each edge point pt<b>1</b>, pt<b>2</b> and find the difference vectors diff₁, diff₂between the original and transformed edge points. Each edge point will undergo the pseudo-rotation, displacement, and final rotation transformations that are specified in Steps 2-5 above in order to obtain the difference between the original edge points (pt<b>1</b> and pt<b>2</b>) and the transformed edge points (pt<b>1</b>_transformedand pt<b>2</b>_transformed, respectively). This difference specifies the magnitude and direction of translation that the edge points will undergo, which will essentially connect the lens shoulder region <b>1010</b> back to the context data <b>450</b>. The difference vectors for each edge are used as a weighted average to find the amount of translation that is needed for points p that are interior to the lens bounds <b>282</b> (i.e., points that do not fall on the lens bounds <b>282</b> but rather fall between the lens bounds <b>282</b> and the focal bounds <b>481</b>).

0061<figref idref="DRAWINGS">FIG. 12</figref> is a graphical representation illustrating the geometry <b>1200</b> of the final lens <b>1210</b> resulting from the displacement of terrain data <b>450</b> that fell within the lens bounds <b>482</b> in accordance with an embodiment of the invention.

0062Step 6e: Calculate the amount of translation for a point p to obtain smooth shoulders <b>1010</b>. The difference vectors diff₁and diff₂that were found for each edge point are used as a weighted average to find the amount of translation for a point p. The weight w for diff₂is given by w=∥(p_x, p_y)=pt<b>2</b>_2D∥/∥Pt<b>1</b>_2D−pt<b>2</b>_2D∥, where pt<b>1</b>_2Dand pt<b>2</b>_2Dare as defined above. The difference vector diff_pfor point p is diff_p=(1−shoulder (p)) ((1−w) diff₁+w diff₂), where shoulder(p) is the shoulder drop-off function. Since the weighted average is taken across the entire bounds of the lens, and since the points that fall within the focal region <b>1040</b> of the lens <b>810</b> should not be translated (i.e., only the shoulders <b>1010</b> of the lens <b>810</b> are altered), the difference vector must take into consideration the focal region <b>1040</b> of the lens <b>810</b>. For this reason, the factor (1−shoulder (p)) is introduced. The final displacement of a point p is p_displaced=p_rotated+diff_p. <figref idref="DRAWINGS">FIG. 12</figref> shows a cross section of the final result <b>1210</b> of the displacement of terrain data that fell within the lens bounds <b>482</b>. Note that the resulting lens <b>1210</b> has shoulders <b>1230</b> surrounding the focal region <b>1220</b> that smoothly join the surrounding context <b>450</b> (i.e., the terrain data <b>450</b> beyond the lens bounds <b>482</b>).

0063The optimizations referred to above are described in the following.

0064Terrain Lens Mesh. The terrain datasets <b>450</b> that are used in terrain visualization are often very large in size, consisting of thousands of data points. When this is the case, due to processing limitations, it may not be feasible to run each point through the terrain displacement method described above. To increase efficiency of the method, a terrain lens mesh may be used to visualize the displacement of a terrain lens <b>1210</b>. The mesh bounds are defined as the bounds <b>482</b> of the lens <b>1210</b>. Two-dimensional points are inserted into the mesh and a Delauney triangulation is calculated. In order to visualize the terrain elevations, the z elevation of each point is approximated using the surrounding terrain dataset elevation values as described below. Once the z elevations for each point within the mesh have been approximated, each three-dimensional mesh point can be run through the terrain displacement method described above.

0065Elevation Approximations. Since terrain elevation datasets <b>450</b> are discrete and finite, any given coordinate that is within the bounds of the terrain dataset may not have an explicit elevation value associated with it. Therefore, within the terrain displacement method and the terrain lens mesh optimization both described above, an approximation for the z elevation for any given (x, y) coordinate may be used. This approximation uses the surrounding terrain dataset coordinates to compute the estimated elevation for an (x, y) coordinate. The terrain dataset coordinates can be random or ordered, but ordered points (such as a grid structure) will increase efficiency of the approximation algorithm. According to one embodiment, a bilinear approximation may be used given a grid structured terrain dataset. That is, given an (x, y) coordinate, its elevation may be approximated by finding the four enclosing grid coordinates that surround the (x, y) coordinate. Then, a bilinear interpolation is computed using the four elevation values associated with the four enclosing grid coordinates.

0066The above described method may be summarized with the aid of a flowchart. <figref idref="DRAWINGS">FIG. 13</figref> is a flow chart illustrating operations <b>1300</b> of modules <b>331</b> within the memory <b>330</b> of a data processing system <b>300</b> for generating a presentation of a region-of-interest (e.g., at <b>480</b>) in a terrain data representation <b>450</b> for display on a display screen <b>340</b>, in accordance with an embodiment of the application.

0067At step <b>1301</b>, the operations <b>1300</b> start.

0068At step <b>1302</b>, each point p of the representation <b>450</b> within a lens bounds <b>482</b> is translated to a rotated plane <b>510</b> being normal to a vector <b>460</b> defined by a position <b>480</b> for the region-of-interest with respect to a base plane <b>410</b> for the representation <b>450</b> and an apex <b>440</b> above the base plane <b>410</b>, the lens bounds <b>482</b> defining a shoulder region (i.e., between <b>482</b> and <b>481</b>) at least partially surrounding a focal bounds <b>481</b> defining a focal region (i.e., between <b>481</b> and <b>480</b>) in which the position <b>480</b> is located, each point p having a respective height pz above the base plane <b>410</b>.

0069At step <b>1303</b>, each translated point p_translatedis displaced from the rotated plane <b>510</b> by a function height_pof the respective height p_zand a magnification mag for the focal region <b>481</b>, <b>482</b>, the magnification mag varying across the shoulder region <b>481</b>, <b>482</b> in accordance with a drop-off function shoulder(p).

0070At step <b>1304</b>, each displaced point p_displacedis rotated toward a viewpoint vrp for the region-of-interest to maintain visibility of each displaced point p_displacedand each point p of the data representation <b>450</b> beyond the lens bounds <b>482</b> when viewed from the viewpoint vrp.

0071At step <b>1305</b>, each rotated point p_rotatedcorresponding to the shoulder region <b>481</b>, <b>482</b> is adjusted to provide a smooth transition <b>1230</b> to the data representation <b>450</b> beyond the lens bounds <b>482</b>.

0072At step <b>1306</b>, the operations <b>1300</b> end.

0073The method may further include projecting each adjusted point p_rotated+diff_pwithin the shoulder region <b>1230</b>, each rotated point p_rotatedwithin the focal region <b>1220</b>, and each point p of the representation <b>450</b> beyond the lens bounds <b>482</b> onto a plane <b>201</b> in a direction <b>231</b> aligned with the viewpoint vrp to produce the presentation. The method may further include displaying the presentation on the display screen <b>340</b>. The step of translating <b>1302</b> each point p may further include determining a maximum translation maxt <b>610</b> for a point p on the lens bounds <b>482</b> and determining a translation trans_pfor each point p within the lens bounds (i.e., between <b>482</b> and <b>480</b>) by scaling the maximum translation <b>610</b> in accordance with a distance scale_p/radius of each point from the lens bounds <b>482</b>. The function height_pmay be a product of the magnification mag and a difference h between a magnitude of a vector∥vo∥ defined by an origin <b>490</b> of the representation <b>450</b> with respect to the base plane <b>410</b> and the viewpoint vrp and the respective height p_z. The step of rotating <b>1304</b> each displaced point p_displacedmay further include determining an axis of rotation axis for the rotating from a cross product of a vector ao defined by an origin <b>490</b> of the representation <b>450</b> with respect to the base plane <b>410</b> and the viewpoint vrp and a vector vo defined by the origin <b>290</b> and the apex apex <b>440</b>. The step of the adjusting <b>1305</b> each rotated point p_rotatedcorresponding to the shoulder region <b>481</b>, <b>482</b> may further include adding to each rotated point p_rotateda weighted average diff_p=(1−shoulder (p)) ((1−w) diff₁+w diff₂) of first and second difference vectors diff₁, diff₂scaled by the drop-off function, the first and second difference vectors diff₁, diff₂corresponding to a difference between first and seconds points pt<b>1</b>, pt<b>2</b> on the lens bound <b>482</b> and corresponding first and second displaced points pt<b>1</b>_transformed, pt<b>2</b>_transformed, respectively, the first and second points pt<b>1</b>, pt<b>2</b> being on a line pt=pt_o+td drawn through the rotated point p_rotated. The method may further include approximating the representation <b>450</b> with a mesh. And, the method may further include approximating the respective height p_zusing height information from surrounding points.

0074While this invention is primarily discussed as a method, a person of ordinary skill in the art will understand that the apparatus discussed above with reference to a data processing system <b>300</b>, may be programmed to enable the practice of the method of the invention. Moreover, an article of manufacture for use with a data processing system <b>300</b>, such as a pre-recorded storage device or other similar computer readable medium including program instructions recorded thereon, may direct the data processing system <b>300</b> to facilitate the practice of the method of the invention. It is understood that such apparatus and articles of manufacture also come within the scope of the invention.

0075In particular, the sequences of instructions which when executed cause the method described herein to be performed by the exemplary data processing system <b>300</b> of <figref idref="DRAWINGS">FIG. 3</figref> can be contained in a data carrier product according to one embodiment of the invention. This data carrier product can be loaded into and run by the exemplary data processing system <b>300</b> of <figref idref="DRAWINGS">FIG. 3</figref>. In addition, the sequences of instructions which when executed cause the method described herein to be performed by the exemplary data processing system <b>300</b> of <figref idref="DRAWINGS">FIG. 3</figref> can be contained in a computer software product according to one embodiment of the invention. This computer software product can be loaded into and run by the exemplary data processing system <b>300</b> of <figref idref="DRAWINGS">FIG. 3</figref>. Moreover, the sequences of instructions which when executed cause the method described herein to be performed by the exemplary data processing system <b>300</b> of <figref idref="DRAWINGS">FIG. 3</figref> can be contained in an integrated circuit product (e.g., a hardware module) including a coprocessor or memory according to one embodiment of the invention. This integrated circuit product can be installed in the exemplary data processing system <b>300</b> of <figref idref="DRAWINGS">FIG. 3</figref>.

0076The embodiments of the invention described above are intended to be exemplary only. Those skilled in the art will understand that various modifications of detail may be made to these embodiments, all of which come within the scope of the invention.