Abstract: Improvement of the performance, usability, and functionality of software for editing three dimensional computer models and textures is described. Editing operations are performed on the model in an ordered list to reduce the amount of memory required to maintain previous versions, and certain editing operations are precalculated to reduce the amount of real time calculation required. Improvements to usability and functionality are provided by more precisely selecting portions of a model for editing, allowing textures to be moved more easily on the model, and allowing better blending of the appearance of adjacent textures.

Abstract: System and method for constructing a 3D model of an object based on a series of silhouette and texture map images. In the exemplary embodiment an object is placed on a rotating turntable and a camera, which is stationary, captures images of the object as it rotates on the turntable. In one pass, the system captures a number of photographic images that will be processed into image silhouettes. In a second pass, the system gathers texture data. After a calibration procedure (used to determine the camera's focal length and the turntable's axis of rotation), a silhouette processing module determines a set of two-dimensional polygon shapes (silhouette contour polygons) that describe the contours of the object. The system uses the silhouette contour polygons to create a 3D polygonal mesh model of the object. The system determines the shape of the 3D model analytically by finding the areas of intersection between the edges of the model faces and the edges of the silhouette contour polygons.

Abstract: Systems and methods for identifying the contour of an object that is depicted in an image. An object is placed on a rotating turntable and a camera, which is stationary, captures images of the object as it rotates on the turntable. In one pass, the system captures a number of photographic images that will be processed into image silhouettes. After a calibration procedure (used to determine the camera's focal length and the turntable's axis of rotation), a silhouette processing module determines a set of two-dimensional polygon shapes (silhouette contour polygons) that describe the contours of the object by comparing light intensity values in the images of the object with light intensity values from an image of the background without the object.

Abstract: System and method for constructing a 3D model of an object based on a series of silhouette and texture map images. In the exemplary embodiment an object is placed on a rotating turntable and a camera, which is stationary, captures images of the object as it rotates on the turntable. In one pass, the system captures a number of photographic images that will be processed into image silhouettes. In a second pass, the system gathers texture data. After a calibration procedure (used to determine the camera's focal length and the turntable's axis of rotation), a silhouette processing module determines a set of two-dimensional polygon shapes (silhouette contour polygons) that describe the contours of the object. The system uses the silhouette contour polygons to create a 3D polygonal mesh model of the object. The system determines the shape of the 3D model analytically by finding the areas of intersection between the edges of the model faces and the edges of the silhouette contour polygons.

Abstract: System and method for constructing a 3D model of an object based on a series of silhouette and texture map images. In the exemplary embodiment an object is placed on a rotating turntable and a camera, which is stationary, captures images of the object as it rotates on the turntable. In one pass, the system captures a number of photographic images that will be processed into image silhouettes. In a second pass, the system gathers texture data. After a calibration procedure (used to determine the camera's focal length and the turntable's axis of rotation), a silhouette processing module determines a set of two-dimensional polygon shapes (silhouette contour polygons) that describe the contours of the object. The system uses the silhouette contour polygons to create a 3D polygonal mesh model of the object. The system determines the shape of the 3D model analytically by finding the areas of intersection between the edges of the model faces and the edges of the silhouette contour polygons.

Abstract: System and method for constructing a 3D model of an object based on a series of silhouette and texture map images. In the exemplary embodiment an object is placed on a rotating turntable and a camera, which is stationary, captures images of the object as it rotates on the turntable. In one pass, the system captures a number of photographic images that will be processed into image silhouettes. In a second pass, the system gathers texture data. After a calibration procedure (used to determine the camera's focal length and the turntable's axis of rotation), a silhouette processing module determines a set of two-dimensional polygon shapes (silhouette contour polygons) that describe the contours of the object. The system uses the silhouette contour polygons to create a 3D polygonal mesh model of the object. The system determines the shape of the 3D model analytically-by finding the areas of intersection between the edges of the model faces and the edges of the silhouette contour polygons.

Abstract: A system and method for the rapid creation of an optimized mesh model of a real world object, terrain or other three-dimensional surface. The mesh construction technique provides dynamic “up resolution/down resolution” mesh construction capabilities. The system inserts points into the mesh incrementally, ordering the points before each insertion so that dynamic resolution construction can be maintained. The point ordering process determines the distance each point has from the surface of a given mesh configuration such that the next point added will always be the point bringing the most significant detail to the mesh. This procedure of “optimal simplification” optimizes the mesh by guaranteeing the fewest number of points for the most detail at any given resolution.

Abstract: The present invention provides a system for illuminating an object with a special kind of structured light pattern, recording the shape of the reflected points of light by means of a camera, and, by a triangulation technique that does not depend on the fixed direction of the light source relative to the camera, reconstructing the 3D shape of the object through a computer using the data points collected from the reflection of the structured light pattern. The scanning system is portable and does not require data processing contemporaneous with the data collection. The portable system stores in the storage media several images of the objects with different illumination patterns. The data is subsequently processed, by a computer system which applies data processing routines, i.e., the model building algorithms which provide 3D surface generation.

Abstract: System and method for asynchronous transmission of video images such as from a sending to a receiving terminal or from a sending processor to a storage medium like videotape. The system receives moving picture image information such as analog video digitized into 2D bitmap data and employs a modeling system such as a triangulated mesh modeling system to create an initial image consisting of a compact set of N elements (such as the data points of a triangulated mesh) where the number of elements is less than the number of elements necessary to display the image. In the exemplary embodiment the model elements are bitmap pixel assignments, however other elements such as wavelets, or Fourier component elements, or iterated function system (IFS maps) could also be used.

Abstract: A system and method for the rapid creation of an optimized mesh model of a real world object, terrain or other three-dimensional surface. The mesh construction technique provides dynamic “up resolution/down resolution” mesh construction capabilities. The system inserts points into the mesh incrementally, ordering the points before each insertion so that dynamic resolution construction can be maintained. The point ordering process determines the distance each point has from the surface of a given mesh configuration such that the next point added will always be the point bringing the most significant detail to the mesh. This procedure of “optimal simplification” optimizes the mesh by guaranteeing the fewest number of points for the most detail at any given resolution.

Abstract: A system and method for the rapid creation of an optimized mesh model of a real world object, terrain or other three-dimensional surface. The mesh construction technique provides dynamic “up resolution/down resolution” mesh construction capabilities. The system inserts points into the mesh incrementally, ordering the points before each insertion so that dynamic resolution construction can be maintained. The point ordering process determines the distance each point has from the surface of a given mesh configuration such that the next point added will always be the point bringing the most significant detail to the mesh. This procedure of “optimal simplification” optimizes the mesh by guaranteeing the fewest number of points for the most detail at any given resolution.

Abstract: System and method for constructing a 3D model of an object based on a series of silhouette and texture map images. In the exemplary embodiment an object is placed on a rotating turntable and a camera, which is stationary, captures images of the object as it rotates on the turntable. In one pass, the system captures a number of photographic images that will be processed into image silhouettes. In a second pass, the system gathers texture data. After a calibration procedure (used to determine the camera's focal length and the turntable's axis of rotation), a silhouette processing module determines a set of two-dimensional polygon shapes (silhouette contour polygons) that describe the contours of the object. The system uses the silhouette contour polygons to create a 3D polygonal mesh model of the object. The system determines the shape of the 3D model analytically-by finding the areas of intersection between the edges of the model faces and the edges of the silhouette contour polygons.

Abstract: A computer-based system and method for refining of mesh model of a three-dimensional (3D) object or surface through adaptive subdivision that results in a smooth interpolation of the mesh surface. In one example, the system operates upon a triangulated mesh model and analyzes each edge of the triangle in question to determine whether that particular edge should be subdivided based on a predetermined subdivision criteria. After an analysis of each of the edges of that triangle (using the adaptive subdivision criteria) the system and method may make one of several different types of subdivisions—e.g. dividing the mesh triangle into two, three or four smaller triangles.

Abstract: Improvement of the performance, usability, and functionality of software for editing three dimensional computer models and textures is described. Editing operations are performed on the model in an ordered list to reduce the amount of memory required to maintain previous versions, and certain editing operations are precalculated to reduce the amount of real time calculation required. Improvements to usability and functionality are provided by more precisely selecting portions of a model for editing, allowing textures to be moved more easily on the model, and allowing better blending of the appearance of adjacent textures.

Abstract: A computer-based system and method for refining of mesh model of a three-dimensional (3D) object or surface through adaptive subdivision that results in a smooth interpolation of the mesh surface. In one example, the system operates upon a triangulated mesh model and analyzes each edge of the triangle in question to determine whether that particular edge should be subdivided based on a predetermined subdivision criteria. After an analysis of each of the edges of that triangle (using the adaptive subdivision criteria) the system and method may make one of several different types of subdivisions—e.g. dividing the mesh triangle into two, three or four smaller triangles.

Abstract: A system and method for the rapid creation of an optimized mesh model of a real world object, terrain or other three-dimensional surface. The mesh construction technique provides dynamic “up resolution/down resolution” mesh construction capabilities. The system inserts points into the mesh incrementally, ordering the points before each insertion so that dynamic resolution construction can be maintained. The point ordering process determines the distance each point has from the surface of a given mesh configuration such that the next point added will always be the point bringing the most significant detail to the mesh. This procedure of “optimal simplification” optimizes the mesh by guaranteeing the fewest number of points for the most detail at any given resolution.

Abstract: A system and method for modeling 3D objects and 2D images by wireframe mesh constructions having data points that combine both spatial data and surface information such as color or texture data. The use of the complex data points (e.g., X, Y, Z, R, G, B in 3D and x, y, R, G, B in 2D) allows the modeling system to incorporate both the spatial features of the object or image as well as its color or other surface features into the wireframe mesh. The present invention's 3D object models (such as those created by laser scanning systems) do not require a separate texture map file for generating display or other object manipulations. In an exemplary embodiment, the mesh constructions of the present invention contain sufficient color information such that the triangles of the meshes can be rendered by any processor supporting linear or bilinear interpolation such as Gouraud shading (available in many 3D and 2½D systems).

Abstract: System and method for rapid collection of data points and construction of a computer model based on a multi-resolution mesh to describe the surface contours and color of an object. The system collects data by projecting shapes of light against the object and collecting (from a position of triangulation relative to the light projector) images of the light as it reflects from the object. The system and method of the present invention are comprised of a multiple laser stripe generation process to project a number of light shapes against the object, the collection of one or more reflected laser stripes in a single image of an images collector to gather sufficient information to reproduce points on the surface of the object. The system compresses the data associated with collected points, which allows for accurate values for the contours of the object to subpixel accuracy.

Abstract: System and method for asynchronous transmission of video images such as from a sending to a receiving terminal or from a sending processor to a storage medium like videotape. The system receives moving picture image information such as analog video digitized into 2D bitmap data and employs a modeling system such as a triangulated mesh modeling system to create an initial image consisting of a compact set of N elements (such as the data points of a triangulated mesh) where the number of elements is less than the number of elements necessary to display the image. In the exemplary embodiment the model elements are bitmap pixel assignments, however other elements such as wavelets, or Fourier component elements, or iterated function system (IFS maps) could also be used.

Abstract: System and method for rapid collection of data points and construction of a computer model based on a multi-resolution mesh to describe the surface contours and color of an object. The system collects data by projecting shapes of light against the object and collecting (from a position of triangulation relative to the light projector) images of the light as it reflects from the object. The system and method of the present invention are comprised of a multiple laser stripe generation process to project a number of light shapes against the object, the collection of one or more reflected laser stripes in a single image of an images collector to gather sufficient information to reproduce points on the surface of the object. The system compresses the data associated with collected points, which allows for accurate values for the contours of the object to subpixel accuracy.