Abstract: Methods and apparatus are disclosed to analyze processor system. An example method to analyze execution of a multi-threaded program on a processor system includes generating a first program trace associated with the execution of a first thread, generating a first list of execution frequencies associated with the first program trace, generating a second program trace associated with the execution of a second thread, generating a second list of execution frequencies associated with the second trace, generating a first set of one or more vectors for the first list of execution frequencies, generating a second set of one or more vectors for the second list of execution frequencies, and analyzing the one or more vectors to identify one or more program phases.

Abstract: A system and method of determining 3D information about a 3D scene using shadows that are cast on the 3D object.

Abstract: A system and method are provided for compressing a graphical representation that describes the appearance of an object from a plurality of viewing directions. Compressing includes accessing the graphical representation, removing redundant descriptive information from the graphical representation and representing the remaining information for efficient rendering, such as rendering with hardware-assisted computation.

Abstract: Embodiments of the present invention provide for compressing an image matrix by partitioning the image into overlapping sub-blocks, weighting each sub-block, and performing a decomposition of the weighted sub-blocks into a weighted sum of vector outer products, such as a singular value decomposition. Compression is provided by representing the image matrix by a subset of the scalar weights and associated vectors used in the decomposition. Embodiments of the present invention provide for synthesizing an image matrix by performing weighted sums of vector outer products based upon the subsets of scalar weights and associated vectors obtained during compression to provide synthesized sub-blocks, and overlaying and summing the synthesized sub-blocks to provide the synthesized image matrix.

Abstract: The present invention allows for the locations of points of interest in a calibration object in a calibration image for a digital camera to be identified automatically. The image is an array of pixels corresponding to the calibration object, which has a known reference pattern. In a preferred embodiment, the invention includes receiving an array of pixels produced by a camera, classifying each pixel of the image as light or dark, extracting contours from the image by identifying lines between light and dark pixels, comparing the extracted contours to the shapes of the known reference pattern, and identifying the shapes of the known reference pattern in the image using the extracted contours. Preferably, the image is a color image, and the color information in the pixels of the image are converted into gray scale values to render the image as a gray scale image before the pixels are classified.

Abstract: A system and method are provided for displaying approximate graphical representations that describe the appearance of an object from a plurality of viewing directions. Displaying includes accessing the approximate graphical representation and creating an appearance for the object based on the approximate graphical representation. The system and method may use hardware-assisted computation to create the appearances. The object is then displayed using the appearances.

Abstract: Embodiments of the present invention provide for compressing an image matrix by partitioning the image into overlapping sub-blocks, weighting each sub-block, and performing a decomposition of the weighted sub-blocks into a weighted sum of vector outer products, such as a singular value decomposition. Compression is provided by representing the image matrix by a subset of the scalar weights and associated vectors used in the decomposition. Embodiments of the present invention provide for synthesizing an image matrix by performing weighted sums of vector outer products based upon the subsets of scalar weights and associated vectors obtained during compression to provide synthesized sub-blocks, and overlaying and summing the synthesized sub-blocks to provide the synthesized image matrix.

Abstract: A technique for capturing the surface of three-dimensional (“3D”) objects using structured lighting. The movement of shadow across the 3D objects is optically recorded. Variation in brightness on the surface provides a cue for triangulation. By analyzing the variation in brightness of a particular point on the surface, the location of that point is determined based on the movement of the shadow. With known locations for a camera and a light source, the coordinates in space of the point is triangulated. By repeating this process, a collection of coordinates is created. Those coordinates are then used to reconstruct the 3D surface.

Abstract: A method and system using a data-driven model for monocular face tracking are disclosed, which provide a versatile system for tracking three-dimensional (3D) images, e.g., a face, using a single camera. For one method, stereo data based on input image sequences is obtained. A 3D model is built using the obtained stereo data. A monocular image sequence is tracked using the built 3D model. Principal Component Analysis (PCA) can be applied to the stereo data to learn, e.g., possible facial deformations, and to build a data-driven 3D model (“3D face model”). The 3D face model can be used to approximate a generic shape (e.g., facial pose) as a linear combination of shape basis vectors based on the PCA analysis.

Abstract: The present invention describes a procedure designed to reduce artifacts full-frame animations are taken and converted for use on an interlaced display (such as NTSC televisions). Each frame of animation is rendered at four times video resolution (1440×960 for video at 720×480) and twice temporal resolution (120 frames per second). Each frame is then resized with bicubic interpolation to 720×480 to produce smooth antialiased frames. Every pair of frames is then frame blended together to form one frame with motion blur. A gaussian blur of 0.2 pixel radius is applied to each frame and, finally, odd fields from each odd frame are interlaced with even fields from each even frame. The resulting video is smooth with minimal aliasing artifacts.

Abstract: A system and method are provided for compressing a graphical representation that describes the appearance of an object from a plurality of viewing directions. Compressing includes accessing the graphical representation, removing redundant descriptive information from the graphical representation and representing the remaining information for efficient rendering, such as rendering with hardware-assisted computation.

Abstract: A system and method are provided for displaying approximate graphical representations that describe the appearance of an object from a plurality of viewing directions. Displaying includes accessing the approximate graphical representation and creating an appearance for the object based on the approximate graphical representation. The system and method may use hardware-assisted computation to create the appearances. The object is then displayed using the appearances.

Abstract: A system and method of determining 3D information about a 3D scene using shadows that are cast on the 3D object.

Abstract: A technique for capturing the surface of three-dimensional (“3D”) objects using structured lighting. The movement of shadow across the 3D objects is optically recorded. Variation in brightness on the surface provides a cue for triangulation. By analyzing the variation in brightness of a particular point on the surface, the location of that point is determined based on the movement of the shadow. With known locations for a camera and a light source, the coordinates in space of the point is triangulated. By repeating this process, a collection of coordinates is created. Those coordinates are then used to reconstruct the 3D surface.

Abstract: A technique for capturing the surface of three-dimensional (“3D”) objects using structured lighting. The movement of shadow across the 3D objects is optically recorded. Variation in brightness on the surface provides a cue for triangulation. By analyzing the variation in brightness of a particular point on the surface, the location of that point is determined based on the movement of the shadow. With known locations for a camera and a light source, the coordinates in space of the point is triangulated. By repeating this process, a collection of coordinates is created. Those coordinates are then used to reconstruct the 3D surface.