Abstract: Systems and methods of the present disclosure can facilitate determining a three-dimensional surface representation of an object. In some embodiments, the system includes a computer, a calibration module, which is configured to determine a camera geometry of a set of cameras, and an imaging module, which is configured to capture spatial images using the cameras. The computer is configured to determine epipolar lines in the spatial images, transform the spatial images with a collineation transformation, determine second derivative spatial images with a second derivative filter, construct epipolar plane edge images based on zero crossings of second derivative epipolar planes image based on the epipolar lines, select edges and compute depth estimates, sequence the edges based on contours in a spatial edge image, filter the depth estimates, and create a three-dimensional surface representation based on the filtered depth estimates and the original spatial images.

Abstract: Systems and methods of the present disclosure can facilitate determining a three-dimensional surface representation of an object. In some embodiments, the system includes a computer, a calibration module, which is configured to determine a camera geometry of a set of cameras, and an imaging module, which is configured to capture spatial images using the cameras. The computer is configured to determine epipolar lines in the spatial images, transform the spatial images with a collineation transformation, determine second derivative spatial images with a second derivative filter, construct epipolar plane edge images based on zero crossings of second derivative epipolar planes image based on the epipolar lines, select edges and compute depth estimates, sequence the edges based on contours in a spatial edge image, filter the depth estimates, and create a three-dimensional surface representation based on the filtered depth estimates and the original spatial images.

Abstract: Systems and methods of the present disclosure can facilitate determining a three-dimensional surface representation of an object. In some embodiments, the system includes a computer, a calibration module, which is configured to determine a camera geometry of a set of cameras, and an imaging module, which is configured to capture spatial images using the cameras. The computer is configured to determine epipolar lines in the spatial images, transform the spatial images with a collineation transformation, determine second derivative spatial images with a second derivative filter, construct epipolar plane edge images based on zero crossings of second derivative epipolar planes image based on the epipolar lines, select edges and compute depth estimates, sequence the edges based on contours in a spatial edge image, filter the depth estimates, and create a three-dimensional surface representation based on the filtered depth estimates and the original spatial images.

Abstract: Systems and methods of the present disclosure can facilitate determining a three-dimensional surface representation of an object. In some embodiments, the system includes a computer, a calibration module, which is configured to determine a camera geometry of a set of cameras, and an imaging module, which is configured to capture spatial images using the cameras. The computer is configured to determine epipolar lines in the spatial images, transform the spatial images with a collineation transformation, determine second derivative spatial images with a second derivative filter, construct epipolar plane edge images based on zero crossings of second derivative epipolar planes image based on the epipolar lines, select edges and compute depth estimates, sequence the edges based on contours in a spatial edge image, filter the depth estimates, and create a three-dimensional surface representation based on the filtered depth estimates and the original spatial images.

Abstract: Systems and methods of the present disclosure can facilitate determining a three-dimensional surface representation of an object. In some embodiments, the system includes a computer, a calibration module, which is configured to determine a camera geometry of a set of cameras, and an imaging module, which is configured to capture spatial images using the cameras. The computer is configured to determine epipolar lines in the spatial images, transform the spatial images with a collineation transformation, determine second derivative spatial images with a second derivative filter, construct epipolar plane edge images based on zero crossings of second derivative epipolar planes image based on the epipolar lines, select edges and compute depth estimates, sequence the edges based on contours in a spatial edge image, filter the depth estimates, and create a three-dimensional surface representation based on the filtered depth estimates and the original spatial images.

Abstract: Systems and methods of the present disclosure can facilitate determining a three-dimensional surface representation of an object. In some embodiments, the system includes a computer, a calibration module, which is configured to determine a camera geometry of a set of cameras, and an imaging module, which is configured to capture spatial images using the cameras. The computer is configured to determine epipolar lines in the spatial images, transform the spatial images with a collineation transformation, determine second derivative spatial images with a second derivative filter, construct epipolar plane edge images based on zero crossings of second derivative epipolar planes image based on the epipolar lines, select edges and compute depth estimates, sequence the edges based on contours in a spatial edge image, filter the depth estimates, and create a three-dimensional surface representation based on the filtered depth estimates and the original spatial images.

Abstract: Embodiments of the present invention disclose a system and method for multi-viewpoint video capture. According to one embodiment, the system includes a camera housing for accommodating both a first multi-imager set and a second multi-imager set, with each multi-imager set including a plurality of optical cameras having different viewpoint directions and configured to produce a source image. Furthermore, each camera in the first multi-imager set and the second multi-imager set include corresponding cameras facing in approximately the same viewpoint direction. The first multi-imager set is positioned laterally adjacent to the second multi-imager set such that lines joining a center of projection of corresponding cameras in the first multi-imager set and second multi-imager set are approximately parallel.

Abstract: A method for producing a customized print includes determining a color of at least one feature of an object, where the object is imaged with a reference color chart. A color palette is selected based on the at least one determined feature color and a print is generated based on the selected color palette. A system for producing a customized print is also described.

Abstract: Various embodiments of the present invention are directed to stereo display systems. In one embodiment, the stereo display system includes a display (402), a viewing area (404), and one or more pairs of stereo projectors (409-411). Each pair of stereo projectors corresponds to a sub-region of the viewing area. In addition, each pair of stereo projectors projects a rectified image pair onto the display so that one or more viewers located in the corresponding sub-region exclusively view the image pair, enabling the viewers in the sub-region to perceive three-dimensional images presented on the display.

Abstract: A system for generating disparity results comprises an interface, a first memory, a second memory, and a processor. The interface is for receiving a first element of a first set of image data and a first element of a second set of image data. The first memory is for storing the first element of the first set of image data. The second memory is for storing the first element of the second set of image data. The processor is for generating a disparity result for a first element before all elements of the first data set and the second data set have been received. The disparity result is generated using a low latency image processing system that processes a plurality of elements of the first set of image data and a plurality of elements of the second set of image data.

Abstract: A method for selecting a color palette includes receiving a feature from an image of an object and a reference color chart, calculating a transform to correct a color in the imaged reference color chart, correcting a color in the feature using the transform, and selecting a color palette based on the corrected feature color. The reference color chart includes reference colors, and the transform corrects the color in the imaged reference color chart to substantially equal a corresponding reference color. An apparatus for selecting a color palette is also described.

Abstract: A method for producing a customized print includes determining a color of at least one feature of an object, where the object is imaged with a reference color chart. A color palette is selected based on the at least one determined feature color and a print is generated based on the selected color palette. A system for producing a customized print is also described.

Abstract: A system for generating disparity results comprises an interface, a first memory, a second memory, and a processor. The interface is for receiving a first element of a first set of image data and a first element of a second set of image data. The first memory is for storing the first element of the first set of image data. The second memory is for storing the first element of the second set of image data. The processor is for generating a disparity result for a first element before all elements of the first data set and the second data set have been received. The disparity result is generated using a low latency image processing system that processes a plurality of elements of the first set of image data and a plurality of elements of the second set of image data.

Abstract: Embodiments of the present invention disclose a system and method for multi-viewpoint video capture. According to one embodiment, the system includes a camera housing for accommodating both a first multi-imager set and a second multi-imager set, with each multi-imager set including a plurality of optical cameras having different viewpoint directions and configured to produce a source image. Furthermore, each camera in the first multi-imager set and the second multi-imager set include corresponding cameras facing in approximately the same viewpoint direction. The first multi-imager set is positioned laterally adjacent to the second multi-imager set such that lines joining a center of projection of corresponding cameras in the first multi-imager set and second multi-imager set are approximately parallel.

Abstract: A method for determining a plurality of spatial relationships associated with a plurality of image capturing devices is disclosed. In one embodiment, the present method acquires sets of a plurality of source images from a plurality of image capturing devices. The present method then determines a plurality of transforms for each such set of source images for combining the acquired source images into a plurality of seamless images. The present method then determines a plurality of relative positions associated with the plurality of image capturing devices based on the plurality of transforms The present method then determines a plurality of spatial relationships associated with the plurality of image capturing devices based on the transforms and plurality of relative positions associated with the plurality of image capturing devices.

Abstract: A powerful, scaleable, and reconfigurable image processing system and method of processing data therein is described. This general purpose, reconfigurable engine with toroidal topology, distributed memory, and wide bandwidth I/O are capable of solving real applications at real-time speeds. The reconfigurable image processing system can be optimized to efficiently perform specialized computations, such as real-time video and audio processing. This reconfigurable image processing system provides high performance via high computational density, high memory bandwidth, and high I/O bandwidth. Generally, the reconfigurable image processing system and its control structure include a homogeneous array of 16 field programmable gate arrays (FPGA) and 16 static random access memories (SRAM) arranged in a partial torus configuration. The reconfigurable image processing system also includes a PCI bus interface chip, a clock control chip, and a datapath chip. It can be implemented in a single board.

Abstract: One embodiment in accordance with the invention is a video system that can include a display screen and a plurality of video capturing devices located behind the display screen. It is noted that each of the plurality of video capturing devices is for capturing a video stream through the display screen.

Abstract: A panoramic stereographic camera includes a first cylindrical array of imagers with adjoining fields of view that cover a panoramic portion of a scene, each imager in the first cylindrical array being oriented at a first skew angle. A second cylindrical array of imagers with adjoining fields of view covers the same panoramic portion of the scene. Each imager in the second cylindrical array is oriented at a second skew angle. The images formed by the first cylindrical array of imagers and images created by the second cylindrical array of imagers are combined to produce a panoramic stereographic image.

Abstract: A method for selecting a color palette includes receiving a feature from an image of an object and a reference color chart, calculating a transform to correct a color in the imaged reference color chart, correcting a color in the feature using the transform, and selecting a color palette based on the corrected feature color. The reference color chart includes reference colors, and the transform corrects the color in the imaged reference color chart to substantially equal a corresponding reference color. An apparatus for selecting a color palette is also described.

Abstract: A method for color blending seamless composite images without requiring overlap of source images is disclosed. A plurality of source images is acquired from a plurality of imagers and is combined to produce a seamless composite image. Moreover, a first reference location is selected in a first source image and a second reference location is selected in a second source image of the composite image. Color transform interpolation is then performed between the reference location in the first source image and the reference location in the second and other source images to produce a seamless color blended composite image without requiring overlap of image regions of the plurality of source images.