Abstract: Methods, systems, and computer program products for determining, without interrupting a video processing pipeline, whether currently used warping parameters are appropriate for a multi-camera system. New warping parameters may be determined, where these parameters cause the images rectified with these new parameters to have the desired geometric properties. This determination may be made without interrupting the video processing pipeline. Warping parameters may be determined, for example, such that the epipolar lines of the two cameras are horizontal and properly aligned, as defined below, and the metric 3D position of a point observed by both cameras can be determined and is accurate.

Abstract: Methods, systems, and computer program products to obtain a color image from a color filter array, such as, for example, a color filter array comprising a Bayer pattern. A method of image processing includes, for each pixel location (i,j) and for each color channel in a color image, determining a warped location (i?,j?) in a color filter array, and determining a color value of the color channel at location (i?,j?) in the color filter array. The method may further include storing the determined color value. The determining of the color value may include interpolating the color value of the color channel at location (i?,j?) in the color filter array. In this manner, a single interpolation operation set may be needed and an intermediate image may be avoided, saving memory, reducing processing time, minimizing artifacts, and reducing cost.

Abstract: Systems and methods to determine a disparity map using row causal scanline optimization stereo matching are presented. A method includes, for each corresponding pixel P between a pair of input stereo images, and for each considered disparity, determining a basic match cost and a match cost for each of a set of given orientations including an east orientation and one or more other orientations, determining an overall match cost for each pixel at each considered disparity based on a sum of the determined match costs for all considered orientations for each pixel and disparity pair, and determining a resulting disparity for each pixel based on a minimum of the determined overall match costs, where a subset of the determined resulting disparities becomes available prior to completion of the input images being read in, and where the resulting disparities for all pixels are determined in a single pass through the input images.

Abstract: Methods, systems, and computer program products to warp a depth map into alignment with an image, where the image sensor (e.g., camera) responsible for the image and depth sensor responsible for an original depth map are separated in space. In an embodiment, the warping of the depth map may be started before the original depth map has been completely read. Moreover, data from the warped depth map may be made available to an application before the entire warped depth map has been completely generated. Such a method and system may improve the speed of the overall process and/or reduce memory requirements.

Abstract: Systems and methods to determine a disparity map using row causal scanline optimization stereo matching are presented. A method includes, for each corresponding pixel P between a pair of input stereo images, and for each considered disparity, determining a basic match cost and a match cost for each of a set of given orientations including an east orientation and one or more other orientations, determining an overall match cost for each pixel at each considered disparity based on a sum of the determined match costs for all considered orientations for each pixel and disparity pair, and determining a resulting disparity for each pixel based on a minimum of the determined overall match costs, where a subset of the determined resulting disparities becomes available prior to completion of the input images being read in, and where the resulting disparities for all pixels are determined in a single pass through the input images.

Abstract: Methods, systems, and computer program products for determining, without interrupting a video processing pipeline, whether currently used warping parameters are appropriate for a multi-camera system. New warping parameters may be determined, where these parameters cause the images rectified with these new parameters to have the desired geometric properties. This determination may be made without interrupting the video processing pipeline. Warping parameters may be determined, for example, such that the epipolar lines of the two cameras are horizontal and properly aligned, as defined below, and the metric 3D position of a point observed by both cameras can be determined and is accurate.

Abstract: Methods, systems, and computer program products to warp a depth map into alignment with an image, where the image sensor (e.g., camera) responsible for the image and depth sensor responsible for an original depth map are separated in space. In an embodiment, the warping of the depth map may be started before the original depth map has been completely read. Moreover, data from the warped depth map may be made available to an application before the entire warped depth map has been completely generated. Such a method and system may improve the speed of the overall process and/or reduce memory requirements.

Abstract: Methods, systems, and computer program products to obtain a color image from a color filter array, such as, for example, a color filter array comprising a Bayer pattern. A method of image processing includes, for each pixel location (i,j) and for each color channel in a color image, determining a warped location (i?,j?) in a color filter array, and determining a color value of the color channel at location (i?,j?) in the color filter array. The method may further include storing the determined color value. The determining of the color value may include interpolating the color value of the color channel at location (i?,j?) in the color filter array. In this manner, a single interpolation operation set may be needed and an intermediate image may be avoided, saving memory, reducing processing time, minimizing artifacts, and reducing cost.