Abstract:
Method for iteratively calibrating a disparity estimation process generating a disparity estimation map relating to a 3D image which consists of at least a right and a left image, the method comprising: estimating a left-to-right image disparity map of a 3D image in horizontal and vertical direction, estimating a right-to-left image disparity map of the 3D image in horizontal and vertical direction, determining a misalignment value between the left and right images on the basis of the disparity maps, feeding back the misalignment value as to be considered in the next estimating the disparity maps of a next 3D image, and repeating the method for the next 3D image to iteratively calibrate the disparity estimation process.
Abstract:
A method for stabilizing a first sequence of digital image frames is provided including determining a dominant motion vector of a dominant motion layer of said sequence; determining a first part of the dominant motion vector representative of an intended motion in said sequence; determining a second part of the dominant motion vector representative of an unintended motion in said sequence; and generating a second sequence from the first sequence based on the second part. A corresponding image stabilization unit is provided as well.
Abstract:
A video coding apparatus for encoding a compressive sensing signal has a processor. The processor obtains a compressive sensing sampling matrix; and captures the compressive sensing signal representing image data based on the compressive sensing sampling matrix, wherein the compressive sensing sampling matrix is non-uniform varied.