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We present an algorithm for estimating dense image correspondences. Our versatile approach lends itself to various tasks typical for video post-processing, including image morphing, optical flow estimation, stereo rectification, disparity/depth reconstruction and baseline adjustment. We incorporate recent advances in feature matching, energy minimization, stereo vision and data clustering into our...
Reliable segmentation and motion tracking algorithms are required to achieve gesture detection and tracking for human-machine interaction. In this paper we present an efficient method for detecting and tracking moving hands in sign language video frames. We make use of the geodesic active region framework in conjunction with new color and motion forces; color information is provided by a skin color...
A novel color video optical flow estimation approach based on vector homogeneity analysis is proposed, in which the optical flow equation (OPE) is established by the color constant model (CCM) rather than the brightness constant model (BCM) which is used in ordinary optical flow estimation approaches. In order to solve concisely, the CCM-based OPE is projected onto the homogeneity direction of a local...
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