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The present paper analyzes some previously unexplored aspects of motion estimation that are fundamental both for discrete block matching as well as for differential ‘optical flow’ approaches à la Lucas-Kanade. It aims at providing a complete estimation-theoretic approach that makes the assumptions about noisy observations of samples from a continuous signal of a certain class explicit. It turns out...
Fast search motion estimation algorithms when compared to full search motion estimation algorithms often converge to a local minimum, providing a momentous reduction in computational cost. However, the motion vectors measurement process in fast search algorithms is subject to noise and matching errors. Researchers have investigated the use of mathematical tools used for stochastic estimation from...
Many motion compensation algorithms are based on block matching. The quality of the block correlation depends on the validity of the brightness constancy assumption and the assumption of fixed translational motion within a block. These assumptions are invalid in areas with texture changes, noise, lighting changes, and rapid deformations. Smoothness priors should enforce stable estimates in these regions...
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