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We have analyzed two different registration algorithms, which produce a dense correspondence between faces.
The result is a shape model consisting of the mean model and the major modes of variation with a dense correspondence map between individual shapes.
To compute the average face, we must first align the shape models in their original (not parametric) space, based on the computed dense correspondence.
Since no well-defined correspondence between surfaces of different topologies is theoretically possible, one must perform a topological correction of each facial model before computing a dense correspondence.
Therefore our treatment of dense stereo is reduced to the problem of finding the dense correspondence between pixels in both left and right images.
After computing dense correspondence, we can model all skulls and faces as the formation of the reference vectors by the point-to-point correspondence.
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In [17], the sparse correspondences are found by feature points and then the dense correspondences are obtained from these sparse matches using the propagation and seed growing methods.
Recently in [19], authors proposed a SIFT flow algorithm for finding the dense correspondences by matching the SIFT descriptors while preserving spatial discontinuities using MRF regularization.
Novel view synthesis based on dense stereo correspondence is an active research problem.
For registration of two images, computing a dense pixel correspondence between them is required.
The Bloomsbury scene was famously hectic and vital, generating dense clouds of correspondence, terrible feuds and heady collaborations.
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Justyna Jupowicz-Kozak
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