Piecewise Image Registration in the Presence of Multiple Large Motions
Bhat, P.; Zheng, K.C.; Snavely, N.; Agarwala, A.; Agrawala, M.; Cohen, M.F.; Curless, B.
Computer Vision and Pattern Recognition, 2006 IEEE Computer Society Conference on
Volume 2, Issue , 2006 Page(s): 2491 - 2497
Digital Object Identifier   10.1109/CVPR.2006.225
Summary: We present a technique for computing a dense pixel correspondence between two images of a scene containing multiple large, rigid motions. We model each motion with either a homography (for planar objects) or a fundamental matrix. The various motions in the scene are first extracted by clustering an initial sparse set of correspondences between feature points; we then perform a multi-label graph cut optimization which assigns each pixel to an independent motion and computes its disparity with respect to that motion. We demonstrate our technique on several example scenes and compare our results with previous approaches.

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