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Lecture Notes in Computer Science
We investigate the problem of finding the correspondence from multiple images, which is a challenging combinatorial problem. In this work, we propose a robust solution by exploiting the priors that the rank of the ordered patterns from a set of linearly correlated images should be lower than that of the disordered patterns, and the errors among the reordered patterns are sparse. This problem is equivalent to find a set of optimal partial permutation matrices for the disordered patterns suchdoi:10.1007/978-3-642-33715-4_24 fatcat:rstmkbixubgljepryqpulqtpya