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Motion Segmentation with Missing Data using PowerFactorization and GPCA

Vidal, Rene; Hartley, Richard


We consider the problem of segmenting multiple rigid motions from point correspondences in multiple affine views. We cast this problem as a subspace clustering problem in which the motion of each object lives in a subspace of dimension two, three or four. Unlike previous work, we do not restrict the motion subspaces to be four-dimensional or linearly independent. Instead, our approach deals gracefully with all the spectrum of possible affine motions: from two-dimensional and partially dependent...[Show more]

CollectionsANU Research Publications
Date published: 2004
Type: Conference paper
Source: Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition


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