Multibody grouping is a representative of applying subspace constraints in computer vision tasks. Under linear projection models, feature points of multibody reside in multiple su...
Abstract. We cast the problem of motion segmentation of feature trajectories as linear manifold finding problems and propose a general framework for motion segmentation under affin...
Dimension reduction is popular for learning predictive models in high-dimensional spaces. It can highlight the relevant part of the feature space and avoid the curse of dimensiona...
— In this paper we introduce a class of nonlinear cyclic error-correcting codes, which we call subspace subcodes of Reed–Solomon (SSRS) codes. An SSRS code is a subset of a par...
Masayuki Hattori, Robert J. McEliece, Gustave Solo...
Segmenting arbitrary unions of linear subspaces is an important tool for computer vision tasks such as motion and image segmentation, SfM or object recognition. We segment subspac...