A Framework for Non-rigid Matching and Correspondence

Pappu, Suguna, Gold, Steven, Rangarajan, Anand

Neural Information Processing Systems 

Matching feature point sets lies at the core of many approaches to object recognition. We present a framework for nonrigid matching that begins with a skeleton module, affine point matching, and then integrates multiple features to improve correspondence and develops an object representation based on spatial regions to model local transformations.

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