Spectral gradient fields embedding for nonrigid shape matching

A popular approach for finding the correspondence between two nonrigid shapes is to embed their twodimensional surfaces into some common Euclidean space, defining the comparison task as a problem of rigid matching in that space. We propose to extend this line of thought and introduce a novel spectral embedding, which exploits gradient fields for point to pointmatching.With this new embedding, a fully automatic system for finding the correspondence between shapes is introduced. The method is demonstrated to accurately recover the natural maps between nearly isometric surfaces and shown to achieve state-of-the-art results on known shape matching benchmarks. © 2015 Elsevier Inc. All rights reserved.