Topologically Robust 3D Shape Matching via Gradual Deflation and Inflation

30 Apr 2017Asli GenctavYusuf SahilliogluSibel Tari

Despite being vastly ignored in the literature, coping with topological noise is an issue of increasing importance, especially as a consequence of the increasing number and diversity of 3D polygonal models that are captured by devices of different qualities or synthesized by algorithms of different stabilities. One approach for matching 3D shapes under topological noise is to replace the topology-sensitive geodesic distance with distances that are less sensitive to topological changes... (read more)

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