Search Results for author: Stephan Eisenschenk

Found 1 papers, 0 papers with code

A Riemannian Framework for Matching Point Clouds Represented by the Schrodinger Distance Transform

no code implementations CVPR 2014 Yan Deng, Anand Rangarajan, Stephan Eisenschenk, Baba C. Vemuri

In this paper, we use the well known Riemannian framework never before used for point cloud matching, and present a novel matching algorithm.

set matching

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