A Euclidean-geodesic shape distribution for retrieval of time-varying mesh sequences
This paper proposes a Euclidean-geodesic shape distribution for the more accurate retrieval of time-varying meshes, which are 3D mesh sequences of real-world objects generated by multiple cameras. The Euclidean-geodesic shape distribution derives from a combination of the modified shape distribution algorithm, which analyzes the global shape features of 3D models, and the geodesic shape distribution algorithm, which is used to investigate topological changes. The optimal weighting for the two algorithms is investigated experimentally. Experimental results show that the performance for similar motion retrieval is better than that of conventional algorithms, being improved by 2% on average and by 5% in the best case.