DocumentCode :
2932539
Title :
A Euclidean-geodesic shape distribution for retrieval of time-varying mesh sequences
Author :
Yamasaki, Toshihiko ; Aizawa, Kiyoharu
Author_Institution :
Dept. of Inf. & Commun. Eng., Univ. of Tokyo, Tokyo, Japan
fYear :
2009
fDate :
June 28 2009-July 3 2009
Firstpage :
846
Lastpage :
849
Abstract :
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.
Keywords :
computational geometry; differential geometry; image motion analysis; image retrieval; image sequences; solid modelling; 3D model; Euclidean-geodesic shape distribution algorithm; global shape feature; image motion retrieval; multiple camera; optimal weighting; real-world object; time-varying 3D mesh sequence retrieval; topological change; Algorithm design and analysis; Cameras; Deformable models; Feature extraction; Humans; Information retrieval; Mesh generation; Motion analysis; Shape; Topology; 3D; Time varying meshes; feature vectors; retrieval; shape distributions;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Multimedia and Expo, 2009. ICME 2009. IEEE International Conference on
Conference_Location :
New York, NY
ISSN :
1945-7871
Print_ISBN :
978-1-4244-4290-4
Electronic_ISBN :
1945-7871
Type :
conf
DOI :
10.1109/ICME.2009.5202627
Filename :
5202627
Link To Document :
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