Proceedings of the 27th annual conference on Computer graphics and interactive techniques
Topology matching for fully automatic similarity estimation of 3D shapes
Proceedings of the 28th annual conference on Computer graphics and interactive techniques
ACM Transactions on Graphics (TOG)
A Survey of Content Based 3D Shape Retrieval Methods
SMI '04 Proceedings of the Shape Modeling International 2004
Surface Capture for Performance-Based Animation
IEEE Computer Graphics and Applications
Motion segmentation and retrieval for 3D video based on modified shape distribution
EURASIP Journal on Applied Signal Processing
Articulated mesh animation from multi-view silhouettes
ACM SIGGRAPH 2008 papers
Performance capture from sparse multi-view video
ACM SIGGRAPH 2008 papers
ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
Content-based retrieval for human motion data
Journal of Visual Communication and Image Representation
Real-time dynamic 3-D object shape reconstruction and high-fidelity texture mapping for 3-D video
IEEE Transactions on Circuits and Systems for Video Technology
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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.