Fast Approximate Energy Minimization via Graph Cuts
IEEE Transactions on Pattern Analysis and Machine Intelligence
ACM Transactions on Graphics (TOG)
Efficient content-based retrieval of motion capture data
ACM SIGGRAPH 2005 Papers
Motion segmentation and retrieval for 3D video based on modified shape distribution
EURASIP Journal on Applied Signal Processing
Performance capture from sparse multi-view video
ACM SIGGRAPH 2008 papers
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
A euclidean-geodesic shape distribution for retrieval of time-varying mesh sequences
ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
Motion Sequence-Based Human Abnormality Detection Scheme for Smart Spaces
Wireless Personal Communications: An International Journal
Pedestrian attribute analysis using a top-view camera in a public space
MMM'12 Proceedings of the 18th international conference on Advances in Multimedia Modeling
Hierarchical querying scheme of human motions for smart home environment
Engineering Applications of Artificial Intelligence
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This paper presents a retrieval system for Time-Varying Mesh (TVM) and motion capture data using 2D video queries. Previous approaches have used other TVM and motion capture data as queries and the cost for query generation was a significant issue. Instead, the proposed system uses 2D video queries, which can be easily captured by a single camera, enabling end users to retrieve 3D motion sequences such as TVM and motion capture data easily and interactively. We introduce the P-type Fourier descriptor, which is a feature of 2D contour images. TVM and computer graphics sequences rendered from motion capture data are silhouetted rendering from multiple viewpoints. Feature vectors for TVM and motion capture data are generated by applying the P-type Fourier descriptor to these silhouetted images. Experimental results using four TVM sequences and motion capture data demonstrated an average retrieval accuracy of 88% in terms of nearest neighbors.