First International Symposium on 3D Data Processing Visualization and Transmission (3DPVT'02) Posture Recognition nd Segmentation from 3D Human Body Scans Padova, Italy June 19-June 21 ISBN: 0-7695-1521-5
This paper addresses the problem of segmenting 3D scan data of human body (HB) into sets corresponding to the HB parts, where the posture of the body is unknown. The approach consists in recognizing first the posture, then exploiting the information retrieved from the posture recognition into the segmentation process. For the recognition, the wavelet transform coefficients (WTC) are suggested as new 3D shape descriptors. Then Segmentation technique integrating the model posture information is presented. The segmentation results are illustrated on human body scans of different postures.
Citation:
Naoufel Werghi, Yijun Xiao, "Posture Recognition nd Segmentation from 3D Human Body Scans," 3dpvt, pp.636, First International Symposium on 3D Data Processing Visualization and Transmission (3DPVT'02), 2002 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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