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Third International Symposium on 3D Data Processing, Visualization, and Transmission (3DPVT'06)   pp. 750-757
Automatic Locating of Anthropometric Landmarks on 3D Human Models
Zouhour Ben Azouz, Institute for Information Technology, National Research of Canada
Chang Shu, Institute for Information Technology, National Research of Canada
Anja Mantel, Stuttgart University of Applied Sciences, Germany

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DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/3DPVT.2006.34
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Abstract
We present an algorithm for automatic locating of anthropometric landmarks on 3D human scans. Our method is based on learning landmark characteristics and the spatial relationships between them from a set of human scans where the landmarks are identified. The learned information is formulated by a pairwise Markov network. Each node of the network is a random variable corresponding to the position of a landmark. The edges of the network represent correlations between the positions of landmark pairs. Probabilistic inference is then performed over the Markov network to locate the landmarks. We evaluated the algorithm on 30 human models with different shapes. The results showed good accuracy for most of the landmarks.
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Citation:  Zouhour Ben Azouz, Chang Shu, Anja Mantel, "Automatic Locating of Anthropometric Landmarks on 3D Human Models," 3dpvt, pp. 750-757,  Third International Symposium on 3D Data Processing, Visualization, and Transmission (3DPVT'06),  2006