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3D Data Processing Visualization and Transmission, International Symposium on (2002)
Padova, Italy
June 19, 2002 to June 21, 2002
ISBN: 0-7695-1521-5
pp: 116
Eugene Borovikov , University of Maryland at College Park
Larry Davis , University of Maryland at College Park
ABSTRACT
We introduce a generic and efficient method for 2D and 3D shape estimation via density fields. Our method models shape as a density map and uses the notion of density to fit a model to a rapidly computed occupancy map of the foreground object. We show how to utilize hierarchical (pyramid-like) object segmentation data to regularize a hierarchical model fitting. With primary focus on estimating 3D shapes of non-rigid articulated objects such as human bodies, we illustrate our approach with examples of efficient model fitting to 3D occupancy maps of human figures. We also discuss a number of extensions of our method to applications involving non-rigid object tracking and movement analysis.
INDEX TERMS
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CITATION

E. Borovikov and L. Davis, "3D Shape Estimation Based on Density Driven Model Fitting," 3D Data Processing Visualization and Transmission, International Symposium on(3DPVT), Padova, Italy, 2002, pp. 116.
doi:10.1109/TDPVT.2002.1024051
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