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3DPVT
2002
IEEE

3D Shape Estimation Based on Density Driven Model Fitting

13 years 4 months ago
3D Shape Estimation Based on Density Driven Model Fitting
We introduce a generic and efficient method for 2D and 3D shape estimation via density Þelds. Our method models shape as a density map and uses the notion of density to Þt 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 Þtting. 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 Þtting to 3D occupancy maps of human Þgures. We also discuss a number of extensions of our method to applications involving non-rigid object tracking and movement analysis.
Eugene Borovikov, Larry S. Davis
Added 14 Jul 2010
Updated 14 Jul 2010
Type Conference
Year 2002
Where 3DPVT
Authors Eugene Borovikov, Larry S. Davis
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