By Topic

3D shape estimation based on density driven model fitting

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Borovikov, E. ; Dept. of Comput. Sci., Maryland Univ., College Park, MD, USA ; Davis, L.

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 nonrigid 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 nonrigid object tracking and movement analysis.

Published in:

3D Data Processing Visualization and Transmission, 2002. Proceedings. First International Symposium on

Date of Conference: