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Connected operators on 3D data for human body analysis

Author
Alcoverro, M.; Lopez, A.; Pardas, M.; Casas, J.
Type of activity
Presentation of work at congresses
Name of edition
2011 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops
Date of publication
2011
Presentation's date
2011
Book of congress proceedings
2011 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops
First page
9
Last page
14
DOI
https://doi.org/10.1109/CVPRW.2011.5981772 Open in new window
Repository
http://hdl.handle.net/2117/16172 Open in new window
URL
http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5981772 Open in new window
Abstract
This paper presents a novel method for filtering and extraction of human body features from 3D data, either from multi-view images or range sensors. The proposed algorithm consists in processing the geodesic distances on a 3D surface representing the human body in order to find prominent maxima representing salient points of the human body. We introduce a 3D surface graph representation and filtering strategies to enhance robustness to noise and artifacts present in this kind of data. We conduct...
Citation
Alcoverro, M. [et al.]. Connected Operators on 3D data for human body analysis. A: IEEE Conference on Computer Vision and Pattern Recognition. "2011 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops". 2011, p. 9-14.
Keywords
Filtering theory, Image motion analysis, Image representation
Group of research
GPI - Image and Video Processing Group
IDEAI-UPC - Intelligent Data Science and Artificial Intelligence Research Center

Participants