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Connected operators on 3D data for human body analysis

Autor
Alcoverro, M.; Lopez, A.; Pardas, M.; Casas, J.
Tipus d'activitat
Presentació treball a congrés
Nom de l'edició
2011 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops
Any de l'edició
2011
Data de presentació
2011
Llibre d'actes
2011 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops
Pàgina inicial
9
Pàgina final
14
DOI
https://doi.org/10.1109/CVPRW.2011.5981772 Obrir en finestra nova
Repositori
http://hdl.handle.net/2117/16172 Obrir en finestra nova
URL
http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5981772 Obrir en finestra nova
Resum
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...
Citació
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.
Paraules clau
Filtering theory, Image motion analysis, Image representation
Grup de recerca
GPI - Grup de Processament d'Imatge i Vídeo
IDEAI-UPC - Intelligent Data Science and Artificial Intelligence Research Center

Participants