DocumentCode :
2721456
Title :
Connected operators on 3D data for human body analysis
Author :
Alcoverro, Marcel ; López-Méndez, Adolfo ; Pardàs, Montse ; Casas, Josep R.
fYear :
2011
fDate :
20-25 June 2011
Firstpage :
9
Lastpage :
14
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 several experiments on different datasets involving 2 multi-view setups and 2 range data sensors: Kinect and Mesa SR4000. In all of them, the proposed algorithm shows a promising performance towards human body analysis with 3D data.
Keywords :
filtering theory; image motion analysis; image representation; 3D data; 3D surface graph representation; Mesa SR4000; geodesic distances; human body features; multiview images; multiview setups; range sensors; Extremities; Feature extraction; Sensors; Surface reconstruction; Surface topography; Surface treatment; Three dimensional displays;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision and Pattern Recognition Workshops (CVPRW), 2011 IEEE Computer Society Conference on
Conference_Location :
Colorado Springs, CO
ISSN :
2160-7508
Print_ISBN :
978-1-4577-0529-8
Type :
conf
DOI :
10.1109/CVPRW.2011.5981772
Filename :
5981772
Link To Document :
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