@conference {cAlcoverro11a,
	title = {Connected Operators on 3D data for human body analysis},
	booktitle = {2011 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops},
	year = {2011},
	pages = {9{\textendash}14},
	abstract = {<p>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.</p>},
	isbn = {978-1-4577-0529-8},
	doi = {10.1109/CVPRW.2011.5981772},
	url = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5981772},
	author = {Alcoverro, M. and L{\'o}pez-M{\'e}ndez, A. and M. Pard{\`a}s and Casas, J.}
}
