dc.contributor
Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions
dc.contributor
Universitat Politècnica de Catalunya. GPI - Grup de Processament d'Imatge i Vídeo
dc.contributor.author
Alcoverro Vidal, Marcel
dc.contributor.author
López Méndez, Adolfo
dc.contributor.author
Pardàs Feliu, Montse
dc.contributor.author
Casas Pla, Josep Ramon
dc.identifier
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.
dc.identifier
978-1-4577-0529-8
dc.identifier
https://hdl.handle.net/2117/16172
dc.identifier
10.1109/CVPRW.2011.5981772
dc.description.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.
dc.description.abstract
Peer Reviewed
dc.description.abstract
Postprint (published version)
dc.format
application/pdf
dc.relation
http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5981772
dc.rights
Restricted access - publisher's policy
dc.subject
Àrees temàtiques de la UPC::Informàtica::Sistemes d'informació::Interacció home-màquina
dc.subject
Human locomotion
dc.subject
Mecànica humana
dc.title
Connected Operators on 3D data for human body analysis
dc.type
Conference report
