2026-04-17T22:48:14Zhttps://recercat.cat/oai/request

oai:recercat.cat:2117/161722026-02-02T05:57:20Zcom_2072_1033col_2072_452950

Connected Operators on 3D data for human body analysis Alcoverro Vidal, Marcel López Méndez, Adolfo Pardàs Feliu, Montse Casas Pla, Josep Ramon Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions Universitat Politècnica de Catalunya. GPI - Grup de Processament d'Imatge i Vídeo Àrees temàtiques de la UPC::Informàtica::Sistemes d'informació::Interacció home-màquina Human locomotion Mecànica humana 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. Peer Reviewed Postprint (published version) 2011 Conference report 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. 978-1-4577-0529-8 https://hdl.handle.net/2117/16172 10.1109/CVPRW.2011.5981772 eng http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5981772 Restricted access - publisher's policy 6 p. application/pdf