2026-04-17T06:17:32Zhttps://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 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 http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5981772 Restricted access - publisher's policy