caa a22 4500 605540535 CHVBK 20210128100912.0 cr unu---uuuuu 210128e20150301xx s 000 0 eng 10.1007/s00371-014-0925-6 doi (NATIONALLICENCE)springer-10.1007/s00371-014-0925-6 Invariant shape descriptor for 3D video encoding [Elektronische Daten] [Tony Tung, Takashi Matsuyama] This paper presents a novel approach to represent spatio-temporal visual information. We introduce a surface-based shape model whose structure is invariant to surface variations over time to describe 3D dynamic surfaces (e.g., 3D video obtained from multiview video capture). The descriptor is defined as a graph lying on object surfaces and anchored to invariant local features (e.g., surface point extrema). Geodesic consistency-based priors are used as cues within a probabilistic framework to maintain the graph invariant, even though the surfaces undergo non-rigid deformations. Our contribution brings to 3D geometric data a temporally invariant structure that relies only on intrinsic surface properties, and is independent of surface parameterization (i.e., surface mesh connectivity). The proposed descriptor can therefore be used for efficient dynamic surface encoding, through transformation into 2D (geometry) images, as its structure can provide an invariant representation for dynamic 3D mesh models. Various experiments on challenging publicly available datasets are performed to assess invariant property and performance of the descriptor. Springer-Verlag Berlin Heidelberg, 2014 Invariant shape descriptor nationallicence Dynamic surface nationallicence Geometry image nationallicence 3D video nationallicence Reeb graph nationallicence Tung Tony Kyoto University, Graduate School of Informatics, Sakyo, Kyoto, Japan aut Matsuyama Takashi Kyoto University, Graduate School of Informatics, Sakyo, Kyoto, Japan aut The Visual Computer Springer Berlin Heidelberg 31/3(2015-03-01), 311-324 0178-2789 31:3<311 2015 31 371 https://doi.org/10.1007/s00371-014-0925-6 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s00371-014-0925-6 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Tung Tony Kyoto University, Graduate School of Informatics, Sakyo, Kyoto, Japan aut NATIONALLICENCE 700 1- Matsuyama Takashi Kyoto University, Graduate School of Informatics, Sakyo, Kyoto, Japan aut NATIONALLICENCE 773 0- The Visual Computer Springer Berlin Heidelberg 31/3(2015-03-01), 311-324 0178-2789 31:3<311 2015 31 371