caa a22 4500 605540349 CHVBK 20210128100911.0 cr unu---uuuuu 210128e20150901xx s 000 0 eng 10.1007/s00371-014-1000-z doi (NATIONALLICENCE)springer-10.1007/s00371-014-1000-z Connectivity-preserving geometry images [Elektronische Daten] [Shaofan Wang, Dehui Kong, Juan Xue, Weijia Zhu, Min Xu, Baocai Yin, Hubert Roth] We propose connectivity-preserving geometry images (CGIMs), which map a triangular mesh onto a rectangular regular array of an image, such that the reconstructed mesh produces no sampling errors, but merely round-off errors over the coordinates of vertices. Using permutation techniques on vertices, CGIMs first obtain a V-matrix whose elements are vertices of the original mesh, which intrinsically preserves the vertex-set and connectivity of the original mesh, and then generate a CGIM array by transforming the Cartesian coordinates of corresponding vertices of the V-matrix into RGB values. Compared with traditional geometry images (GIMs), CGIMs achieve the minimum reconstruction error with a parametrization-free algorithm. We apply CGIMs to lossy compression of meshes. Experimental results show that while CGIMs produce a lower efficiency in both encoding and decoding time and larger resolutions than traditional GIMs, CGIMs perform better peak signal-to-noise ratios and preserve details better than GIMs especially with the multi-stage base color and index map scheme, because CGIMs treat details and non-details of meshes evenly as all elements of the V-matrix. Springer-Verlag Berlin Heidelberg, 2014 GIM nationallicence CGIM nationallicence Remeshing nationallicence Mesh parametrization nationallicence Connectivity-preserving nationallicence Wang Shaofan Beijing Key Laboratory of Multimedia Intelligent Software Technology, College of Metropolitan Transportation, Beijing University of Technology, 100124, Beijing, China aut Kong Dehui Beijing Key Laboratory of Multimedia Intelligent Software Technology, College of Metropolitan Transportation, Beijing University of Technology, 100124, Beijing, China aut Xue Juan Beijing Key Laboratory of Multimedia Intelligent Software Technology, College of Metropolitan Transportation, Beijing University of Technology, 100124, Beijing, China aut Zhu Weijia Beijing Key Laboratory of Multimedia Intelligent Software Technology, College of Metropolitan Transportation, Beijing University of Technology, 100124, Beijing, China aut Xu Min School of Mathematical Sciences, Dalian University of Technology, 116085, Dalian, China aut Yin Baocai Beijing Key Laboratory of Multimedia Intelligent Software Technology, College of Metropolitan Transportation, Beijing University of Technology, 100124, Beijing, China aut Roth Hubert Institute of Automatic Control Engineering, University of Siegen, 57068, Siegen, Germany aut The Visual Computer Springer Berlin Heidelberg 31/9(2015-09-01), 1163-1178 0178-2789 31:9<1163 2015 31 371 https://doi.org/10.1007/s00371-014-1000-z 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/s00371-014-1000-z text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Wang Shaofan Beijing Key Laboratory of Multimedia Intelligent Software Technology, College of Metropolitan Transportation, Beijing University of Technology, 100124, Beijing, China aut NATIONALLICENCE 700 1- Kong Dehui Beijing Key Laboratory of Multimedia Intelligent Software Technology, College of Metropolitan Transportation, Beijing University of Technology, 100124, Beijing, China aut NATIONALLICENCE 700 1- Xue Juan Beijing Key Laboratory of Multimedia Intelligent Software Technology, College of Metropolitan Transportation, Beijing University of Technology, 100124, Beijing, China aut NATIONALLICENCE 700 1- Zhu Weijia Beijing Key Laboratory of Multimedia Intelligent Software Technology, College of Metropolitan Transportation, Beijing University of Technology, 100124, Beijing, China aut NATIONALLICENCE 700 1- Xu Min School of Mathematical Sciences, Dalian University of Technology, 116085, Dalian, China aut NATIONALLICENCE 700 1- Yin Baocai Beijing Key Laboratory of Multimedia Intelligent Software Technology, College of Metropolitan Transportation, Beijing University of Technology, 100124, Beijing, China aut NATIONALLICENCE 700 1- Roth Hubert Institute of Automatic Control Engineering, University of Siegen, 57068, Siegen, Germany aut NATIONALLICENCE 773 0- The Visual Computer Springer Berlin Heidelberg 31/9(2015-09-01), 1163-1178 0178-2789 31:9<1163 2015 31 371