Connectivity-preserving geometry images
| LEADER | caa a22 4500 | ||
|---|---|---|---|
| 001 | 605540349 | ||
| 003 | CHVBK | ||
| 005 | 20210128100911.0 | ||
| 007 | cr unu---uuuuu | ||
| 008 | 210128e20150901xx s 000 0 eng | ||
| 024 | 7 | 0 | |a 10.1007/s00371-014-1000-z |2 doi |
| 035 | |a (NATIONALLICENCE)springer-10.1007/s00371-014-1000-z | ||
| 245 | 0 | 0 | |a Connectivity-preserving geometry images |h [Elektronische Daten] |c [Shaofan Wang, Dehui Kong, Juan Xue, Weijia Zhu, Min Xu, Baocai Yin, Hubert Roth] |
| 520 | 3 | |a 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. | |
| 540 | |a Springer-Verlag Berlin Heidelberg, 2014 | ||
| 690 | 7 | |a GIM |2 nationallicence | |
| 690 | 7 | |a CGIM |2 nationallicence | |
| 690 | 7 | |a Remeshing |2 nationallicence | |
| 690 | 7 | |a Mesh parametrization |2 nationallicence | |
| 690 | 7 | |a Connectivity-preserving |2 nationallicence | |
| 700 | 1 | |a Wang |D Shaofan |u Beijing Key Laboratory of Multimedia Intelligent Software Technology, College of Metropolitan Transportation, Beijing University of Technology, 100124, Beijing, China |4 aut | |
| 700 | 1 | |a Kong |D Dehui |u Beijing Key Laboratory of Multimedia Intelligent Software Technology, College of Metropolitan Transportation, Beijing University of Technology, 100124, Beijing, China |4 aut | |
| 700 | 1 | |a Xue |D Juan |u Beijing Key Laboratory of Multimedia Intelligent Software Technology, College of Metropolitan Transportation, Beijing University of Technology, 100124, Beijing, China |4 aut | |
| 700 | 1 | |a Zhu |D Weijia |u Beijing Key Laboratory of Multimedia Intelligent Software Technology, College of Metropolitan Transportation, Beijing University of Technology, 100124, Beijing, China |4 aut | |
| 700 | 1 | |a Xu |D Min |u School of Mathematical Sciences, Dalian University of Technology, 116085, Dalian, China |4 aut | |
| 700 | 1 | |a Yin |D Baocai |u Beijing Key Laboratory of Multimedia Intelligent Software Technology, College of Metropolitan Transportation, Beijing University of Technology, 100124, Beijing, China |4 aut | |
| 700 | 1 | |a Roth |D Hubert |u Institute of Automatic Control Engineering, University of Siegen, 57068, Siegen, Germany |4 aut | |
| 773 | 0 | |t The Visual Computer |d Springer Berlin Heidelberg |g 31/9(2015-09-01), 1163-1178 |x 0178-2789 |q 31:9<1163 |1 2015 |2 31 |o 371 | |
| 856 | 4 | 0 | |u https://doi.org/10.1007/s00371-014-1000-z |q text/html |z Onlinezugriff via DOI |
| 898 | |a BK010053 |b XK010053 |c XK010000 | ||
| 900 | 7 | |a Metadata rights reserved |b Springer special CC-BY-NC licence |2 nationallicence | |
| 908 | |D 1 |a research-article |2 jats | ||
| 949 | |B NATIONALLICENCE |F NATIONALLICENCE |b NL-springer | ||
| 950 | |B NATIONALLICENCE |P 856 |E 40 |u https://doi.org/10.1007/s00371-014-1000-z |q text/html |z Onlinezugriff via DOI | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Wang |D Shaofan |u Beijing Key Laboratory of Multimedia Intelligent Software Technology, College of Metropolitan Transportation, Beijing University of Technology, 100124, Beijing, China |4 aut | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Kong |D Dehui |u Beijing Key Laboratory of Multimedia Intelligent Software Technology, College of Metropolitan Transportation, Beijing University of Technology, 100124, Beijing, China |4 aut | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Xue |D Juan |u Beijing Key Laboratory of Multimedia Intelligent Software Technology, College of Metropolitan Transportation, Beijing University of Technology, 100124, Beijing, China |4 aut | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Zhu |D Weijia |u Beijing Key Laboratory of Multimedia Intelligent Software Technology, College of Metropolitan Transportation, Beijing University of Technology, 100124, Beijing, China |4 aut | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Xu |D Min |u School of Mathematical Sciences, Dalian University of Technology, 116085, Dalian, China |4 aut | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Yin |D Baocai |u Beijing Key Laboratory of Multimedia Intelligent Software Technology, College of Metropolitan Transportation, Beijing University of Technology, 100124, Beijing, China |4 aut | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Roth |D Hubert |u Institute of Automatic Control Engineering, University of Siegen, 57068, Siegen, Germany |4 aut | ||
| 950 | |B NATIONALLICENCE |P 773 |E 0- |t The Visual Computer |d Springer Berlin Heidelberg |g 31/9(2015-09-01), 1163-1178 |x 0178-2789 |q 31:9<1163 |1 2015 |2 31 |o 371 | ||