caa a22 4500 605541280 CHVBK 20210128100915.0 cr unu---uuuuu 210128e20150201xx s 000 0 eng 10.1007/s00371-014-0919-4 doi (NATIONALLICENCE)springer-10.1007/s00371-014-0919-4 Content-aware model resizing with symmetry-preservation [Elektronische Daten] [Chunxia Xiao, Liqiang Jin, Yongwei Nie, Renfang Wang, Hanqiu Sun, Kwan-Liu Ma] This paper presents a new model resizing approach intended for preservation of important geometric content and geometric symmetries of the model to be resized. We first extract high-level symmetric regions and other low-level salient regions from the input model. Then, we map the extracted low-level and high-level geometry information to a protective tetrahedral mesh around the model, and we define a symmetry-preserving and content-aware resizing function on the tetrahedral mesh using 3D mean value coordinates space deformation. By interpolating within the resized tetrahedral mesh, we obtain the final resizing results for the embedded model. Interactively defined user constraints are also incorporated into our framework to produce more desirable results. Our results show that the resized models preserve the geometric features of important regions in addition to the symmetric aspects of the original model, and eliminate the undesirable distortion in other less important regions. Springer-Verlag Berlin Heidelberg, 2014 Model resizing nationallicence Symmetry-preservation nationallicence Geometry saliency nationallicence Protective mesh nationallicence Space deformation nationallicence Xiao Chunxia Computer School, Wuhan University, Wuhan, China aut Jin Liqiang Computer School, Wuhan University, Wuhan, China aut Nie Yongwei Computer School, Wuhan University, Wuhan, China aut Wang Renfang College of Computer Science and Information Technology, Zhejiang Wanli University, Ningbo, China aut Sun Hanqiu Department of Computer Science and Engineering, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong aut Ma Kwan-Liu Department of Computer Science, University of California, Davis, 95616-8562, Davis, CA, USA aut The Visual Computer Springer Berlin Heidelberg 31/2(2015-02-01), 155-167 0178-2789 31:2<155 2015 31 371 https://doi.org/10.1007/s00371-014-0919-4 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/s00371-014-0919-4 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Xiao Chunxia Computer School, Wuhan University, Wuhan, China aut NATIONALLICENCE 700 1- Jin Liqiang Computer School, Wuhan University, Wuhan, China aut NATIONALLICENCE 700 1- Nie Yongwei Computer School, Wuhan University, Wuhan, China aut NATIONALLICENCE 700 1- Wang Renfang College of Computer Science and Information Technology, Zhejiang Wanli University, Ningbo, China aut NATIONALLICENCE 700 1- Sun Hanqiu Department of Computer Science and Engineering, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong aut NATIONALLICENCE 700 1- Ma Kwan-Liu Department of Computer Science, University of California, Davis, 95616-8562, Davis, CA, USA aut NATIONALLICENCE 773 0- The Visual Computer Springer Berlin Heidelberg 31/2(2015-02-01), 155-167 0178-2789 31:2<155 2015 31 371