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Saliency-dependent adaptive remeshing for cloth simulation
Shi, Min1; Ming, Hou1; Liu, Yaning1; Mao, Tianlu2; Zhu, Dengming2; Wang, Zhaoqi2; Zhang, Fan3
2020-08-10
发表期刊TEXTILE RESEARCH JOURNAL
ISSN0040-5175
页码16
摘要We propose a method for simulating cloth with meshes dynamically refined according to visual saliency. It is a common belief that it is preferable for the regions of an image being viewed to have more details than others. For a certain scene, a low-resolution cloth mesh is first simulated and rendered into images in the preview stage. Pixel saliency values of these images are predicted according to a pre-trained saliency prediction model. These pixel saliencies are then translated to a vertex saliency of the corresponding meshes. Vertex saliency, together with camera positions and a number of geometric features of surfaces, guides the dynamic remeshing for simulation in the production stage. To build the saliency prediction model, images extracted from various videos of clothing scenes were used as training data. Participants were asked to watch these videos and their eye motion was tracked. A saliency map is generated from the eye motion data for each extracted video frame image. Image feature vectors and map labels are sent to a Support Vector Machine for training to obtain a saliency prediction model. Our method greatly reduces the number of vertices and faces in the clothing model, and generates a speed-up of more than 3 x for scenes with single dressed character, while for multi-character scenes the speed-up is increased to more than 5x. The proposed technique can work together with view-dependency for offline simulation.
关键词cloth simulation visual saliency machine learning eye-tracking technology
DOI10.1177/0040517520944248
收录类别SCI
语种英语
WOS研究方向Materials Science
WOS类目Materials Science, Textiles
WOS记录号WOS:000558732900001
出版者SAGE PUBLICATIONS LTD
引用统计
被引频次:2[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://119.78.100.204/handle/2XEOYT63/15812
专题中国科学院计算技术研究所期刊论文_英文
通讯作者Mao, Tianlu
作者单位1.North China Elect Power Univ, Beijing, Peoples R China
2.Chinese Acad Sci, Inst Comp Technol, Beijing, Peoples R China
3.Beijing Inst Fash Technol, Beijing, Peoples R China
推荐引用方式
GB/T 7714
Shi, Min,Ming, Hou,Liu, Yaning,et al. Saliency-dependent adaptive remeshing for cloth simulation[J]. TEXTILE RESEARCH JOURNAL,2020:16.
APA Shi, Min.,Ming, Hou.,Liu, Yaning.,Mao, Tianlu.,Zhu, Dengming.,...&Zhang, Fan.(2020).Saliency-dependent adaptive remeshing for cloth simulation.TEXTILE RESEARCH JOURNAL,16.
MLA Shi, Min,et al."Saliency-dependent adaptive remeshing for cloth simulation".TEXTILE RESEARCH JOURNAL (2020):16.
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