Template Deformation-Based 3-D Reconstruction of Full Human Body Scans From Low-Cost Depth Cameras | |
Liu, Zhenbao1; Huang, Jinxin1; Bu, Shuhui1; Han, Junwei1; Tang, Xiaojun1; Li, Xuelong2 | |
刊名 | ieee transactions on cybernetics |
2017-03-01 | |
卷号 | 47期号:3页码:695-708 |
关键词 | 3-D reconstruction deformation optimization depth cameras full human body template deformation |
ISSN号 | 2168-2267 |
产权排序 | 2 |
英文摘要 | full human body shape scans provide valuable data for a variety of applications including anthropometric surveying, clothing design, human-factors engineering, health, and entertainment. however, the high price, large volume, and difficulty of operating professional 3-d scanners preclude their use in home entertainment. recently, portable low-cost red green blue-depth cameras such as the kinect have become popular for computer vision tasks. however, the infrared mechanism of this type of camera leads to noisy and incomplete depth images. we construct a stereo full-body scanning environment composed of multiple depth cameras and propose a novel registration algorithm. our algorithm determines a segment constrained correspondence for two neighboring views, integrating them using rigid transformation. furthermore, it aligns all of the views based on uniform error distribution. the generated 3-d mesh model is typically sparse, noisy, and even with holes, which makes it lose surface details. to address this, we introduce a geometric and topological fitting prior in the form of a professionally designed high-resolution template model. we formulate a template deformation optimization problem to fit the high-resolution model to the low-quality scan. its solution overcomes the obstacles posed by different poses, varying body details, and surface noise. the entire process is free of body and template markers, fully automatic, and achieves satisfactory reconstruction results. |
WOS标题词 | science & technology ; technology |
类目[WOS] | computer science, artificial intelligence ; computer science, cybernetics |
研究领域[WOS] | computer science |
关键词[WOS] | object retrieval ; multiple views ; kinect sensor ; model ; shape ; registration ; algorithm ; people ; sets |
收录类别 | SCI |
语种 | 英语 |
WOS记录号 | WOS:000396395400013 |
内容类型 | 期刊论文 |
源URL | [http://ir.opt.ac.cn/handle/181661/28722] |
专题 | 西安光学精密机械研究所_光学影像学习与分析中心 |
作者单位 | 1.Northwestern Polytech Univ, Xian 710072, Peoples R China 2.Chinese Acad Sci, Xian Inst Opt & Precis Mech, State Key Lab Transient Opt & Photon, Ctr OPT IMagery Anal & Learning, Xian 710119, Peoples R China |
推荐引用方式 GB/T 7714 | Liu, Zhenbao,Huang, Jinxin,Bu, Shuhui,et al. Template Deformation-Based 3-D Reconstruction of Full Human Body Scans From Low-Cost Depth Cameras[J]. ieee transactions on cybernetics,2017,47(3):695-708. |
APA | Liu, Zhenbao,Huang, Jinxin,Bu, Shuhui,Han, Junwei,Tang, Xiaojun,&Li, Xuelong.(2017).Template Deformation-Based 3-D Reconstruction of Full Human Body Scans From Low-Cost Depth Cameras.ieee transactions on cybernetics,47(3),695-708. |
MLA | Liu, Zhenbao,et al."Template Deformation-Based 3-D Reconstruction of Full Human Body Scans From Low-Cost Depth Cameras".ieee transactions on cybernetics 47.3(2017):695-708. |
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