A fast approach to deformable surface 3D tracking
Wang, Chenhao1; Shen, Shuhan2; Liu, Yuncai1
发表期刊PATTERN RECOGNITION
2011-12-01
卷号44期号:12页码:2915-2925
文章类型Article
摘要Deformable surface 3D tracking is a severely under-constrained problem and great efforts have been made to solve it. A recent state-of-the-art approach solves this problem by formulating it as a second order cone programming (SOCP) problem. However, one drawback of this approach is that it is time-consuming. In this paper, we propose an effective method for 3D deformable surface tracking. First, we formulate the deformable surface tracking problem as a linear programming (LP) problem. Then, we solve the LP problem with an algorithm which converges superlinearly rather than bisection algorithm whose convergence speed is linear. Our experimental studies on synthetic and real data have demonstrated the proposed method can not only reliably recover 3D structures of surfaces but also run faster than the state-of-the-art method. (C) 2011 Elsevier Ltd. All rights reserved.
关键词Deformable Surface 3d Reconstruction Linear Programming Convex Optimization
WOS标题词Science & Technology ; Technology
关键词[WOS]GENERALIZED FRACTIONAL PROGRAMS ; ACTIVE APPEARANCE MODELS ; ALGORITHM ; MOTION ; SHAPE
收录类别SCI
语种英语
WOS研究方向Computer Science ; Engineering
WOS类目Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic
WOS记录号WOS:000292947000009
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://ir.ia.ac.cn/handle/173211/2950
专题多模态人工智能系统全国重点实验室_机器人视觉
作者单位1.Shanghai Jiao Tong Univ, Inst Image Proc & Pattern Recognit, Shanghai, Peoples R China
2.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100864, Peoples R China
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Wang, Chenhao,Shen, Shuhan,Liu, Yuncai. A fast approach to deformable surface 3D tracking[J]. PATTERN RECOGNITION,2011,44(12):2915-2925.
APA Wang, Chenhao,Shen, Shuhan,&Liu, Yuncai.(2011).A fast approach to deformable surface 3D tracking.PATTERN RECOGNITION,44(12),2915-2925.
MLA Wang, Chenhao,et al."A fast approach to deformable surface 3D tracking".PATTERN RECOGNITION 44.12(2011):2915-2925.
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