KMS Of Academy of mathematics and systems sciences, CAS
Computation of the probability on the number of solution for the P3P problem | |
Tang, Jianliang; Gao, Xiao-Shan; Chen, Wensheng | |
2006 | |
发表期刊 | INTELLIGENT COMPUTING IN SIGNAL PROCESSING AND PATTERN RECOGNITION |
ISSN | 0170-8643 |
卷号 | 345页码:191-200 |
摘要 | The perspective-n-point (PnP) problem is to find the position and orientation of a camera with respect to a scene object from n correspondence points and is a widely used technique for pose determination in the computer vision community. This paper studies the multi-solution phenomenon for the perspective 3-point (P3P) problem. For the P3P problem, we give: 1) an algorithm to compute the number of solutions based on a Monte-Carlo type method; 2) the probabilities for the P3P problem to have zero, one, two, three and four solutions using the algorithm. |
语种 | 英语 |
WOS研究方向 | Automation & Control Systems ; Computer Science ; Engineering |
WOS类目 | Automation & Control Systems ; Computer Science, Artificial Intelligence ; Computer Science, Information Systems ; Engineering, Electrical & Electronic |
WOS记录号 | WOS:000240385300020 |
出版者 | SPRINGER-VERLAG BERLIN |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.amss.ac.cn/handle/2S8OKBNM/2456 |
专题 | 系统科学研究所 |
通讯作者 | Tang, Jianliang |
作者单位 | 1.Shenzhen Univ, Coll Sci, Shenzhen 518060, Peoples R China 2.Chinese Acad Sci, Key Lab Math Mechanizat, Beijing 100080, Peoples R China |
推荐引用方式 GB/T 7714 | Tang, Jianliang,Gao, Xiao-Shan,Chen, Wensheng. Computation of the probability on the number of solution for the P3P problem[J]. INTELLIGENT COMPUTING IN SIGNAL PROCESSING AND PATTERN RECOGNITION,2006,345:191-200. |
APA | Tang, Jianliang,Gao, Xiao-Shan,&Chen, Wensheng.(2006).Computation of the probability on the number of solution for the P3P problem.INTELLIGENT COMPUTING IN SIGNAL PROCESSING AND PATTERN RECOGNITION,345,191-200. |
MLA | Tang, Jianliang,et al."Computation of the probability on the number of solution for the P3P problem".INTELLIGENT COMPUTING IN SIGNAL PROCESSING AND PATTERN RECOGNITION 345(2006):191-200. |
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