Detecting and handling unreliable points for camera parameter estimation
文献类型:期刊论文
作者 | Wu, Yihong1,2![]() ![]() |
刊名 | INTERNATIONAL JOURNAL OF COMPUTER VISION
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出版日期 | 2008-08-01 |
卷号 | 79期号:2页码:209-223 |
关键词 | bracket algebra invariant camera calibration |
英文摘要 | The popularly used DLT method sometimes fails to give reliable camera parameter estimation. It is therefore important to detect the unreliability and provide the corresponding solutions. Based on a complete framework of invariance for six points, we construct two evaluation functions to detect the unreliability. The two evaluation functions do not involve any computations for the camera projective matrix or optical center and thus are efficient to perform the detection. Then, the guidelines corresponding to the different detection results are presented. In particular, a filtering RANSAC method to remove the detected unreliable points is provided. The filtering RANSAC proves to be successful in removing the unreliable points even if these points are of a large proportion. |
WOS标题词 | Science & Technology ; Technology |
类目[WOS] | Computer Science, Artificial Intelligence |
研究领域[WOS] | Computer Science |
关键词[WOS] | RECONSTRUCTION ; INVARIANTS |
收录类别 | SCI |
语种 | 英语 |
WOS记录号 | WOS:000256009700006 |
公开日期 | 2015-12-24 |
源URL | [http://ir.ia.ac.cn/handle/173211/9708] ![]() |
专题 | 自动化研究所_09年以前成果 |
作者单位 | 1.City Univ Hong Kong, Dept Manufacturing Engn & Engn Management, Kowloon, Hong Kong, Peoples R China 2.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100080, Peoples R China |
推荐引用方式 GB/T 7714 | Wu, Yihong,Li, Youfu,Hu, Zhanyi. Detecting and handling unreliable points for camera parameter estimation[J]. INTERNATIONAL JOURNAL OF COMPUTER VISION,2008,79(2):209-223. |
APA | Wu, Yihong,Li, Youfu,&Hu, Zhanyi.(2008).Detecting and handling unreliable points for camera parameter estimation.INTERNATIONAL JOURNAL OF COMPUTER VISION,79(2),209-223. |
MLA | Wu, Yihong,et al."Detecting and handling unreliable points for camera parameter estimation".INTERNATIONAL JOURNAL OF COMPUTER VISION 79.2(2008):209-223. |
入库方式: OAI收割
来源:自动化研究所
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