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A robust method to recognize critical configuration for camera calibration
Wu, Yihong; Hu, Zhanyi
AbstractWhen space points and camera optical center lie on a twisted cubic, no matter how many pairs there are used from the space points to their image points, camera parameters cannot be determined uniquely. This configuration is critical for camera calibration. We set up invariant relationship between six space points and their image points for the critical configuration. Then based on the relationship, an algorithm to recognize the critical configuration of at least six pairs of space and image points is proposed by using a constructed criterion function, where no any explicit computation on camera projective matrix or optical center is needed. Experiments show the efficiency of the proposed method. (c) 2006 Elsevier B.V. All rights reserved.
KeywordCamera Calibration Invariant Critical Configuration
WOS HeadingsScience & Technology ; Technology ; Physical Sciences
Indexed BySCI
WOS Research AreaComputer Science ; Engineering ; Optics
WOS SubjectComputer Science, Artificial Intelligence ; Computer Science, Software Engineering ; Computer Science, Theory & Methods ; Engineering, Electrical & Electronic ; Optics
WOS IDWOS:000242142600005
Citation statistics
Cited Times:2[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
AffiliationChinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100080, Peoples R China
Recommended Citation
GB/T 7714
Wu, Yihong,Hu, Zhanyi. A robust method to recognize critical configuration for camera calibration[J]. IMAGE AND VISION COMPUTING,2006,24(12):1313-1318.
APA Wu, Yihong,&Hu, Zhanyi.(2006).A robust method to recognize critical configuration for camera calibration.IMAGE AND VISION COMPUTING,24(12),1313-1318.
MLA Wu, Yihong,et al."A robust method to recognize critical configuration for camera calibration".IMAGE AND VISION COMPUTING 24.12(2006):1313-1318.
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