Detecting critical configuration of six points

CASIA OpenIR > 09年以前成果

	Detecting critical configuration of six points
	Wu, YH; Hu, ZY; Narayanan, PJ; Nayar, SK; Shum, HY
发表期刊	COMPUTER VISION - ACCV 2006, PT II
	2006
卷号	3852 页码:447-456
文章类型	Article
摘要	When space points and camera optical center lie on a twisted cubic, no matter how many corresponding pairs there are from space points to their image points, camera projection matrix cannot be uniquely determined, in other words, the configuration of camera and space points in this case is critical for camera parameter estimation. In practice, it is important to detect; this critical configuration before the estimated camera parameters are used. In this work, a new method is introduced to detect this critical configuration, which is based on an effective criterion function constructed from an invariant relationship between six space points and their corresponding image points. The advantage of this method is that no explicit computation on camera projection matrix or optical center is needed. Simulations show it is quite robust and stable against noise. Experiments on real data, show the criterion function can be faithfully trusted for camera parameter estimation.
WOS标题词	Science & Technology ; Technology
关键词[WOS]	PROJECTIVE RECONSTRUCTION ; INVARIANTS ; IMAGES
收录类别	ISTP ; SCI
语种	英语
WOS研究方向	Computer Science
WOS类目	Computer Science, Artificial Intelligence ; Computer Science, Theory & Methods
WOS记录号	WOS:000235773200045
引用统计	被引频次：1[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/173211/9240
专题	09年以前成果
作者单位	Chinese Acad Sci, Natl Lab Pattern Recognit, Inst Automat, Beijing 100080, Peoples R China
推荐引用方式 GB/T 7714	Wu, YH,Hu, ZY,Narayanan, PJ,et al. Detecting critical configuration of six points[J]. COMPUTER VISION - ACCV 2006, PT II,2006,3852:447-456.
APA	Wu, YH,Hu, ZY,Narayanan, PJ,Nayar, SK,&Shum, HY.(2006).Detecting critical configuration of six points.COMPUTER VISION - ACCV 2006, PT II,3852,447-456.
MLA	Wu, YH,et al."Detecting critical configuration of six points".COMPUTER VISION - ACCV 2006, PT II 3852(2006):447-456.