A survey of camera self-calibration

被引:96
作者
Hemayed, EE [1 ]
机构
[1] Cairo Univ, Dept Comp Sci & Engn, Fac Engn, Cairo, Egypt
来源
IEEE CONFERENCE ON ADVANCED VIDEO AND SIGNAL BASED SURVEILLANCE, PROCEEDINGS | 2003年
关键词
D O I
10.1109/AVSS.2003.1217942
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper surveys the developments of the last 10 years in the area of camera self-calibration. In order to solve this problem, researches have used the camera intrinsic constraints separately and in conjunction with the camera motion constraints or the scene constraints. Most of the self-calibration algorithms are concerned with unknown but constant intrinsic camera parameters. Recently, camera self-calibration in the case of varying intrinsic camera parameters was also studied. We present the basic theories behind the different self-calibration techniques and discuss the ideas behind most of the self-calibration algorithms.
引用
收藏
页码:351 / 357
页数:7
相关论文
共 60 条
[1]   Self-calibration of rotating and zooming cameras [J].
Agapito, L ;
Hayman, E ;
Reid, I .
INTERNATIONAL JOURNAL OF COMPUTER VISION, 2001, 45 (02) :107-127
[2]  
[Anonymous], P INT C PATT REC
[3]  
[Anonymous], 1913, SITZ BER AKAD WISS W
[4]  
ARMSTRONG M, 1996, LNCS, V1064, P3
[5]   A survey of augmented reality [J].
Azuma, RT .
PRESENCE-VIRTUAL AND AUGMENTED REALITY, 1997, 6 (04) :355-385
[6]  
BONDYFALAT D, 1998, LECT NOTES COMPUTER, V1506, P224
[7]   From projective to Euclidean space under any practical situation, a criticism of self-calibration [J].
Bougnoux, S .
SIXTH INTERNATIONAL CONFERENCE ON COMPUTER VISION, 1998, :790-796
[8]  
de Agapito L., 1999, Proceedings. 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No PR00149), P15, DOI 10.1109/CVPR.1999.786911
[9]  
DEAGAPITO L, 1998, P BRIT MACH VIS C, P105
[10]   Self-calibration of a 1D projective camera and its application to the self-calibration of a 2D projective camera [J].
Faugeras, O ;
Quan, L ;
Strum, P .
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2000, 22 (10) :1179-1185