Linear N-point camera pose determination

被引:419
作者
Quan, L
Lan, ZD
机构
[1] CNRS, GRAVIR, INRIA, ZIRST, F-38330 Montbonnot, France
[2] INRS Telecommun, Quebec City, PQ H3E 1H6, Canada
关键词
pose estimation; space resection; 2D-3D image orientation; exterior orientation determination; perspective-n-point-problem; four points; five points;
D O I
10.1109/34.784291
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The determination of camera position and orientation from known correspondences of 3D reference points and their images is known as pose estimation in computer vision and space resection in photogrammetry. It is well-known that from three corresponding points there are at most four algebraic solutions. Less appears to be known about the cases of four and five corresponding points. In this paper, we propose a family of linear methods that yield a unique solution to 4- and 5-point pose determination for generic reference points. We first review the 3-point algebraic method. Then we present our two-step, 4-point and one-step, 5-point linear algorithms. The 5-point method can also be extended to handle more than five paints. Finally, we demonstrate our methods on both simulated and real images. We show that they do not degenerate for coplanar configurations and even outperform the special linear algorithm for coplanar configurations in practice.
引用
收藏
页码:774 / 780
页数:7
相关论文
共 27 条
[1]  
Brand P, 1995, THESIS U C BERNARD L
[2]  
Char B.W., 1992, MAPLE
[3]  
Chen H. H., 1990, Proceedings. Third International Conference on Computer Vision (Cat. No.90CH2934-8), P374, DOI 10.1109/ICCV.1990.139554
[4]   MODEL-BASED OBJECT POSE IN 25 LINES OF CODE [J].
DEMENTHON, DF ;
DAVIS, LS .
INTERNATIONAL JOURNAL OF COMPUTER VISION, 1995, 15 (1-2) :123-141
[5]   DETERMINATION OF THE ATTITUDE OF 3-D OBJECTS FROM A SINGLE PERSPECTIVE VIEW [J].
DHOME, M ;
RICHETIN, M ;
LAPRESTE, JT ;
RIVES, G .
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 1989, 11 (12) :1265-1278
[6]  
FAUGERAS O, 1987, P INT WORKSH MACH VI
[7]   THE REPRESENTATION, RECOGNITION, AND LOCATING OF 3-D OBJECTS [J].
FAUGERAS, OD ;
HEBERT, M .
INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH, 1986, 5 (03) :27-52
[8]   RANDOM SAMPLE CONSENSUS - A PARADIGM FOR MODEL-FITTING WITH APPLICATIONS TO IMAGE-ANALYSIS AND AUTOMATED CARTOGRAPHY [J].
FISCHLER, MA ;
BOLLES, RC .
COMMUNICATIONS OF THE ACM, 1981, 24 (06) :381-395
[9]   RELIABILITY-ANALYSIS OF PARAMETER-ESTIMATION IN LINEAR-MODELS WITH APPLICATIONS TO MENSURATION PROBLEMS IN COMPUTER VISION [J].
FORSTNER, W .
COMPUTER VISION GRAPHICS AND IMAGE PROCESSING, 1987, 40 (03) :273-310
[10]  
GANAPATHY S, 1984, P INT C ROBOTICS, P130