A geometric approach for the analysis and computation of the intrinsic camera parameters

被引:6
作者
Bayro-Corrochano, E
Rosenhahn, B
机构
[1] Ctr Invest Matemat AC, Guanajuato 36000, Mexico
[2] Univ Kiel, Inst Comp Sci, D-24105 Kiel, Germany
关键词
computer vision; projective geometry; Clifford algebra; geometric algebra; calibration; Kruppa's equations; essential and fundamental matrices;
D O I
10.1016/S0031-3203(00)00182-5
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The authors of this paper adopted the projected characteristics of the absolute conic in terms of the Pascal's theorem to propose an entirely new camera calibration method based on purely geometric thoughts. The use of this theorem in the geometric algebra framework allows us to compute a projective invariant using the conics of only two images which expressed using brackets helps us to set enough equations to solve the calibration problem. The method requires restricted controlled camera movements. Our method is less sensitive to noise as the Kruppa's-equation-based methods. Experiments with simulated and real images confirm that the performance of the algorithm is reliable. (C) 2001 Pattern Recognition Society. Published by Elsevier Science Ltd. All rights reserved.
引用
收藏
页码:169 / 186
页数:18
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