Another way of looking at monocular circle pose estimation

It is well known that there are generally two possible sets of pose parameters from one calibrated perspective view of a circle. What is the relation between these two possible sets? Where does this ambiguity arise from? In which case can this ambiguity be resolved? Considering these questions, we suggest a novel viewpoint toward circle pose estimation from a single view. Different from existing methods on the basis of analytical geometry, we originally develop the projective equation of a circle, based on which a closed form solution is developed and a brand new geometric explanation for the ambiguity of solutions is presented. Experimental results verify the correctness of our proposed method.

[1]  Leejay Wu,et al.  3D Interpretation of Conics and Or-thogonality , 1993 .

[2]  J. G. Semple,et al.  Algebraic Projective Geometry , 1953 .

[3]  Bernhard P. Wrobel,et al.  Multiple View Geometry in Computer Vision , 2001 .

[4]  Yiu Cheung Shiu,et al.  3D location of circular and spherical features by monocular model-based vision , 1989, Conference Proceedings., IEEE International Conference on Systems, Man and Cybernetics.

[5]  Beno Benhabib,et al.  Three-dimensional location estimation of circular features for machine vision , 1992, IEEE Trans. Robotics Autom..

[6]  Pierre Gurdjos,et al.  Euclidean Structure from N geq 2 Parallel Circles: Theory and Algorithms , 2006, ECCV.

[7]  Hongbin Zha,et al.  Geometric Interpretations of the Relation between the Image of the Absolute Conic and Sphere Images , 2006, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[8]  Zhengyou Zhang,et al.  A Flexible New Technique for Camera Calibration , 2000, IEEE Trans. Pattern Anal. Mach. Intell..