Jianliang Tang
ABSTRACT
In this paper, we make the study on the unique solution for the P3P problem. After partitioning the space into several regions, the parametric function and target function for each region are presented. Under the condition of knowing the approximate relative position between center of perspective and control points, the unique solution can be obtained.
- Fishler, M. A. and Bolles, R. C. Random Sample Consensus: A Paradigm for Model Fitting with Applications to Image Analysis and Automated Cartomated Cartography, Communications of the ACM, 24(6) (1981)381--395. Google Scholar
Digital Library
- Gao X. S., Hou, X. R., Tang, J. L. and Cheng, H. Complete Solution Classification for the Perspective-Three-Point Problem, IEEE Transaction on Pattern Analysis and Machine Intelligence, 25(8)(2003)534--538. Google ScholarDigital Library
- Gao Xiao-Shan, Tang Jianliang, On the Probability of the Number of Solutions for the P4P Problem, Journal of Mathematical Imaging and Vision, 25(2006)79--86. Google ScholarDigital Library
- Tang Jianliang and Chen Wensheng, Solution Classification for the Nonperspective-Three-Point Problem, Journal of Systems Sci&Comp, 19 (2)(2003)219--226.Google Scholar
- Zhou X., Zhu F., A note on unique solution conditions of the P3P problem, Chinese Journal of Computer, 26(12)(2003) 1696--1671.Google Scholar
- Wang T, Wang Yuecao and Yao Chen, Some Discussion on the Conditions of the Unique Solution of P3P problem, International Conference on Mechatronics nd Automation, (2006)205--210Google Scholar
Index Terms
- The unique solution for P3P problem
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