Title :
Parameter estimation in the three-point perspective projection problem in computer vision
Author_Institution :
Dept. of Electr. Eng., Missouri Univ., Columbia, MO, USA
Abstract :
A mathematical solution to parameter estimation in the 3-D perspective projection problem is presented. In this paper, the Bairstow method and the direct solution method, which can solve the roots of a fourth order polynomial equation, are used to evaluate the three-point perspective pose estimation problem. When the known triangle size increases, the error will also increase. To avoid this numerical error, the round-off error generated from the computation process needs to be reduced. Most of the roundoff errors came from the cosines law which was used to obtain the perspective projection points´ polynomial equation. Here, the authors developed a new method to solve this problem directly without using sinusoidal functions. The evaluation results and advantages are included in a summary
Keywords :
computer vision; parameter estimation; polynomials; roundoff errors; 3-D perspective projection problem; Bairstow method; computer vision; direct solution method; fourth order polynomial equation; parameter estimation; round-off error; three-point perspective pose estimation problem; triangle size; Computational geometry; Computer vision; Equations; Humans; Image reconstruction; Machine vision; Parameter estimation; Polynomials; Position measurement; Roundoff errors;
Conference_Titel :
Industrial Electronics, 1997. ISIE '97., Proceedings of the IEEE International Symposium on
Conference_Location :
Guimaraes
Print_ISBN :
0-7803-3936-3
DOI :
10.1109/ISIE.1997.648887