Title :
A high-precision linear method for camera pose determination
Author_Institution :
Nat. Lab. of Pattern Recognition, Chinese Acad. of Sci., Beijing, China
Abstract :
This paper concerns a high-precision linear method for camera pose determination. The key idea is to replace the algebraic error in the classical linear method with the weighted algebraic error as an approximation of the geometric error. The proposed method provides a linear solution with accuracy closed to that of maximum likelihood (ML) estimation, but more efficient than ML estimation. Based on the EPnP algorithm, we obtain the weighted EPnP (WEPnP) algorithm by using the weighted linear technique. Experiments on simulative data and real images show that the WEPnP algorithm significantly outperforms the EPnP algorithm, what´s more, it even outperforms the Lu´s nonlinear algorithm in the case of small depth ratio.
Keywords :
approximation theory; cameras; geometry; maximum likelihood estimation; pose estimation; EPnP algorithm; approximation; camera pose determination; geometric error; high-precision linear method; maximum likelihood (ML) estimation; weighted EPnP algorithm; weighted algebraic error; Accuracy; Adaptive optics; Aerospace electronics; Cameras; Estimation; Least squares approximation; Noise level;
Conference_Titel :
Mechatronics and Automation (ICMA), 2010 International Conference on
Conference_Location :
Xi´an
Print_ISBN :
978-1-4244-5140-1
Electronic_ISBN :
2152-7431
DOI :
10.1109/ICMA.2010.5588392