Title :
Automatic recalibration of the camera pose parameters in a vision system
Author_Institution :
Sch. of Inf. Eng., Nanjing Univ. of Financial & Econ., Nanjing, China
Abstract :
In this work, we present a robust method for automatic recalibration camera pose via homography. And assuming that the intrinsic parameters of the camera are known from initial calibration, then we show that its translation vector and rotation matrix via Homography. In this method, computational cost is low compared with traditional methods. Some simulations and real data experiments show the accuracy and robustness of the proposed method to be improved over those of the standard method.
Keywords :
computer vision; matrix algebra; vectors; automatic recalibration; camera pose parameter; homography; rotation matrix; translation vector; vision system; Calibration; Cameras; Eigenvalues and eigenfunctions; Equations; Machine vision; Symmetric matrices; Transmission line matrix methods; Camera Pose; Homographic matrix; Recalibration;
Conference_Titel :
Image and Signal Processing (CISP), 2010 3rd International Congress on
Conference_Location :
Yantai
Print_ISBN :
978-1-4244-6513-2
DOI :
10.1109/CISP.2010.5648006