Pose estimation for multiple camera systems
Journal
Proceedings - International Conference on Pattern Recognition
Journal Volume
3
Pages
262-265
Date Issued
2004
Author(s)
Chang W.-Y
Abstract
Pose estimation of a multiple camera system (MCS) is usually achieved by either solving the PnP problem or finding the least-squared-error rigid transformation between two 3D point sets. These methods employ partial information of an MCS, in which only a small number of features in one or two cameras can be utilized. To overcome this limitation, we propose a new pose estimation method for an MCS that uses complete information of an MCS. In our method, we treat the MCS as a single generalized camera [7][14] and formulate this problem in a least-squared manner. An iterative algorithm is proposed for solving the least-squared problem. From the experimental results, it shows that the proposed method is accurate for pose estimation of MCS.
Other Subjects
Least-square-error (LSE); Least-squared problem; Multiple camera system (MCS); Rigid transformations; Algorithms; Image analysis; Iterative methods; Mathematical models; Parameter estimation; Photographic films; Problem solving; Cameras
Type
conference paper