DocumentCode :
3191586
Title :
Automatic Recalibration of the Relative Pose in a Structured Light System
Author :
Li, Y.F. ; Zhang, B.
Author_Institution :
Dept. of Manuf. Eng. & Eng. Manage., City Univ. of Hong Kong
fYear :
2006
fDate :
9-15 Oct. 2006
Firstpage :
5702
Lastpage :
5707
Abstract :
In this paper, we present a new method for automatic recalibration of the relative pose in a structured light system by a single image of planar surface. Assuming that the intrinsic parameters of the camera and the projector are known from initial calibration, we show that their relative orientation and position can be determined automatically from four projection correspondences in an image and a projection plane. In this method, two steps are taken to solve the pose problem. The advantages are that not only the analytic solutions can be obtained easily but also an over constraint system is constructed in each step to increase the robustness. Some computer simulations and real data experiments have been carried out to validate our method
Keywords :
calibration; image reconstruction; image sensors; pose estimation; robot vision; automatic recalibration; constraint system; orientation projection; position projection; relative pose; structured light system; Calibration; Cameras; Image reconstruction; Layout; Machine vision; Mobile robots; Navigation; Robot vision systems; Robustness; Transmission line matrix methods; Eigenvalue Decomposition; Plane-Based Homography; Relative Pose; Structured Light System;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Robots and Systems, 2006 IEEE/RSJ International Conference on
Conference_Location :
Beijing
Print_ISBN :
1-4244-0258-1
Electronic_ISBN :
1-4244-0259-X
Type :
conf
DOI :
10.1109/IROS.2006.282373
Filename :
4059341
Link To Document :
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