DocumentCode :
2779237
Title :
A camera calibration technique based on planar geometry feature
Author :
Chen, Aihua ; He, Bingwei
Author_Institution :
Fuzhou Univ., Fuzhou
fYear :
2007
fDate :
4-6 Dec. 2007
Firstpage :
165
Lastpage :
169
Abstract :
In this paper, a new technique for camera calibration based on planar geometry feature is proposed. It only requires three views from the newly designed planar calibration pattern, which is a square tessellated model plane with the black-and-white alternate square grids, then all the five intrinsic parameters can be recovered linearly. Our calibration method needs; neither any geometric measurements on the model plane, nor any matching information between the model plane and the image plane, and avoids the errors caused by the pick-up of irregular geometry feature from the image. It greatly decreases the system setup costs and simplifies image feature extraction works. Hence the calibration process is easily performed for the user. Experimental results on simulated data and real data show the feasibility of the proposed technique.
Keywords :
calibration; cameras; feature extraction; geometry; black-and-white alternate square grids; camera calibration technique; image feature extraction; planar geometry feature; square tessellated model plane; Calibration; Cameras; Computational modeling; Computer simulation; Computer vision; Costs; Feature extraction; Information geometry; Layout; Solid modeling; 3D reconstruction; Camera calibration; Computer vision; Vanishing point;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Mechatronics and Machine Vision in Practice, 2007. M2VIP 2007. 14th International Conference on
Conference_Location :
Xiamen
Print_ISBN :
978-1-4244-1358-4
Electronic_ISBN :
978-1-4244-1358-4
Type :
conf
DOI :
10.1109/MMVIP.2007.4430736
Filename :
4430736
Link To Document :
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