期刊
PATTERN RECOGNITION
卷 35, 期 7, 页码 1617-1635出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/S0031-3203(01)00126-1
关键词
camera calibration; lens distortion; parameter estimation; optimization; camera modelling; accuracy evaluation; 3D reconstruction; computer vision
Camera calibrating is a crucial problem for further metric scene measurement. Many techniques and some studies concerning calibration have been presented in the last few years. However, it is still difficult to go into details of a determined calibrating technique and compare its accuracy with respect to other methods. Principally, this problem emerges from the lack of a standardized notation and the existence of various methods of accuracy evaluation to choose from. This article presents a detailed review of some of the most used calibrating techniques in which the principal idea has been to present them all with the same notation. Furthermore, the techniques surveyed have been tested and their accuracy evaluated. Comparative results are shown and discussed in the article. Moreover, code and results are available in internet. (C) 2002 Pattern Recognition Society. Published by Elsevier Science Ltd. All rights reserved.
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