Appearance-based parameter optimization for accurate stereo camera calibration

被引：0
|
作者：
Hitoshi Habe
Yasutoshi Nakamura
机构：
[1] Graduate School of Information Science,
[2] Nara Institute of Science and Technology,undefined
[3] Miyakoda Plant R&D Center,undefined
[4] Roland DG Corporation,undefined
来源：
Machine Vision and Applications | 2012年 / 23卷
关键词：
Camera parameter; SAD; Gray code; Image correspondence;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
This paper proposes a method of camera calibration that compares the appearance of two images. Unlike conventional methods that evaluate point-to-point correspondences, ours makes a dense evaluation of the correspondence between two images. This enables us to robustly and efficiently calibrate range finders that are camera based. We explain the main principles and algorithm underlying our method, and we also present the results obtained from simulations and experimentally obtained data.
引用
收藏
页码：313 / 325
页数：12
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