稳健性(进化)
计算机科学
校准
计算机视觉
人工智能
算法
相(物质)
双眼视觉
光学
数学
物理
生物化学
化学
统计
量子力学
基因
作者
Mingwei Shao,Lingkun Zhang,Hailong Ma,Jianjun Chen
出处
期刊:Applied Optics
[Optica Publishing Group]
日期:2024-03-08
卷期号:63 (10): 2621-2621
摘要
When a binocular vision sensor (BVS) is installed in a narrow space, traditional calibration methods are limited as all targets should be placed in more than three different positions. To solve this problem, an on-site calibration method based on the phase-shift algorithm is proposed in our paper. Intrinsic parameters of these two cameras should be first calibrated offline. Series of phase-shift patterns are projected onto any one target with known three-dimensional information to determine the relationship between two cameras. The target utilized in our proposed method can be selected arbitrarily, which is suitable to achieve the on-site calibration of BVS, especially in industrial vibration environments. Experiments are conducted to validate the effectiveness and robustness of our proposed method.
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