Reparability measurement of vision sensor in active stereo visual system
Reparability measurement of vision sensor in active stereo visual system
复制标题
主动立体视觉系统中视觉传感器的可修复性测量
DOI：
10.1016/j.measurement.2013.12.008
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发表时间：
2014-03
期刊：
影响因子：
5.6
通讯作者：
Wu Bin
中科院分区：
文献类型：
--
作者：
Xue Ting;Wu Bin
主动视觉检测取得了长足的发展。由于现场条件的复杂性，主动立体视觉检测系统中的双目立体视觉传感器在光照环境较差的情况下很难获取理想的图像对，或者由于两个相机之一损坏而无法正常工作。针对实际问题，提出一种主动立体视觉检测系统中视觉传感器的可修复性方法。基于结构条纹投影仪和两个工业相机的传统测量平台，建立了可修复性数学模型，融合立体视觉和结构光视觉的测量模式，基于可修复性测量模型来检查特征点。同时，基于图像与光平面之间的单应性，建立了结构光视觉的数学模型和标定方法。该方法大大提高了测量数据的稳定性和可靠性。实验证明该方法是有效的，在实际工业应用中能够很好地完成可修复性任务，实现特征点的不间断检测。
The active visual inspection has made giant strides in development. Due to the complexity of field conditions, the binocular stereo vision sensor in active stereo visual inspection system is difficult to acquire the ideal image pair under the poor illumination environment, or cannot work normally because one of two cameras is damaged. To solve the practical problem, a reparability method of the vision sensor in active stereo visual inspection system is proposed. Based on the traditional measurement platform with a structured stripe projector and two industrial cameras, a reparability mathematical model is established, which merges the measurement mode of the stereo vision and the structured light vision to inspect feature points based on the reparability measurement model. Meanwhile, a mathematical model and calibration method of the structured light vision are developed based on the homography between the image and light plane. The method greatly improved the stability and reliability of measurement data. It is proven by experiment that the method is valid, which can accomplish reparability tasks commendably and achieve uninterrupted inspection of feature points in the actual industrial applications.
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影响因子：
5
作者：
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DOI：
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