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A Novel Mirrored Binocular Vision Sensor Based on Spherical Catadioptric Mirrors

机译:一种基于球面射频镜的新型镜像双眼视觉传感器

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摘要

The binocular vision sensor composed of dual cameras is difficult to meet the requirements of synchronous image acquisition in dynamic high-speed measurement, and mirrored binocular vision sensor (MBVS) composed of single camera and catadioptric components have become popular among machine vision applications. Existing mirrored binocular vision sensors mostly comprise planar mirrors, which has the disadvantage of a small field-of-view (FOV). To extend the measurement range of the MBVS, we proposed a novel MBVS based on spherical catadioptric mirrors. The novel MBVS consists of a single camera and double spherical mirrors. The mathematical formula of the FOV of the MBVS is deduced, and the imaging light path is simulated. Then, the structural parameters of the sensor are calculated and a MBVS with a single camera and double spherical mirrors are designed. In order to preliminarily realize the distortion correction of spherical reflection imaging, the mathematical model of the MBVS is constructed. The accuracy of the calibration before and after spherical distortion correction is compared. Experimental results demonstrate the feasibility of the designed MBVS, which can extend the measurement range of the sensor.
机译:由双摄像机组成的双目视觉传感器难以满足动态高速测量中同步图像采集的要求,并且由单个摄像头和分发器组成的镜像双眼视觉传感器(MBV)在机器视觉应用中变得流行。现有镜像双目视觉传感器主要包括平面镜,其具有小视野(FOV)的缺点。为了延长MBV的测量范围,我们提出了一种基于球面昏暗的镜子的新型MBV。新型MBV由单个相机和双球形镜子组成。推导出MBV的FOV的数学公式,并模拟成像光路。然后,计算传感器的结构参数,并且设计了具有单个相机和双球形镜的MBV。为了预先实现球面反射成像的失真校正,构建了MBV的数学模型。比较球形失真校正之前和之后的校准的准确性。实验结果表明,设计的MBV的可行性,可以延长传感器的测量范围。

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