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Modeling and parameters analysis of vision measuring sensor

机译:视觉测量传感器的建模与参数分析

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摘要

In order to improve the measurement precision for visual measuring system, coordinate measuring mathematical models of two typical vision sensor systems of a line-structured light visual sensor and a symmetrical binocular visual sensor are investigated with the trigonometric method. The relationship characteristics between measuring errors and structure parameters of the line structured light vision sensor and symmetric binocular stereo vision sensor are detailed analyzed based on error analysis theory in this paper. Through analyzing the relations between the coordinate measuring models and the structural parameters of visual sensor systems, the effect of the visual sensor structural parameters on the sensor measurement accuracy is probed. The error analysis explicitly illustrates the dependence of the visual sensor accuracy on the sensor structural parameters. Lastly, On the basis of the comprehensive consideration for designing an ideal visual sensor, the optimum rules of structural parameters are proposed, and the general design principles and methods of the two typical sensors are derived.
机译:为了提高视觉测量系统的测量精度,采用三角法研究了线结构光视觉传感器和对称双目视觉传感器两个典型视觉传感器系统的坐标测量数学模型。本文基于误差分析理论,对线结构光视觉传感器和对称双目立体视觉传感器的测量误差与结构参数之间的关系特性进行了详细分析。通过分析坐标测量模型与视觉传感器系统结构参数之间的关系,探讨了视觉传感器结构参数对传感器测量精度的影响。误差分析明确说明了视觉传感器精度对传感器结构参数的依赖性。最后,在综合考虑设计理想视觉传感器的基础上,提出了结构参数的最佳规则,并推导了两种典型传感器的一般设计原理和方法。

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