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Stereovision Measurement Method Based on Neural Network

机译:基于神经网络的立体视觉测量方法

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摘要

Artificial neural networks are used to learn the relationships between the image information and the 3D information. It neither requires an accurate mathematical model nor needs any priori knowledge about the parameters. A new space-location vision system based on stereo camera is presented. The high speediness and high precision are the features of this position measurement system. In this paper, the measurement methods based artificial neural networks and the structure of the system are introduced. The experimental results proved the efficiency of this system on position measurement of targets.
机译:人工神经网络用于学习图像信息和3D信息之间的关系。它既不需要精确的数学模型,也不需要任何有关参数的先验知识。提出了一种基于立体摄像机的新型空间定位视觉系统。高速,高精度是该位置测量系统的特点。介绍了基于人工神经网络的测量方法和系统结构。实验结果证明了该系统在目标位置测量中的有效性。

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