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Stereovision Measurement Method Based on Neural Network

机译:基于神经网络的立体测量方法

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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与3D信息之间的关系。它既不需要准确的数学模型,也不需要对参数的任何先验知识。提出了一种基于立体声相机的新型空间位置视觉系统。高速度和高精度是该位置测量系统的特征。本文介绍了基于衡量方法的人工神经网络和系统的结构。实验结果证明了该系统对目标位置测量的效率。

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