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An Active Stereo Vision System Based on Neural Pathways of Human Binocular Motor System

机译:基于人眼双目运动系统神经通路的主动立体视觉系统

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摘要

An active stereo vision system based on a model of neural pathways of human binocular motor system is proposed. With this model, it is guaranteed that the two cameras of the active stereo vision system can keep their lines of sight fixed on the same target object during smooth pursuit. This feature is very important for active stereo vision systems, since not only 3D reconstruction needs the two cameras have an overlapping field of vision, but also it can facilitate the 3D reconstruction algorithm. To evaluate the effectiveness of the proposed method, some software simulations are done to demonstrate the same target tracking characteristic in a virtual environment apt to mistracking easily. Here, mistracking means two eyes track two different objects separately. Then the proposed method is implemented in our active stereo vision system to perform real tracking task in a laboratory scene where several persons walk self-determining. Before the proposed model is implemented in the system, mistracking occurred frequently. After it is enabled, mistracking never occurred. The result shows that the vision system based on neural pathways of human binocular motor system can reliably avoid mistracking.
机译:提出了一种基于人双眼运动系统神经通路模型的主动立体视觉系统。使用此模型,可以保证主动立体视觉系统的两个摄像头在平稳跟踪过程中可以将其视线固定在同一目标对象上。此功能对于主动式立体视觉系统非常重要,因为不仅3D重建需要两个摄像机具有重叠的视野,而且还可以促进3D重建算法。为了评估所提方法的有效性,进行了一些软件仿真,以证明在易于出错的虚拟环境中相同的目标跟踪特性。在这里,误跟踪意味着两只眼睛分别跟踪两个不同的对象。然后在我们的主动式立体视觉系统中实施该方法,以在几个人行走自决的实验室场景中执行真实的跟踪任务。在系统中实施建议的模型之前,经常会发生跟踪错误。启用后,就不会发生跟踪错误。结果表明,基于人类双目运动系统神经通路的视觉系统可以可靠地避免误跟踪。

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