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首页> 外文会议>Robotics and Automation, 2005. ICRA 2005. Proceedings of the 2005 IEEE International Conference on >Machine Vision System to Induct Binocular Wide-Angle Foveated Information into Both the Human and Computers - Feature Generation Algorithm based on DFT for Binocular Fixation -
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Machine Vision System to Induct Binocular Wide-Angle Foveated Information into Both the Human and Computers - Feature Generation Algorithm based on DFT for Binocular Fixation -

机译：机器视觉系统将双目广角平移信息引入人和计算机中-基于DFT的双目固视特征生成算法-

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摘要

This paper introduces a machine vision system, which is suitable for cooperative works between the human and computer. This system provides images inputted from a stereo camera head not only to the processor but also to the user’s sight as binocular wide-angle foveated (WAF) information, thus it is applicable for Virtual Reality (VR) systems such as tele-existence or training experts. The stereo camera head plays a role to get required input images foveated by special wide-angle optics under camera view direction control and 3D head mount display (HMD) displays fused 3D images to the user. Moreover, an analog video signal processing device much inspired from a structure of the human visual system realizes a unique way to provide WAF information to plural processors and the user. Therefore, this developed vision system is also much expected to be applicable for the human brain and vision research, because the design concept is to mimic the human visual system. Further, an algorithm to generate features using Discrete Fourier Transform (DFT) for binocular fixation in order to provide well-fused 3D images to 3D HMD is proposed. This paper examines influences of applying this algorithm to space variant images such as WAF images, based on experimental results.
机译：本文介绍了一种机器视觉系统，适用于人与计算机之间的协同工作。该系统不仅将立体摄像机头输入的图像作为双眼广角偏向（WAF）信息提供给处理器，而且还提供给用户的视线，因此适用于远程存在或训练等虚拟现实（VR）系统专家。立体摄像头的作用是在摄像头视图方向控制下获得所需的输入图像，这些输入图像由特殊的广角光学器件控制，并且3D头盔显示器（HMD）向用户显示融合的3D图像。此外，受人类视觉系统的结构启发很大的模拟视频信号处理设备实现了一种向多个处理器和用户提供WAF信息的独特方式。因此，由于设计概念是模仿人类视觉系统，因此这种发达的视觉系统也非常适用于人脑和视觉研究。此外，提出了一种算法，该算法使用离散傅立叶变换（DFT）生成用于双眼固定的特征，以便向3D HMD提供融合良好的3D图像。本文基于实验结果，研究了将该算法应用于空间变异图像（例如WAF图像）的影响。

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