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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的流入人员和计算机特征生成算法归类为基于DFT的双目固定 -

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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，适用于人类和计算机之间的合作工作。该系统提供从立体声相机头输入的图像，不仅可以到处理器，而且还向用户的视线作为双目广角（WAF）信息，因此适用于远程存在或培训等虚拟现实（VR）系统专家。立体声摄像机头在相机视图方向控制下，立体声摄像机头部扮演了所需的输入图像，通过特殊的广角光学器件进行了专用广角光学器件，3D头部安装显示器（HMD）向用户显示融合的3D图像。此外，从人类视觉系统的结构激发的模拟视频信号处理设备实现了向多个处理器和用户提供WAF信息的独特方式。因此，这种发达的视觉系统也有望适用于人类大脑和视觉研究，因为设计理念是模仿人类视觉系统。此外，提出了一种利用用于双目固定的离散傅里叶变换（DFT）来生成特征的算法，以便为3D HMD提供融合的3D图像。本文根据实验结果检查将该算法应用该算法将该算法应用于WAF图像等空间变体图像的影响。

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