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首页> 外文期刊>Network Daily News >Studies from Kookmin University Yield New Information about Neural Networks (Single Image Based Three-dimensional Scene Reconstruction Using Semantic and Geometric Priors)
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Studies from Kookmin University Yield New Information about Neural Networks (Single Image Based Three-dimensional Scene Reconstruction Using Semantic and Geometric Priors)

机译:韩国国民大学的研究带来新的神经网络(单一图像的信息基于三维场景重建使用语义和几何先验)

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摘要

By a News Reporter-Staff News Editor at Network Daily News – Investigators publish new report on Networks - Neural Networks. According to news originating from Seoul, South Korea, by NewsRx correspondents, research stated, “Single image based three-dimensional (3D) scene reconstruction has become an important research topic for computer vision and computer graphics fields to provide machine vision systems with near human visual perception. Previous approaches for 3D scene reconstruction and depth estimation from single images required many factors including motion parallax, stereoscopic parallels, and various monocular depth cues adopted from known geometric priors.”
机译:由一个新闻记者在网络新闻编辑每日新闻,调查人员发布的新报告网络——神经网络。由NewsRx来自首尔,韩国记者,研究指出:“单一的形象基于三维(3 d)重建已经成为一个重要的研究课题计算机视觉和计算机图形学领域提供机器视觉系统与附近的人视觉感知。场景重建和深度估计需要很多因素包括单一图像运动视差,立体的相似之处从已知的各种单眼深度线索了几何先知先觉。”

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