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基于可见光单图像三维结构恢复方法综述

3D Structure Reconstruction Methods Based on Visible Light Single Image: A Survey

  • 摘要: 基于可见光单图像的三维重构方法一直是计算机视觉领域的研究热点, 该文从光照物体的材质和结构差异, 以及成像过程中信息损失等因素着手, 对基于光照模型、基于几何图元以及基于深度学习策略的三维重建方法进行了分类和概述, 并分析讨论各类方法的优缺点以及未来的研究方向。

     

    Abstract: Single image based three dimensional structure reconstruction is a classical and important topic in computer vision domain. This survey focus on image acquisition, such as surface material, surface shape and the information loss of target, and classified the single image based 3D reconstruction methods into three categories, i.e. illumination model, geometric element distribution, and deep learning. By analyzing and concluding the advantage and disadvantage of different methods, potential research direction is also suggested.

     

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