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A sparse representation method for determining the optimal illumination directions in Photometric Stereo

机译:确定光度立体中最佳照明方向的稀疏表示方法

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摘要

The analysis of surface and texture details with the help of changes in illumination direction is a key task in 3D shape reconstruction either based on Photometric Stereo, Shape from Shading or Structured Light. This paper presents a novel approach for estimating the optimal illumination directions for the accurate calculation of the surface normals, while minimising the presence of shadows and the reconstructed albedo error. The method regards a sparse representation of the illumination arrangement and estimates the light directions using I_1 optimisation. The Lambertian model is considered and the theoretical development is demonstrated with experimental results.
机译:借助光照方向的变化来分析表面和纹理细节是基于光度立体,阴影形状或结构光的3D形状重建中的关键任务。本文提出了一种新颖的方法,用于估计最佳照明方向,以精确计算表面法线,同时最大程度地减少阴影的存在和重建的反照率误差。该方法考虑照明布置的稀疏表示,并使用I_1优化估计光的方向。考虑了朗伯模型,并通过实验结果证明了理论发展。

著录项

  • 来源
    《Signal processing》 |2013年第11期|3027-3038|共12页
  • 作者单位

    Faculty of Computing, Information Systems and Mathematics, Kingston University London, Penrhyn Road, Kingston-upon Thames,Surrey KT1 2EE, UK;

    Communications and Signal Processing Research Group, Department of Electrical and Electronic Engineering, Imperial College,South Kensington Campus, London SW7 2AZ, UK;

    Faculty of Computing, Information Systems and Mathematics, Kingston University London, Penrhyn Road, Kingston-upon Thames,Surrey KT1 2EE, UK;

    Communications and Signal Processing Research Group, Department of Electrical and Electronic Engineering, Imperial College,South Kensington Campus, London SW7 2AZ, UK;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    L_1; Photometric stereo; 3D imaging; Face reconstruction;

    机译:L_1;光度立体;3D成像;人脸重建;

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