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首页> 外文期刊>Journal of information and computational science >A 3D Reconstruction Algorithm Using Zoomed Images
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A 3D Reconstruction Algorithm Using Zoomed Images

机译:使用缩放图像的3D重建算法

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摘要

A method for shape recovery from zoomed images taken by a stationary camera is proposed in this paper. The imaging model with variant focal lengths is analyzed, and a nonlinear optimization algorithm is applied to solve the focal length parameters and the shape up to a scale factor. To work out this factor, an additional Lambertian reflectance constraint is imposed. Simulated tests have proved the preliminary feasibility of this 3D reconstruction algorithm.
机译:本文提出了一种从固定相机拍摄的变焦图像中恢复形状的方法。分析了具有可变焦距的成像模型,并应用非线性优化算法求解焦距参数和形状直至比例因子。为了解决这个因素,施加了额外的朗伯反射率约束。仿真测试证明了该3D重建算法的初步可行性。

著录项

  • 来源
    《Journal of information and computational science 》 |2010年第10期| p.2130-2137| 共8页
  • 作者单位

    Department of Information Engineering, North China University of Water Resources and Electric Power, Zhengzhou 450011, China;

    Department of Information Engineering, North China University of Water Resources and Electric Power, Zhengzhou 450011, China;

    Department of Information Engineering, North China University of Water Resources and Electric Power, Zhengzhou 450011, China;

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

    shape recovery; imaging model; lambertian reflection;

    机译:形状恢复;成像模型朗伯反射;

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