文档介绍：
从明暗恢复形状方法的原理分析及常用解
法综述
朱良勇1,苏红旗1,杨彬2,晏磊2**
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(1. 中国矿业大学(北京)机电与信息工程学院,北京 100083;
2. 北京大学空间信息集成与 3S 工程应用北京市重点实验室,北京 100871)
摘要:从明暗恢复形状(Shape from shading,简称 SFS)是计算机视觉中三维形貌恢复问题的
关键技术。设计了基于单幅图像恢复三维形貌的算法,其核心思想是根据单幅图像的灰度信
息进行亮度分析和转换,利用倾角和偏角计算表面点法矢,进而得到表面点高度值。文章通
过对 SFS 基本原理的分析和几种常见的解法的简述与性能评价,说明了 SFS 算法还需要在
现有的研究基础上,对过去的 SFS 算法的实现方法进行有效的改进,进一步提高 SFS 算法
的实用性。
关键词:图像处理;从明暗恢复形状;辐照量;辐射量
中图分类号:TP391
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Review: on Principle Analysis and Typical Algorithms of
Shape from Shading
Zhu Liangyong1, Su Hongqi1, Yang Bin2, Yan Lei2
(1. University of Mining & Technology, Beijing 100083;
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2. Beijing Key Lab of Spatial Information Integration and Its 3S Applications, Peking University,
Beijing 100871)
Abstract: Shape from shading(SFS) is the critical technique to 3D shape recovery puter v
-ision. A algorithms of 3D shape recovery based on single image is developed. The key technique
is to make use of shading value to process lum inance analysis and conversion, thus to calculate
the surface normal by slant and tilt, finally to get the height value. In this paper, the basic principle
of SFS is analyzed, and the solution of four typical algorithms is described in simple terms, and
the performance is evaluated. It is illustrated that, it could not only make it possible to e
the basis of past research, improve the method of algorithms of SFS, but als