New Algorithm of Shape-from-Shading with Specular Reflectance

杨磊; 韩九强

您当前的位置：

首页 >

文章列表页 >

New Algorithm of Shape-from-Shading with Specular Reflectance

更新时间：2025-12-08

- New Algorithm of Shape-from-Shading with Specular Reflectance
- Vol. 41, Issue 4, Pages: 435-438(2007)
- 作者机构：
  
  西安交通大学电子与信息工程学院,西安,710049
- 作者简介：
- 基金信息：
- DOI：
  CLC： TP391.4
- Online First：10 April 2007，
  
  Published：2007
- 稿件说明：
移动端阅览
杨磊, 韩九强. New Algorithm of Shape-from-Shading with Specular Reflectance[J]. 2007, 41(4): 435-438.
DOI：

杨磊, 韩九强. New Algorithm of Shape-from-Shading with Specular Reflectance[J]. 2007, 41(4): 435-438. DOI：

摘要

提出了一种基于混合反射模型的由明暗恢复形状的离散算法.采用有限差分近似微分运算

将一阶非线性微分方程所描述的反射图方程转化为关于未知表面高度的代数方程

再由反射图方程和图像梯度信息构造目标方程

进而用Newton迭代算法求出该方程的数值解

得到表面三维形状.所提出的新算法具有快速准确的特点

在恢复物体的细节和边缘时

比同类算法更准确.合成半球图像的实验结果表明

与三角形面元算法相比

新算法恢复高度的平均相对误差和CPU运行时间分别减少了37.2%和20.22%.

Abstract

A discrete shape-from-shading(SFS)algorithm based on hybrid reflectance model is proposed. The finite difference is used to approximate differential operation; the reflectance map equation described by the first order nonlinear differential equation is transformed into an algebraic equation about the unknown surface heights

and then the objective equation is constructed by the reflectance map equation and gradient information of image. Moreover

the Newton iterative algorithm is utilized to obtain the numerical solution and 3D shape of the surface. The proposed SFS algorithm is fast and effective and can recover more edges and details of objects than other same kind of methods. The experimental results of the synthesized hemisphere image show that the relative height error and CPU time of the proposed SFS are dropped by 37.2% and 20.22% respectively compared with the triangular-facet-based algorithm.

关键词

Keywords

references

Horn B K P. Height and gradient from shading [J]. Int J Computer Vision, 1990, 5(1):37-75.

Song Limei, Qu Xinghua, Xu Kexin, et al. Novel SFS-NDT in the field of defect detection [J]. International NDTE, 2005, 38(5): 381-386.

Bors A G, Hancock E R, Wilson R C. Terrain analysis using radar shape-from-shading[J]. IEEE Trans Pattern Analysis and Machine Intelligence, 2003, 25(8): 974-992.

Zhang R, Tsai P S, Cryer J E, et al. Shape from shading:a survey [J]. IEEE Trans Pattern Analysis and Machine Intelligence, 1999, 21(8): 690-706.

Lee K M, Kuo C C J. Shape from shading with a linear triangular element surface model [J]. IEEE Trans Pattern Analysis and Machine Intelligence, 1993, 15(8): 815-822.

Tagare H D, Defigueyredo R J P. A theory of photometric stereo for a class of diffuse non-Lambertian surfaces [J]. IEEE Trans Pattern Analysis and Machine Intelligence, 1991, 13(2): 133-152.

Lee K M, Kuo C C J. Shape from shading with a generalized reflectance map model[J]. Computer Vision and Image Understanding, 1997, 67(2): 143-160.

Cho S Y, Chow T W S. A new color 3D SFS methodology using neural-based color reflectance models and iterative recursive method[J]. Neural Computation, 2002, 14(11): 2751-2789.

Karacali B, Snyder W. Noise reduction in surface reconstruction from a given gradient field [J]. Int J Computer Vision, 2004, 60(1): 25-44.

Kang Gewen, Gan Chunquan, Ren Wenwei. Shape from shading based on finite-element [C]∥Proceedings of the Fourth International Conference on Machine Learning and Cybernetics. Piscataway, USA: IEEE, 2005: 5165-5169.

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Review of the Application of EBSILON Software in Combined Heat and Power System Optimization

Turbulent Kinetic Energy Dissipation Mechanism of Supercritical Carbon Dioxide Leakage Flow in a Scallop Bionic Seal Cavity

Energy Efficiency Optimization of the Cryogenic Air Separation Process for Electronic-Grade Ultra Pure Nitrogen

Influence of Structural Parameters on the Summer Operational Characteristics of a Three-Tower-in-One Indirect Air-Cooling System

Electrothermal Coupling Research on the Evolutionary Law of Anti-Corona Performance for High-Altitude Air-Cooled Generators

Related Author

No data

Related Institution

No data

⁰