灰度图像三维重构技术研究综述  

Review of the techniques for gray image 3D reconstruction

作　　者：孙林丽[1] 李言[2] 郑建明[2] 

机构地区：[1]西安邮电学院自动化学院,陕西西安710121 [2]西安理工大学机械与精密仪器学院,陕西西安710048

出　　处：《西安邮电学院学报》2011年第6期13-15,共3页Journal of Xi'an Institute of Posts and Telecommunications

基　　金：陕西省教育厅产业化基金资助项目(2010JC19)

摘　　要：介绍明暗恢复形状算法(Shape From Shading,SFS)的基本原理。从解算方法和光照模型的角度,分别总结和分析目前SFS算法所存在的主要问题。发现经典SFS算法解算复杂,对边界初始条件和约束条件过于依赖,而且因实际物体表面并不符合朗伯体光反射状况,故解算精度较差。强调光照模型对于SFS问题的重要性,给出下一步有待研究的新思路和新方向。The basic principle and contents of Shape From Shading（SFS） are expounded systematically.In terms of solution method and illumination model,the main problems of current SFS algorithms are analyzed.It is found that,the solution of a classical SFS algorithm is complex,it strongly depends on the initial conditions and boundary constraints,besides,as the actual surface of an object does not always match with the Lambertian reflection,the accuracy of a SFS algorithm is sometimes seriously poor.In addition,the importance of the illumination model in solving above problems is stressed,and some new ideas are put forward for further study.

关 键 词：计算机视觉 明暗恢复形状 三维重构 二向反射分布函数 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]