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单幅图像三维表面重建的算法研究与实现
引用本文:孙林丽,李言,郑建明. 单幅图像三维表面重建的算法研究与实现[J]. 计算机应用, 2009, 29(2): 433-435
作者姓名:孙林丽  李言  郑建明
作者单位:西安理工大学,机械与精密仪器学院,西安,710048
基金项目:陕西省科学技术研究计划 
摘    要:以单幅二维图像为研究对象,应用SFS的基本理论,首先对二维图像进行了光照的倾角和偏角的估计,在光源坐标系下计算出物体每一点的表面梯度;之后,旋转坐标系,在观察坐标系下得到物体的表面梯度;最后采用三点辛普森公式求出物体表面的高度。整个算法流程简单,求解层次分明,重构满意度较高。

关 键 词:明暗恢复形状  三维重构  参数估计  坐标旋转  辛普森公式
收稿时间:2008-08-13

Simple 3D reconstruction method from single 2D image of object
SUN Lin-li,LI Yan,ZHENG Jian-ming. Simple 3D reconstruction method from single 2D image of object[J]. Journal of Computer Applications, 2009, 29(2): 433-435
Authors:SUN Lin-li  LI Yan  ZHENG Jian-ming
Affiliation:SUN Lin-li,LI Yan,ZHENG Jian-ming School of Mechanical Instrumental Engineering,Xi'an University of Technology,Xi'an Shaanxi 710048,China
Abstract:The single 2D image is taken as the research object and this paper applied the basic theory of SFS, firstly estimated the tilt and the slant of illumination, calculated every point of the surface gradient of the object in illumination coordinate,secondly rotated the coordinate system, getting the every point of the surface gradient of the object in observing coordinate, finally used three point Simpson formula, getting the height of the object. The entire process is simple and clear and the results of simulation showed the efficiency of the new approach.
Keywords:Shape From Shading (SFS)  3D reconstruction  estimation of parameters  coordinate circumgyrate  Simpson formula
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