%0 Journal Article
%T 3D reconstruction from single 2D image of object<br>由单幅二维灰度图像重构物体表面形状*
%A GAO Yue-fang
%A LUO Fei
%A CAO Jian-zhong
%A <br>高月芳
%A 罗飞
%A 曹建忠
%J 计算机应用研究
%D 2007
%I 
%X Since there have been few papers on a whole SFS algorithm, this paper introduced a SFS algorithm which includes the estimation of the control parameters and the implementation of the algorithm. Taking into consideration of the effect of selfshading, it can effectively estimate the control parameters used in the SFS algorithms. It implemented the brightness con- straint, the intensity gradient constraint and the integrability constraint to compute the surface height and orientation and to reconstruct the surface shape. This algorithm performed better than a great deal of conventional algorithms in both speed and accuracy. This paper finally mentioned some problems that should be paid attention to in MATLAB.
%K 3D reconstruction
%K SFS(shape from shading)
%K estimation of parameters
%K variational calculus
%K hierarchical algorithm<br>三维重构
%K 由明暗恢复形状
%K 参数估计
%K 变分法
%K 分层算法
%K 单幅
%K 灰度
%K 图像重构
%K 物体表面形状
%K object
%K image
%K single
%K 问题
%K MATLAB
%K 前景
%K 应用
%K 水平
%K 比较
%K 精度
%K 速度
%K 三维重构
%K 向量
%K 表面高度
%K 计算
%K 性约束
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=C793235A4E87B8F69B1196664B9EEB4F&yid=A732AF04DDA03BB3&vid=B91E8C6D6FE990DB&iid=5D311CA918CA9A03&sid=64963996248CBF47&eid=2BA123C6EB9D54C2&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=1&reference_num=7