%0 Journal Article
%T An Improved Perspective Shape from Shading Based on Adaptive Eikonal Equation<br>基于自适应Eikonal方程的改进透视SFS算法
%A WANG Xuemei
%A SUN Jixiang
%A <br>王学梅
%A 孙即祥
%J 中国图象图形学报
%D 2010
%I 
%X PFMM(perspective fast marching method) is a successful approach to shape from shading (SFS) technique, but it is restricted by some conditions and sensitive to the precision of the initialization. In this paper, we have studied the characteristics of the coefficients in the Eikonal equation and proposed an improved perspective fast marching method based on adaptive Eikonal equation. This algorithm depends much less on the initialization which may have error from the real surface. Moreover we have proved that PFMM is a particular case of our algorithm. Experiments on synthetical pictures demonstrate that our algorithm can obtain higher accuracy than PFMM does and yield good performance for perspective SFS problem.
%K shape from shading
%K Eikonal equation
%K fast marching method
%K adaptive Eikonal equation<br>明暗恢复形状
%K Eikonal方程
%K 快速步进法
%K 自适应Eikonal方程
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=D06194629680C940ACE75262F54B9D85&aid=C97FB4DDEB5AB911159DA5CFEDEF6A83&yid=140ECF96957D60B2&vid=23CCDDCD68FFCC2F&iid=94C357A881DFC066&sid=BDEE8BA20F4733DB&eid=786A9BAE5CF9B9EE&journal_id=1006-8961&journal_name=中国图象图形学报&referenced_num=0&reference_num=13