Curvature consistency for shape-from-shading

被引：0
|
作者：
Sartori, F [1 ]
Hancock, ER [1 ]
机构：
[1] Univ York, Dept Comp Sci, York YO10 5DD, N Yorkshire, England
来源：
IMAGE ANALYSIS, PROCEEDINGS | 2003年 / 2749卷
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper describes a new curvature consistency method for shape-from-shading. Our idea is to combine evidence for the best surface normal direction. To do this we transport surface normals across the surface using a local estimate of the Hessian matrix. The evidence combination process uses the normal curvature to compute a weighted average surface normal direction. We experiment with the resulting shape-from-shading method on a variety of real world synthetic data.
引用
收藏
页码：67 / 74
页数：8
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