Recovery of surfaces with discontinuities by fusing shading and range data within a variational framework

被引:19
作者
Shah, J
Pien, HH
Gauch, JM
机构
[1] CHARLES STARK DRAPER LAB INC,IMAGE RECOGNIT SYST,CAMBRIDGE,MA 02139
[2] NORTHEASTERN UNIV,COLL COMP SCI,BOSTON,MA 02115
[3] UNIV KANSAS,DEPT ELECT ENGN & COMP SCI,LAWRENCE,KS 66045
基金
美国国家卫生研究院; 美国国家科学基金会;
关键词
D O I
10.1109/83.506759
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This work provides a variational framework for fusing range and intensity data for recovering regularized surfaces. It is shown that this framework provides natural boundary conditions for the shape-from-shading problem, results in a new shape-from-shading formulation in the absence of range data, and provides a new fusion paradigm when range data is incorporated. The approach is demonstrated on simulated range and intensity images; error analysis with respect to the ground truth surface is presented. It is shown that the formulation performs well even in very noisy images.
引用
收藏
页码:1243 / 1251
页数:9
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