Depth from shading based on 2D maximum entropy

摘要：

Depth from Shading is an open problem in computer vision. During the estimation of object depth or shape, integrability constraint is enforced to regularize the solution. In this paper, we introduced a regularizing term of smoothness constraint employing the 2D maximum entropy to enforce the integrability. The test on synthetic image shows the proposed method has the better performance than the available methods. It is also robust to the noise, so there is a good application foreground for the method.

关键词： Depth from Shading Maximum Entropy Image Reconstruction

作者: Shuzhen Wang

作者单位: School of computer, xidian university, china, 710071

会议类型: 国际会议

会议名称: International Conference on Intelligent Computation Technology and Automation(2008 智能计算技术与自动化国际会议 ICICTA 2008)

会议地点: 长沙

会议语种:英文

页码: 1410-1412

在线出版日期: 2008-10-20（万方平台首次上网日期，不代表论文的发表时间）