会议专题

Image Completion Using Constrained Delaunay Triangulation

In this paper, we proposed a novel algorithm of automatic image structure completion. Different from traditional image completion algorithms directly copying patches from the unknown region to the damaged part, our completion approach first reconstructs the geometry structures in the damaged region with edges inferred by Constrained Delaunay Triangulation (CDT), and select correct edges through a logistic regression classifier. After that, we fin in the region with structure propagation on edges and texture synthesis for other unstructured part respectively. Several experimental results and comparisons demonstrate the effectiveness of our structure completion approach, especially for images with large missing regions.

Image Completion Constrained Delaunay Triangulatioin Logistic Regression

Han Zhou Rong Zhang Baoyun Wang Dong Yin

University of Science and Technology of China, Hefei, Anhui, 230027, China

国际会议

2011 Fourth International Conference on Intelligent Computation Technology and Automation(2011年第四届智能计算技术与自动化国际会议 ICICTA 2011)

深圳

英文

568-571

2011-03-28(万方平台首次上网日期,不代表论文的发表时间)