会议专题

A Study of Image Completion for Reducing Filling Errors

Image completion aims at inferring contents in the missing region of an image. Exemplar-based methods provide a powerful tool to solve this problem, but suffer from filling errors in some situation. We uncover one important reason causing the filling errors and propose a solution by making use of the estimated structure intersection to adjust the filling priority. Experimental results verify the performance of the proposed method.

Gang WU Qiang WEI

Panasonic R&D Center of China, Beijing Laboratory (PBJL)

国际会议

第十届中国虚拟现实年会

上海

英文

1673-1677

2010-10-20(万方平台首次上网日期,不代表论文的发表时间)