Image jigsaw puzzles with a self-correcting solver

Xiangtao Zheng, Xiaoqiang Lu, Yuan Yuan

科研成果: 书/报告/会议事项章节会议稿件同行评审

1 引用 (Scopus)

摘要

Jigsaw puzzle is an intellectual game and serves as a platform for many scientific applications. Several computational methods have been proposed to deal with the jigsaw puzzle problem in recent years. However, there are still some drawbacks. First, these methods fail to consider the content consistency of the reconstructed images. Specially, the traditional measures only reflect similarity between adjoining pieces but neighboring pieces. Second, these methods cannot guarantee the overall reconstruction correctness, because the strategy of assembly merely tries to correct the measure of adjoining pieces at each step. To overcome these drawbacks, this paper proposes a new method which contributes the follows: 1) A new measure considers the transmission relationships of four neighboring pieces to make better use of content consistency. 2) A self-correcting mechanism avoids error accumulation of adjoining matrix and improves the overall accuracy of assembly, which is achieved through ordering the pairwise relations. Experimental results on 20 images demonstrate that the proposed method significantly improves the performance and outperforms the state-of-the-art methods.

源语言英语
主期刊名Proceedings - 2013 International Conference on Virtual Reality and Visualization, ICVRV 2013
出版商IEEE Computer Society
112-118
页数7
ISBN(印刷版)9780769551500
DOI
出版状态已出版 - 2013
已对外发布
活动2013 International Conference on Virtual Reality and Visualization, ICVRV 2013 - Xi'an, Shaanxi, 中国
期限: 14 9月 201315 9月 2013

出版系列

姓名Proceedings - 2013 International Conference on Virtual Reality and Visualization, ICVRV 2013

会议

会议2013 International Conference on Virtual Reality and Visualization, ICVRV 2013
国家/地区中国
Xi'an, Shaanxi
时期14/09/1315/09/13

指纹

探究 'Image jigsaw puzzles with a self-correcting solver' 的科研主题。它们共同构成独一无二的指纹。

引用此