A new image segmentation method for removing background of object movies by learning shape priors

Cheng Hung Ko*, Yu Pao Tsai, Zen-Chung Shih, Yi Ping Hung

*此作品的通信作者

研究成果: Conference contribution同行評審

4 引文 斯高帕斯(Scopus)

摘要

This paper proposes a new object movie (OM) segmentation method that incorporates shape priors into the segmentation algorithm. The shape prior introduced into every image of the OM is learned from the 3D model reconstructed by the volumetric graph cuts. Here, the constraint derived from the discrete medial axis is used to improve the reconstruction algorithm. Our segmentation method requires only a small amount of user intervention, which is to select a subset of acceptable segmentations of the OM after the initial segmentation process. Compared to other techniques, our method provides not only the better segmentation result but also the better 3D reconstruction result.

原文English
主出版物標題Proceedings - 18th International Conference on Pattern Recognition, ICPR 2006
頁面323-326
頁數4
DOIs
出版狀態Published - 1 12月 2006
事件18th International Conference on Pattern Recognition, ICPR 2006 - Hong Kong, 中國
持續時間: 20 8月 200624 8月 2006

出版系列

名字Proceedings - International Conference on Pattern Recognition
1
ISSN(列印)1051-4651

Conference

Conference18th International Conference on Pattern Recognition, ICPR 2006
國家/地區中國
城市Hong Kong
期間20/08/0624/08/06

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