Presentation | 2006-03-16 Semi-Supervised Object Extraction for Natural Image Matting Weiwei DU, Kiichi URAHAMA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Supporting strokes drawn by users called trimaps are exploited in natural image matting where an object is extracted from an image and composited against another image. In this paper, we apply a semi-supervised method for extracting a fuzzy cluster from similarity data to this task and present a method for extracting object regions by using coarse strokes by users. Rough specification of foreground or background regions instead of precise trimaps is sufficient for our method. Broad propagation window enables our method to jump gaps in objects and reduce specification strokes. However, broad window increases computational costs, hence we devise a fast algorithm for computing approximate solutions in the method. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | natural image matting / object extraction / semi-supervised cluster extraction / membership propagation |
Paper # | PRMU2005-254 |
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Committee | PRMU |
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Conference Date | 2006/3/9(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Pattern Recognition and Media Understanding (PRMU) |
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Language | ENG |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Semi-Supervised Object Extraction for Natural Image Matting |
Sub Title (in English) | |
Keyword(1) | natural image matting |
Keyword(2) | object extraction |
Keyword(3) | semi-supervised cluster extraction |
Keyword(4) | membership propagation |
1st Author's Name | Weiwei DU |
1st Author's Affiliation | Faculty of Design, Kyushu University() |
2nd Author's Name | Kiichi URAHAMA |
2nd Author's Affiliation | Faculty of Design, Kyushu University |
Date | 2006-03-16 |
Paper # | PRMU2005-254 |
Volume (vol) | vol.105 |
Number (no) | 673 |
Page | pp.pp.- |
#Pages | 6 |
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