Comparative study of segmentation in monochrome facial images: snake pedals and template matching (コンピュータビジョンとイメージメディア)
スポンサーリンク
概要
- 論文の詳細を見る
The snake pedal model is a rather new active contour algorithm used for segmentation in 2D and 3D digital images, and has been employed with good results in medical imaging. However, its use on other typical images, like facial images, has not been studied deeply. In this paper we evaluate the snake pedal model applied to face segmentation, and more specifically, to parameter extraction, i.e., face aspect ratio, face area and position. We compare its results with the ones of a template matching method. Results indicate that the snake pedal model outperforms the template matching model in face area estimation.
- 一般社団法人情報処理学会の論文
- 2007-09-03
著者
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OHYA Jun
Waseda University, GITS Faculty
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Ohya Jun
Waseda Univ.
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Ohya Jun
Waseda University
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Perez Claudio
Universidad De Chile
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Ramirez Carolina
Waseda University
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