Performance Improvement of Automatic Facial Midline Detection by Chain–coded Merlin–Farber Hough Transform
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We propose a novel approach for detection of the facial midline from a frontal face image. The facial mid- line has several applications, for instance reducing computa- tional cost required for facial feature extraction (FFE) and post- operative assessment for cosmetic or dental surgery. The pro- posed method detects the facial midline of a frontal face from an edge image as the symmetry axis using the Merlin–Faber Hough transformation. Experimental results on the FERET database indicate that the proposed algorithm can accurately detect mid- lines of face images with different scales and rotation.
収録刊行物
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- Proceedings of the Second International Workshop on Regional Innovation Studies : (IWRIS2010)
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Proceedings of the Second International Workshop on Regional Innovation Studies : (IWRIS2010) (2), 67-70, 2011-10-01
Graduate School of Regional Innovation Studies, Mie University
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詳細情報 詳細情報について
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- CRID
- 1050282677915762176
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- NII論文ID
- 120003483535
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- HANDLE
- 10076/11664
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- 本文言語コード
- en
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- 資料種別
- departmental bulletin paper
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- データソース種別
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- IRDB
- CiNii Articles