Extraction of Facial Features from Color Images
Abstrakt
In this paper, a method for localization and extraction of faces and characteristic facial features such as eyes, mouth and face boundaries from color image data is proposed. This approach exploits color properties of human skin to localize image regions – face candidates. The facial features extraction is performed only on preselected face-candidate regions. Likewise, for eyes and mouth localization color information and local contrast around eyes are used. The ellipse of face boundary is determined using gradient image and Hough transform. Algorithm was tested on image database Feret.
Klíčová slova
Skin color segmentation, face detection, facial features extraction, morphological operations, ellipse detection, Hough transform, Feret databaseTrvalý odkaz
http://hdl.handle.net/11012/57224Typ dokumentu
Recenzovaný dokumentVerze dokumentu
Finální verze PDFZdrojový dokument
Radioengineering. 2008, vol. 17, č. 3, s. 115-120. ISSN 1210-2512http://www.radioeng.cz/fulltexts/2008/08_03_115_120.pdf
Kolekce
- 2008/3 [21]