Title :
Face Detection and Localization of Facial Features in Still and Video Images
Author :
Praseeda, L.V. ; Kumar, Sudhakar ; Vidyadharan, Divya S.
Abstract :
Pattern recognition problem rely on the features inherent in the pattern of images. Face detection and recognition is one of the challenging research areas in the field of computer vision. In this paper, we present a method to identify skin pixels from still and video images using skin color. Face regions are identified from this skin pixel region. Facial features such as eyes, nose and mouth are then located. This approach reliably works for face sequence with orientation in head, expressions etc.
Keywords :
computer vision; face recognition; feature extraction; image colour analysis; image resolution; image sequences; video signal processing; computer vision; face detection; face localization; face sequence; facial features; pattern recognition problem; skin color; skin pixels; still images; video images; Computer vision; Eyes; Face detection; Face recognition; Facial features; Mouth; Nose; Pattern recognition; Pixel; Skin; Face Detection; Localization;
Conference_Titel :
Emerging Trends in Engineering and Technology, 2008. ICETET '08. First International Conference on
Conference_Location :
Nagpur, Maharashtra
Print_ISBN :
978-0-7695-3267-7
Electronic_ISBN :
978-0-7695-3267-7
DOI :
10.1109/ICETET.2008.138
