Title :
Locating facial features in images with uncontrolled context
Author :
Oancea, Romana ; Molder, Cristian
Author_Institution :
Tech. Sci. Dept., Nicolae Balcescu Land Forces Acad., Sibiu, Romania
Abstract :
This paper proposes an automatic method of detection of facial features - eyes and mouth, based on color and on the symmetry map. The improvement of the quality of the image and the application of the correction techniques, such as the re-escalation of the image, the ellipsoidal vignetting or related processing lead to a detection rate of the facial features of up to 82.21%, as compared to 56.18% the value that was obtained initially.
Keywords :
face recognition; image colour analysis; object detection; correction techniques; detection rate; ellipsoidal vignetting; facial feature detection; facial feature location; image re-escalation; symmetry map; uncontrolled context; Face; Face recognition; Facial features; Feature extraction; Image color analysis; Mouth; Skin; adaptive gamma correction; eyes; facial features; geometrical relations; mouth detection; vignetting;
Conference_Titel :
IT in Medicine and Education (ITME), 2011 International Symposium on
Conference_Location :
Cuangzhou
Print_ISBN :
978-1-61284-701-6
DOI :
10.1109/ITiME.2011.6132037
