DocumentCode :
2492312
Title :
Reduced complexity Eye Detector for colour images using Harris Corners, Color heuristics and Edge maps
Author :
Chen, Lihui ; Grecos, Christos ; Yang, M.Y.
Author_Institution :
Dept. of Electron. & Electr. Eng., Loughborough Univ.
fYear :
0
fDate :
0-0 0
Firstpage :
245
Lastpage :
248
Abstract :
Eye detection plays a central role in automatic face detection systems and it is also important for human-computer interaction and face tracking. In this paper, we present a novel, unsupervised scheme for detecting eyes in skin patches based on our previous work on skin patch detection (Chen and Grecos, 2005). Working on the normalized RGB color space (NRGB), we use a combination of corner identification, color and edges as heuristics for detecting eyes. Experimental results show that our scheme is very fast in the AR and Champion databases (average time 2.53 and 0.21 seconds per image respectively with un-optimized code), while retaining very high detection rates (100 and 89.5% correspondingly)
Keywords :
biometrics (access control); eye; face recognition; image colour analysis; AR database; Champion database; Harris corners; automatic face detection systems; color heuristics; colour images; corner identification; edge maps; eye detection; eye detector; face tracking; human-computer interaction; normalized RGB color space; Color; Colored noise; Detectors; Eyes; Face detection; Face recognition; Image edge detection; Lighting; Robustness; Skin;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Research in Microelectronics and Electronics 2006, Ph. D.
Conference_Location :
Otranto
Print_ISBN :
1-4244-0157-7
Type :
conf
DOI :
10.1109/RME.2006.1689942
Filename :
1689942
Link To Document :
بازگشت