Presentation 2007-02-23
Robust Eye (Pupil) Detection based on Gabor filters
Kenji KUBO, Yen-Wei CHEN,
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Abstract(in English) Eye detection is an important issue in the area efface recognition and human interface and so on. In this paper, we propose a robust eye (pupil) detection technique using Gabor filters. We first use Garbor filter and skin color information to detect the face and then the ROI of eye is automatically determined based on geometric structure of human face. We then applied four Gabor filters with different directions (0, 45, 90, 135) to the ROI of eye. Since the pupil of eye do not have any directions, the pupil or the eye can be easily detected by combining the four output of Gabor filters with a logical product.
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Keyword(in English) Gabor filters / face detection / eye detection / feature vector / skin color
Paper # PRMU2006-231,HIP2006-124
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Committee HIP
Conference Date 2007/2/16(1days)
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Registration To Human Information Processing (HIP)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Robust Eye (Pupil) Detection based on Gabor filters
Sub Title (in English)
Keyword(1) Gabor filters
Keyword(2) face detection
Keyword(3) eye detection
Keyword(4) feature vector
Keyword(5) skin color
1st Author's Name Kenji KUBO
1st Author's Affiliation College of Information Science and Engineering, Ritsumeikan University()
2nd Author's Name Yen-Wei CHEN
2nd Author's Affiliation College of Information Science and Engineering, Ritsumeikan University
Date 2007-02-23
Paper # PRMU2006-231,HIP2006-124
Volume (vol) vol.106
Number (no) 541
Page pp.pp.-
#Pages 5
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