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Reliable and Fast Eye Detection
- Choi, Jung Keun;
- Chung, Sun-Tae;
- Kim, Jaemin;
- Cho, Seongwon;
- Kim, Yusung;
- 외 4명
Citations
WEB OF SCIENCE
1초록
Automatic detection of human eyes in images plays an important role in face recognition and human computer interaction. In this paper, we present a reliable and fast eye detection method. First, it detects a face region from a gray image using an Ada-boosting algorithm. Second, it estimates the head tilt angle and the vertical location of two eyes using intensity valley and edge patterns. Third, it detects the candidate regions for irises with a simple effective filter responding to the generic eye pattern. Finally it accurately localizes the eye using a fast deformable template matching algorithm.
키워드
Face Detection; Ada-Boosting; Eye Dection; Face Normalization
- 제목
- Reliable and Fast Eye Detection
- 저자
- Choi, Jung Keun; Chung, Sun-Tae; Kim, Jaemin; Cho, Seongwon; Kim, Yusung; Ki, Sunho; Choi, Sunhyung; Yang, Jaejun; Kim, Taeho
- 발행일
- 2009
- 유형
- Proceedings Paper
- 저널명
- PROCEEDINGS OF THE 9TH WSEAS INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING, COMPUTATIONAL GEOMETRY AND ARTIFICIAL VISION (ISCGAV'09)
- 페이지
- 78 ~ +
- 언어
- ENG
- 출판사
- WORLD SCIENTIFIC AND ENGINEERING ACAD AND SOC
- 발행국가
- 그리스
- ISSN
- P 1790-5109