에지 방향 지도와 영역 컬러 정보를 이용한 얼굴 추출 기법Face Detection Using Edge Orientation Map and Local Color Information
- Other Titles
- Face Detection Using Edge Orientation Map and Local Color Information
- Authors
- 김재협; 문영식
- Issue Date
- Nov-2005
- Publisher
- 대한전자공학회
- Citation
- 대한전자공학회 학술대회 2005년도 추계종합학술대회 논문집, v.28, no.2, pp.987 - 990
- Indexed
- OTHER
- Journal Title
- 대한전자공학회 학술대회 2005년도 추계종합학술대회 논문집
- Volume
- 28
- Number
- 2
- Start Page
- 987
- End Page
- 990
- URI
- https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/45572
- Abstract
- An important issue in the field of face recognitions and man-machine interfaces is an automatic detection of faces in visual scenes. it should be computationally fast enough to allow an online detection. In this paper we describe our ongoing work on face detection that models the face appearance by edge orientation and color distribution. We show that edge orientation is a powerful feature to describe objects like faces. We present a method for face region detection using edge orientation and a method for face feature detection using local color information. We demonstrate the capability of our detection method on an image database of 1877 images taken from more than 700 people. The variations in head size, lighting and background are considerable, and all images are taken using low-end cameras. Experimental results show that the proposed scheme achieves 94% detection rate with a resonable amount of computation time.
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