얼굴 검출을 위한 gabor 특징 기반의 웨이블릿 분해 방법

• 영문명: Gabor-features based wavelet decomposition method for face detection
• 발행기관: 강원대학교 산업기술연구소
• 저자명: 이정문(Lee Jung Moon) 최찬석(Choi Chan Sok)
• 간행물 정보: 『산업기술연구』vol.28, 143~148쪽, 전체 6쪽
• 주제분류: 공학 > 공학일반
• 파일형태: PDF
• 발행일자: 2008.09.30

영문 초록

A real-time face detection is to find human faces robustly under the cluttered background free from the effect of occlusion by other objects or various lightening conditions. We propose a face detection system for real-time applications using wavelet decomposition method based on Gabor features. Firstly, skin candidate regions are extracted from the given image by skin color filtering and projection method. Then Gabor-feature based template matching is performed to choose face candidate from the skin candidate regions. The chosen face candidate region is transformed into 2-level wavelet decomposition images, from which feature vectors are extracted for classification. Based on the extracted feature vectors, the face candidate region is finally classified into either face or nonface class by the Levenberg-Marguardt back-propagation neural network.

목차

Abstract

1. 서론

2. 실시간 열굴 검출 시스템

3. 실험 및 결과

4. 결론

참고문헌

키워드

얼굴 검출 Gabor 특징 에너지 맵 LM-BP face detection Gabor feature energy map Levenberg-Marquardt back-propagation