Face detection based on AdaBoost algorithm with Local AutoCorrelation image

IEICE Electronics Express

Toshio Koga¹  Hongjin Zhu¹ 

[1] Graduate School of Science and Engineering Yamagata University

关键词: AdaBoost algorithm;    face detection;    Local AutoCorrelation;    illumination normalization;   

DOI  :  10.1587/elex.7.1125

学科分类：电子、光学、磁材料

来源: Denshi Jouhou Tsuushin Gakkai

【 摘 要 】

References(8)This paper proposes a novel concept of Local AutoCorrelation (LAC), which is converted to LAC images for robust face detection under varying illumination conditions. We have applied LAC images to face detection based on AdaBoost algorithm. MIT CBCL images are used for training, while CMU PIE face database including a variety of illumination directions is used for detection. As a result, the LAC is found to be so effective that face detection rate is improved by up to 4.7%.

【 授权许可】

Unknown