A New Feature Set for Face Detection

• Main Authors: Chung-Chih Tsai, 蔡忠志
• Other Authors: Jyh-Shing Roger Jang
• Format: Others
• Language: en_US
• Published: 2005
• Online Access: http://ndltd.ncl.edu.tw/handle/25044260112501168862

碩士 === 國立清華大學 === 資訊系統與應用研究所 === 93 === Viola and Jones introduce a fast face detection system which uses a cascaded structure that can achieve high detection rate and low false positive rate. Their system uses integral images to compute values from features. This thesis introduces two new types of integral images which are called triangle integral images and two corresponding features which are named triangle features. And this thesis proposes a method to lower training error by modifying Discrete AdaBoost. As results, to use triangle features can decrease the numbers of features; this research achieves lower false positive rate and fewer features are used.