PI Diagram Based Face Detection with AdaBoost in Color Image

Author

Gao, ZhiSheng ; Xie, Chunzhi

Author_Institution

Sch. of Math. & Comput. Eng., Xihua Univ., Chengdu, China

Volume

2

fYear

2009

fDate

7-8 Nov. 2009

Firstpage

432

Lastpage

435

Abstract

This paper proposes a novel method for detecting faces in color images using AdaBoost algorithm combined with PI diagram. First, potential face area is detected using PI diagram which is constructed by the principal vector of image´s RGB vectors and illumination intensity. Then, the full areas are gotten by the growth algorithm. Finally, these face candidates are scanned by the cascade classifier based on AdaBoost for more accurate face detection. Experiments show that our approach is accurate than AdaBoost and has lower error detected rate than Skin color method.

Keywords

diagrams; face recognition; image colour analysis; AdaBoost algorithm; PI diagram; RGB vectors; cascade classifier; color image; face area; face detection; growth algorithm; illumination intensity; principal vector; skin color method; Artificial intelligence; Color; Computational intelligence; Covariance matrix; Face detection; Face recognition; Feathers; Lighting; Mathematics; Skin; Adaboost; Face Detection; PI Diagram;

fLanguage

English

Publisher

ieee

Conference_Titel

Artificial Intelligence and Computational Intelligence, 2009. AICI '09. International Conference on

Conference_Location

Shanghai

Print_ISBN

978-1-4244-3835-8

Electronic_ISBN

978-0-7695-3816-7

Type

conf

DOI

10.1109/AICI.2009.261

Filename

5375841