PI Diagram Based Face Detection with AdaBoost in Color Image

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...

Full description

Saved in:
Bibliographic Details
Published in2009 International Conference on Artificial Intelligence and Computational Intelligence Vol. 2; pp. 432 - 435
Main Authors ZhiSheng Gao, ChunZhi Xie
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.11.2009
Subjects
Adaboost
Artificial intelligence
Color
Computational intelligence
Covariance matrix
Face detection
Face recognition
Feathers
Lighting
Mathematics
PI Diagram
Skin
Online AccessGet full text

Cover

More Information
Summary: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.
ISBN:1424438357
9781424438358
DOI:10.1109/AICI.2009.261