Automatic detection of face and facial features

Authors:
Chai Tong Yuen;M. Rizon;Woo San San;M. Sugisaka
Affiliations:
School of Mechatronics Engineering, Universiti Malaysia Perlis, Jejawi, Perlis, Malaysia;School of Mechatronics Engineering, Universiti Malaysia Perlis, Jejawi, Perlis, Malaysia;School of Mechatronics Engineering, Universiti Malaysia Perlis, Jejawi, Perlis, Malaysia;Department of Electrical and Electronic Engineering, Oita University, Oita, Japan
Venue:
ISPRA'08 Proceedings of the 7th WSEAS International Conference on Signal Processing, Robotics and Automation
Year:
2008

Citing 7
Cited 2

A Computational Approach to Edge Detection

IEEE Transactions on Pattern Analysis and Machine Intelligence
Grayscale morphology

Computer Vision, Graphics, and Image Processing
SUSAN—A New Approach to Low Level Image Processing

International Journal of Computer Vision
Face Recognition: Features Versus Templates

IEEE Transactions on Pattern Analysis and Machine Intelligence
Projection based method for segmentation of human face and its evaluation

Pattern Recognition Letters
A real-time face tracker

WACV '96 Proceedings of the 3rd IEEE Workshop on Applications of Computer Vision (WACV '96)
Automatic facial feature extraction by genetic algorithms

IEEE Transactions on Image Processing

Real-time detection of face and iris

WSEAS Transactions on Signal Processing
Real-time iris detection

Artificial Life and Robotics

Quantified Score

Hi-index	0.00

Visualization

Abstract

An algorithm to automatically detect facial features from color images has been developed. First, face region is located using skin-color information. Then, the iris candidates are extracted from the intensity valleys created from the detected face. Next, the costs for each pair of iris candidates are computed to determine the real pair of irises. Mouth region and corners are detected using color space method, image processing and corners detection techniques. This algorithm has been tested to specifically reduce the effects of beard, moustache, hairstyle and facial expression in automated facial features detection.