Face Recognition SystemBy Arthur

Introduction

A facial recognition system is a computer application for automatically identifying or verifying a person from a digital image or a video frame from a video source. --Wikipedia

Face perception

Machine Learning Example

http://how-old.net/ (Microsoft)

Basic Face Recognition System

Step 1: Face detection

Identify and locate human faces

Normalization

Face detection methods:

Knowledge-based methods

Feature invariant approaches

Template matching methods

Appearance-based methods

Step 2: Feature extraction

Holistic Feature Extraction Eigenface principal component analysis (PCA) Local Feature Extraction Gabor Wavelet Transform

Eigenface and PCA

Example

Step 3: Face recognition/verification

Verification Recognition Match Database:The Yale Face Database

Applications

Entertainment: Smart camera/ Virtual Reality Smart Cards: Passports Security : Personal Device Logon /Real time

screening Law Enforcement: Anti-crime

Advantages

Non-intrusive biometric identification technique

Convenient and economic Real time screening

Disadvantages

Strict requirement of light and pose Face may change with time Privacy issue

Conclusion

A popular research area in machine leaning with a broad application foreground.

Reference

M. Turk, A. Pentland, Eigenfaces for Recognition, Journal of Cognitive Neurosicence, Vol. 3, No. 1, 1991, pp. 71-86

A. Pentland, B. Moghaddam, T. Starner, View-Based and Modular Eigenspaces for Face Recognition, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 21-23 June 1994, Seattle, Washington, USA, pp. 84-91

H. Moon, P.J. Phillips, Computational and Performance aspects of PCA-based Face Recognition Algorithms, Perception, Vol. 30, 2001, pp. 303-321

Thank you!