A Face Location Algorithm Robust to Complex Lighting Conditions

Authors:
Robert Mariani
Affiliations:
-
Venue:
AVBPA '01 Proceedings of the Third International Conference on Audio- and Video-Based Biometric Person Authentication
Year:
2001

Citing 3
Cited 1

Scale Invariant Face Detection Method Using Higher-Order Local Autocorrelation Features Extracted from Log-Polar Image

FG '98 Proceedings of the 3rd. International Conference on Face & Gesture Recognition
Face Detection Based on Color and Local Symmetry Information

FG '98 Proceedings of the 3rd. International Conference on Face & Gesture Recognition
Face Recognition Using Ensembles of Networks

ICPR '96 Proceedings of the International Conference on Pattern Recognition (ICPR '96) Volume IV-Volume 7472 - Volume 7472

A face location and recognition system based on tangent distance

Multimodal interface for human-machine communication

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Abstract

In this paper, we present a face location system in a complex background and robust to a wide range of lighting conditions, likely to appear in an indoor environment. The complete system contains two parts: the face locator and the face tracker. We will only describe the face locator. Face hypothesis are obtained combining a pyramidal grey-level template matching and a geometrical measure based on the facial feature organization. Classification to face or non-face is realized by linear discriminant analysis (LDA) on the principal components analysis (PCA) of a 26-dimensional feature vector extracted from the face hypothesis. Experiments on 1500 images in a cluttered background with 12 lighting conditions are very encouraging.