Illumination Invariant Face Recognition Based on Neural Network Ensemble

Authors:
Wu-Jun Li;Chong-Jun Wang;Dian-Xiang Xu;Shi-Fu Chen
Affiliations:
Nanjing University;Nanjing University;North Dakota State University;Nanjing University
Venue:
ICTAI '04 Proceedings of the 16th IEEE International Conference on Tools with Artificial Intelligence
Year:
2004

Citing 0
Cited 3

Illumination Invariant Face Detection Using Classifier Fusion

PCM '08 Proceedings of the 9th Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
A study on illumination invariant face recognition methods based on multiple eigenspaces

ISNN'05 Proceedings of the Second international conference on Advances in neural networks - Volume Part II
A multiple eigenspaces constructing method and its application to face recognition

ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part II

Quantified Score

Hi-index	0.00

Visualization

Abstract

An illumination invariant face recognition method based on neural network ensemble architecture is proposed. Given a face image with an arbitrary illumination direction, it can complete recognition in a uniform way with high performance without knowing or estimating the illumination direction. Experimental result shows that the recognition ratio of the ensemble architecture is higher than the conventional approach that uses a single neural network to recognize faces of a specific illumination direction.