Glasses Detection for Face Recognition Using Bayes Rules

Authors:
Zhong Jing;Robert Mariani;Jiankang Wu
Affiliations:
-;-;-
Venue:
ICMI '00 Proceedings of the Third International Conference on Advances in Multimodal Interfaces
Year:
2000

Citing 2
Cited 0

Probabilistic Modeling of Local Appearance and Spatial Relationships for Object Recognition

CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Towards Detection of Glasses in Facial Images

ICPR '98 Proceedings of the 14th International Conference on Pattern Recognition-Volume 2 - Volume 2

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this paper, we propose a method to detect, extract and to remove the glasses from a face image. The aim is to achieve a face recognition system robust to glasses presence. The extraction is realised using Bayes rules that incorporate the features around each pixel, and the prior knowledge on glasses features that were learnt and stored in a database. Glasses removal is achieved with an adaptive median filter conducted in the points classified as glasses. The experiments indicate the performance of this method is better than that of Deformable Contour, and are satisfying.