Abstract:
In this paper, we tackle the problem of face classification and verification. We present a novel face representation method based on a Bayesian network. The model capture...Show MoreMetadata
Abstract:
In this paper, we tackle the problem of face classification and verification. We present a novel face representation method based on a Bayesian network. The model captures dependencies between 2D salient facial regions and the full 3D geometrical model of the face, which makes it robust to pose variations, and useable in unconstrained environments. We present experiments on the challenging databases FERET and LFW, which show a significant advantage over state-of-the-art methods.
Published in: 2015 IEEE 25th International Workshop on Machine Learning for Signal Processing (MLSP)
Date of Conference: 17-20 September 2015
Date Added to IEEE Xplore: 12 November 2015
Electronic ISBN:978-1-4673-7454-5