Bayesian analysis is a popular subspace based face recognition method. It casts the face recognition task into a binary classification problem with each of the two classes, intrap...
This paper introduces a new architecture for face detection in color images. Based on skin locus and successive detectors, the method allows high efficiency under drastically vary...
Abdenour Hadid, Birgitta Martinkauppi, Matti Pieti...
A major challenge for face recognition algorithms lies in the variance faces undergo while changing pose. This problem is typically addressed by building view dependent models bas...
This paper presents a novel face representation and recognition approach. The face image is first decomposed by multi-scale and multi-orientation Gabor filters and local binary ...
Zhen Lei, ShengCai Liao, Ran He, Matti Pietikä...
—Face recognition performance depends upon the input variability as encountered during biometric data capture including occlusion and disguise. The challenge met in this paper is...