ISNN
2005
Springer
14 years 28 days ago
2005
Springer
It is a challenge to recognize faces under variable poses or illumination directions. In the area of multiview face recognition, many experimental results have shown that the perfo...
ICAPR
2005
Springer
14 years 29 days ago
2005
Springer
In this paper we analyse the effects that JPEG and JPEG2000 compression have on subspace appearance-based face recognition algorithms. This is the first comprehensive study of stan...
IBPRIA
2005
Springer
14 years 29 days ago
2005
Springer
In this paper we propose a face recognition algorithm that combines internal and external information of face images. Most of the previous works dealing with face recognition use o...
IBPRIA
2005
Springer
14 years 29 days ago
2005
Springer
We present an inherently discriminative approach to face recognition. This is achieved by automatically selecting key points from lines that sketch the face and extracting textural...
CAIP
2005
Springer
14 years 29 days ago
2005
Springer
Abstract. This paper proposes a new method to solve the problem of face recognition under varying illumination conditions. We introduce an exemplar-based technique to decouple and ...
AVBPA
2005
Springer
14 years 29 days ago
2005
Springer
Many researches in face recognition have been dealing with the challenge of the great variability in head pose, lighting intensity and direction,facial expression, and aging. The m...
AVBPA
2005
Springer
14 years 29 days ago
2005
Springer
This paper presents a 3D face recognition system based on geometrically localized facial features. We propose the feature extraction procedure using the geometrical characteristics...
AVBPA
2005
Springer
14 years 29 days ago
2005
Springer
Pose and illumination changes from picture to picture are two main barriers toward full automatic face recognition. In this paper, a novel method to handle both pose and lighting c...
AUSAI
2005
Springer
14 years 29 days ago
2005
Springer
Abstract. Principal Component Analysis (PCA) plus Linear Discriminant Analysis (LDA) (PCA+LDA) and LDA/QR are both two-stage methods that deal with the small sample size (SSS) prob...
MM
2005
ACM
14 years 1 months ago
2005
ACM
In this paper, we focus on the use of context-aware, collaborative filtering, machine-learning techniques that leverage automatically sensed and inferred contextual metadata toget...