FGR
2008
IEEE
14 years 18 days ago
2008
IEEE
This paper studies face recognition and person-specific face image retrieval in unconstrained environments. The proposed method consists of two parts: offline and online learning....
ICPR
2010
IEEE
14 years 19 days ago
2010
IEEE
—Patch-based face recognition is a recent method which uses the idea of analyzing face images locally, in order to reduce the effects of illumination changes and partial occlusio...
ICASSP
2010
IEEE
14 years 19 days ago
2010
IEEE
Illumination induced appearance changes represent one of the open challenges in automated face recognition systems still significantly influencing their performance. Several tec...
DSD
2010
IEEE
14 years 19 days ago
2010
IEEE
— Real-time face recognition by computer systems is required in many commercial and security applications because it is the only way to protect privacy and security in the sea of...
ICMCS
2010
IEEE
14 years 1 months ago
2010
IEEE
The issue of privacy protection in video surveillance has drawn a lot of interest lately. However, thorough performance analysis and validation is still lacking, especially regard...
DICTA
2009
14 years 1 months ago
2009
This paper shows that most surveillance cameras fall well short of providing sufficient image quality, in both spatial resolution and colour reproduction, for the reliable identifi...
BCSHCI
2009
14 years 1 months ago
2009
This paper presents a system for interaction with a display via hand pointing, where a single CCD camera on top of the screen is directed towards the viewers. An attention mechani...
NIPS
1997
14 years 1 months ago
1997
There is strong evidence that face processing is localized in the brain. The double dissociation between prosopagnosia, a face recognition deficit occurring after brain damage, a...
WSCG
2004
14 years 1 months ago
2004
In this paper requirements and conditions for the visitor identification system are outlined and an example system is proposed. Two main subsystems: face detection and face recogn...
NIPS
2004
14 years 1 months ago
2004
Linear Discriminant Analysis (LDA) is a well-known scheme for feature extraction and dimension reduction. It has been used widely in many applications involving high-dimensional d...