ISCAS
2003
IEEE
14 years 6 months ago
2003
IEEE
Skin color is a useful means for human face detection. In this paper, we propose an efficient color compensation method for skin color segmentation under varying lighting conditio...
PCM
2004
Springer
14 years 6 months ago
2004
Springer
Different environment illumination has a great impact on face detection. In this paper, we present a solution by the face relighting based on the harmonic images. The basic idea i...
KI
2004
Springer
14 years 6 months ago
2004
Springer
Abstract. For real time object recognition and tracking often color-based methods are used. While these methods are very efficient, they usually dependent heavily on lighting cond...
ICBA
2004
Springer
14 years 6 months ago
2004
Springer
This paper introduces an innovative method, Dynamic Local Feature Analysis (DLFA), for human face recognition. In our proposed method, the face shape and the facial texture informa...
ICRA
2007
IEEE
14 years 7 months ago
2007
IEEE
— In this paper, we propose an original approach to control camera position and/or lighting conditions in an environment using image gradient information. Our goal is to ensure a...
SIBGRAPI
2008
IEEE
14 years 7 months ago
2008
IEEE
We describe a procedure to solve the basic problem of Variable Lighting Photometric Stereo – namely, recovering the normal directions and intrinsic albedos at all visible points...
ICPR
2008
IEEE
14 years 7 months ago
2008
IEEE
In this paper, a novel background model on spatio-temporal patches is introduced for video surveillance, especially for night outdoor scene, where extreme lighting conditions ofte...
ACIVS
2009
Springer
14 years 7 months ago
2009
Springer
Abstract. Prematurely born infants are observed at a Neonatal Intensive Care Unit (NICU) for medical treatment. Whereas vital body functions are continuously monitored, their incub...
CVPR
2007
IEEE
15 years 2 months ago
2007
IEEE
The use of video sequences for face recognition has been relatively less studied than image-based approaches. In this paper, we present a framework for face recognition from video...