ICIP
2006
IEEE
15 years 3 months ago
2006
IEEE
We propose a novel algorithm for the identification of faces from image samples. The algorithm uses the Kalman filter to identify significant facial traits. Kalmanfaces are compac...
ICIP
2006
IEEE
2006
IEEE
Fusion of Visible and Infrared Images using Empirical Mode Decomposition to Improve Face Recognition
15 years 3 months ago
In this effort, we propose a new image fusion technique, utilizing Empirical Mode Decomposition (EMD), for improved face recognition. EMD is a non-parametric datadriven analysis t...
ICIP
2008
IEEE
15 years 3 months ago
2008
IEEE
This paper presents a new Sobel-LBP, an extension of existing Local Binary Pattern (LBP), for facial image representation. The face image is filtered by Sobel operator to enhance ...
0
posts
with
0
views
0
views
Homepage ECCV
1994
Springer
15 years 3 months ago
1994
Springer
A face recognition system must recognize a face from a novel image despite the variations between images of the same face. A common approach to overcoming image variations because...
ECCV
2002
Springer
15 years 3 months ago
2002
Springer
We address the problem of face recognition from a large set of images obtained over time - a task arising in many surveillance and authentication applications. A set or a sequence ...
ECCV
2006
Springer
15 years 3 months ago
2006
Springer
Abstract. In spite of over two decades of intense research, illumination and pose invariance remain prohibitively challenging aspects of face recognition for most practical applica...
ECCV
2008
Springer
15 years 3 months ago
2008
Springer
Abstract. A new approach, called Collective Shape Difference Classifier (CSDC), is proposed to improve the accuracy and computational efficiency of 3D face recognition. The CSDC le...
ICCV
2007
IEEE
15 years 3 months ago
2007
IEEE
This paper presents a top-down approach to 3D data analysis by fitting a Morphable Model to scans of faces. In a unified framework, the algorithm optimizes shape, texture, pose an...
CVPR
2008
IEEE
15 years 3 months ago
2008
IEEE
We address the problem of tracking and recognizing faces in real-world, noisy videos. We track faces using a tracker that adaptively builds a target model reflecting changes in ap...