SIGIR
2005
ACM
14 years 7 months ago
2005
ACM
Recognition and retrieval of historical handwritten material is an unsolved problem. We propose a novel approach to recognizing and retrieving handwritten manuscripts, based upon ...
ICDAR
2005
IEEE
14 years 8 months ago
2005
IEEE
After developing a model free table recognition system we wanted to tune parameters in order to optimize the recognition performance. Therefore we developed a benchmarking environ...
ICIP
2008
IEEE
14 years 8 months ago
2008
IEEE
Face representation based on the Visual Codebook becomes popular because of its excellent recognition performance, in which the critical problem is how to learn the most efficien...
ICPR
2002
IEEE
15 years 3 months ago
2002
IEEE
We present a comprehensive performance analysis of multiple appearance-based face recognition methodologies, on visible and thermal infrared imagery. We compare algorithms within ...
ICIP
2001
IEEE
15 years 3 months ago
2001
IEEE
Face recognition has become an important topic within the field of pattern recognition and computer vision. In this field a number of different approaches to feature extraction, m...
ECCV
2006
Springer
15 years 4 months ago
2006
Springer
Recently, the wide deployment of practical face recognition systems gives rise to the emergence of the inter-modality face recognition problem. In this problem, the face images in ...
CVPR
2007
IEEE
15 years 4 months ago
2007
IEEE
Outdoor face recognition is among the most challenging problems for face recognition. In this paper, we develop a discriminant mutual subspace learning algorithm for indoor and ou...
CVPR
2005
IEEE
15 years 4 months ago
2005
IEEE
We present a method for automatically learning discriminative image patches for the recognition of given object classes. The approach applies discriminative training of log-linear...
CVPR
2004
IEEE
15 years 4 months ago
2004
IEEE
We present results on the latest advances in thermal infrared face recognition, and its use in combination with visible imagery. Previous research has shown high performance under...