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» New Feature Extraction Approaches for Face Recognition
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ICPR
2010
IEEE
15 years 2 months ago
Recognition of Blurred Faces Via Facial Deblurring Combined with Blur-Tolerant Descriptors
Blur is often present in real-world images and significantly affects the performance of face recognition systems. To improve the recognition of blurred faces, we propose a new ap...
Abdenour Hadid, Masashi Nishiyama, Yoichi Sato
106
Voted
AMFG
2005
IEEE
183views Biometrics» more  AMFG 2005»
15 years 5 months ago
Parametric Stereo for Multi-pose Face Recognition and 3D-Face Modeling
This paper presents a new method for face modeling and face recognition from a pair of calibrated stereo cameras. In a first step, the algorithm builds a stereo reconstruction of...
Rik Fransens, Christoph Strecha, Luc J. Van Gool
92
Voted
ICASSP
2010
IEEE
14 years 10 months ago
Feature extraction for robust speech recognition based on maximizing the sharpness of the power distribution and on power floori
This paper presents a new robust feature extraction algorithm based on a modified approach to power bias subtraction combined with applying a threshold to the power spectral dens...
Chanwoo Kim, Richard M. Stern
117
Voted
AVBPA
2005
Springer
315views Biometrics» more  AVBPA 2005»
15 years 5 months ago
Multi-resolution Histograms of Local Variation Patterns (MHLVP) for Robust Face Recognition
This paper presents a novel approach to face recognition, named Multi-resolution Histograms of Local Variation Patterns (MHLVP), in which face images are represented as the concate...
Wenchao Zhang, Shiguang Shan, Hongming Zhang, Wen ...
IBPRIA
2005
Springer
15 years 5 months ago
The Contribution of External Features to Face Recognition
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...
Àgata Lapedriza, David Masip, Jordi Vitri&a...