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» New Feature Extraction Approaches for Face Recognition
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ICPR
2010
IEEE
14 years 12 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
AMFG
2005
IEEE
183views Biometrics» more  AMFG 2005»
15 years 3 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
ICASSP
2010
IEEE
14 years 8 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
AVBPA
2005
Springer
315views Biometrics» more  AVBPA 2005»
15 years 3 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 2 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...