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» A Face Recognition System Based on Local Feature Analysis
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PAMI
2006
333views more  PAMI 2006»
13 years 7 months ago
Face Description with Local Binary Patterns: Application to Face Recognition
This paper presents a novel and efficient facial image representation based on local binary pattern (LBP) texture features. The face image is divided into several regions from whi...
Timo Ahonen, Abdenour Hadid, Matti Pietikäine...
SSIAI
2000
IEEE
14 years 2 days ago
Hybrid Hidden Markov Model for Face Recognition
In this paper, we introduce a Hybrid Hidden Markov Model (HMM) face recognition system. The proposed system contains a low-complexity 2-D HMM-based face recognition (LC 2D-HMM FR)...
Hisham Othman, Tyseer Aboulnasr
ICIAR
2010
Springer
14 years 14 days ago
Adaptation of SIFT Features for Robust Face Recognition
Abstract. The Scale Invariant Feature Transform (SIFT) is an algorithm used to detect and describe scale-, translation- and rotation-invariant local features in images. The origina...
Janez Krizaj, Vitomir Struc, Nikola Pavesic
CIVR
2007
Springer
227views Image Analysis» more  CIVR 2007»
14 years 1 months ago
Video parsing based on head tracking and face recognition
In this paper, we describe a fully automatic video retrieval prototype system that uses an image or a video sequence of an interested identity as probe. The system is based on fac...
Pengxu Li, Haizhou Ai, Yuan Li, Chang Huang
3DOR
2008
13 years 8 months ago
A 3D Face Recognition Algorithm Using Histogram-based Features
We present an automatic face recognition approach, which relies on the analysis of the three-dimensional facial surface. The proposed approach consists of two basic steps, namely ...
Xuebing Zhou, Helmut Seibert, Christoph Busch, Wol...