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» Face Recognition Based on 2D and 3D Features
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CVPR
2006
IEEE
15 years 3 months ago
A Generalized EM Approach for 3D Model Based Face Recognition under Occlusions
This paper describes an algorithm for pose and illumination invariant face recognition from a single image under occlusions. The method iteratively estimates the parameters of a 3...
Michael De Smet, Rik Fransens, Luc J. Van Gool
ICIP
2008
IEEE
15 years 11 months ago
Learning structurally discriminant features in 3D faces
In this paper, we derive a data mining framework to analyze 3D features on human faces. The framework leverages kernel density estimators, genetic algorithm and an information com...
Sreenivas R. Sukumar, Hamparsum Bozdogan, David L....
ICIP
2001
IEEE
15 years 11 months ago
A comparison of discrete and continuous output modeling techniques for a pseudo-2D hidden Markov model face recognition system
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...
Frank Wallhoff, Stefan Eickeler, Gerhard Rigoll
CVPR
2009
IEEE
15 years 4 months ago
Textural Hausdorff Distance for wider-range tolerance to pose variation and misalignment in 2D face recognition
This paper addresses two critical but rarely concerned issues in 2D face recognition: wider-range tolerance to pose variation and misalignment. We propose a new Textural Hausdorff...
Sanqiang Zhao, Yongsheng Gao
ECCV
2008
Springer
15 years 11 months ago
Facial Expression Recognition Based on 3D Dynamic Range Model Sequences
Traditionally, facial expression recognition (FER) issues have been studied mostly based on modalities of 2D images, 2D videos, and 3D static models. In this paper, we propose a sp...
Yi Sun, Lijun Yin