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» Face Recognition Based on 2D and 3D Features
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ACCV
2006
Springer
15 years 3 months ago
Probabilistic Modeling for Structural Change Inference
We view the task of change detection as a problem of object recognition from learning. The object is defined in a 3D space where the time is the 3rd dimension. We propose two com...
Wei Liu, Véronique Prinet
GECCO
2004
Springer
179views Optimization» more  GECCO 2004»
15 years 3 months ago
Feature Synthesis Using Genetic Programming for Face Expression Recognition
In this paper a novel genetically-inspired learning method is proposed for face expression recognition (FER) in visible images. Unlike current research for FER that generally uses ...
Bir Bhanu, Jiangang Yu, Xuejun Tan, Yingqiang Lin
ICIP
2009
IEEE
15 years 11 months ago
Scale-robust Feature Extraction For Face Recognition
In video surveillance, the sizes of face images are very small. However, few works have been done to investigate scalerobust face recognition. Our experiments on appearancebased m...
CIVR
2007
Springer
227views Image Analysis» more  CIVR 2007»
15 years 4 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
ICPR
2010
IEEE
14 years 11 months ago
Feature Space Hausdorff Distance for Face Recognition
We propose a novel face image similarity measure based on Hausdorff distance (HD). In contrast to conventional HD-based measures, which are generally applied in the image space (s...
Shaokang Chen, Brian Carrington Lovell