Feature extraction and classification using Gabor wavelets have proven to be successful in computer vision and pattern recognition. Gabor feature-based Elastic Bunch Graph Matching (EBGM), which demonstrated excellent performance in the FERET evaluation test, has been considered as one of the best a
MutualBoost learning for selecting Gabor features for face recognition
โ Scribed by Linlin Shen; Li Bai
- Publisher
- Elsevier Science
- Year
- 2006
- Tongue
- English
- Weight
- 499 KB
- Volume
- 27
- Category
- Article
- ISSN
- 0167-8655
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This paper presents an online learning approach to video-based face recognition that does not make any assumptions about the pose, expressions or prior localization of facial landmarks. Learning is performed online while the subject is imaged and gives near realtime feedback on the learning status.
## Abstract Face recognition has always been a potential research area because of its demand for reliable identification of a human being especially in government and commercial sectors, such as security systems, criminal identification, border control, etc. where a large number of people interact