Synthetically occluded face recognition using local complex binary pattern
| Autor: | Sanjay Kumar Maurya, Gauri Agrawal |
|---|---|
| Rok vydání: | 2014 |
| Předmět: |
business.industry
Local binary patterns Feature extraction ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Pattern recognition Binary pattern Facial recognition system Robustness (computer science) Face (geometry) Occlusion Feature (machine learning) Computer vision Artificial intelligence business Mathematics |
| Zdroj: | 2014 International Conference on Data Mining and Intelligent Computing (ICDMIC). |
| DOI: | 10.1109/icdmic.2014.6954264 |
| Popis: | In real world applications of face recognition system occlusion is always a big challenge. This paper presents an approach using hybrid combination of DT-CWT and LBP for feature extraction to deal with various occlusion. The DT-CWT focuses on global scale invariant feature however LBP emphasis on local structure of face image .The proposed approach are tested for synthetically created occlusion at eyes, mouth, upper face ,lower face, which are general occlusion that is encountered in real world applications. The experimental result of recognition shows the robustness and effectiveness of proposed local complex binary pattern (LCBP) under different occlusion. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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