Face description using electric virtual binary pattern (EVBP): application to face recognition
| Autor: | Abdellatif Dahmouni, Khalid Satori, Karim El Moutaouakil |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Pixel
Computer Networks and Communications Computer science Local binary patterns business.industry ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION 020207 software engineering Pattern recognition 02 engineering and technology Binary pattern Facial recognition system Hardware and Architecture Computer Science::Computer Vision and Pattern Recognition Face (geometry) 0202 electrical engineering electronic engineering information engineering Media Technology 020201 artificial intelligence & image processing Artificial intelligence Representation (mathematics) business Software |
| Zdroj: | Multimedia Tools and Applications. 77:27471-27489 |
| ISSN: | 1573-7721 1380-7501 |
| DOI: | 10.1007/s11042-018-5932-6 |
| Popis: | In this paper, we present a novel efficient face description method called Electric Virtual Binary Pattern (EVBP). The main idea of EVBP descriptor is to combine Local Binary Pattern (LBP) and our new Model based on the Virtual Electric Field. This model consider the neighborhood of each pixel as a grid of virtual electric charges that are electrostatically balanced. Then, we apply the LBP principle for this neighborhood to generate the new EVBP pixel representation. Based on the four trivial space directions, this representation is computed using the corresponding four electrical interactions. Moreover, the spatially enhanced Local Binary Pattern Histogram (eLBPH) algorithm is employed to extract features. Therefore, the proposed EVBP descriptor led to reduce the features vector size by 93.75%. Consequently, we moved from 255 bin-histograms for LBP to 16 bin-histograms for EVBP descriptor. Extensive experiments were carried on relevant databases have proved the effectiveness of the proposed approach. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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