Pose, illumination and expression invariant face recognition using laplacian of Gaussian and Local Binary Pattern
| Autor: | Vandit Thakkar, Palak Patel, Rachna Gupta, Pradip Panchal |
|---|---|
| Rok vydání: | 2015 |
| Předmět: |
Pixel
business.industry Local binary patterns Feature extraction ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Histogram matching Pattern recognition Blob detection Facial recognition system Computer Science::Computer Vision and Pattern Recognition Histogram Computer vision Artificial intelligence Invariant (mathematics) business Mathematics |
| Zdroj: | 2015 5th Nirma University International Conference on Engineering (NUiCONE). |
| DOI: | 10.1109/nuicone.2015.7449622 |
| Popis: | This paper presents an effective approach for the application of Face Recognition using Local Binary Pattern operator. The face image is firstly divided in to the sub regions to generate the locally enhanced Local Binary Histogram, which provide the features information on pixel level by creating LBP labels for histogram. Global Local Binary Histogram for the entire face image is obtained by concatenating all the individual local histograms. As a pre-processing technique the differential excitation of pixel is used to make the algorithm invariant to the illumination changes. The performance of the algorithm is verified under constrains like pose, illumination and expression variation. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|