Name
Title | ||
|---|---|---|
High-dimensional feature extraction using bit-plane decomposition of local binary patterns for robust face recognition. |
Abstract | ||
|---|---|---|
High dimensional feature extraction using MLBP maps is proposed.Each bit-plane decomposed from the MLBP has local-structure of the face image.Orthogonal LDA is applied to the high dimensional feature vector. Transforming an original image into a high-dimensional (HD) feature has been proven to be effective in classifying images. This paper presents a novel feature extraction method utilizing the HD feature space to improve the discriminative ability for face recognition. We observed that the local binary pattern can be decomposed into bit-planes, each of which has scale-specific directional information of the face image. Each bit-plane not only has the inherent local-structure of the face image but also has an illumination-robust characteristic. By concatenating all the decomposed bit-planes, we generate an HD feature vector with an improved discriminative ability. To reduce the computational complexity while preserving the incorporated local structural information, a supervised dimension reduction method, the orthogonal linear discriminant analysis, is applied to the HD feature vector. Extensive experimental results show that existing classifiers with the proposed feature outperform those with other conventional features under various illumination, pose, and expression variations. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1016/j.jvcir.2017.02.009 | J. Visual Communication and Image Representation |
Keywords | Field | DocType |
Face recognition,Feature extraction,Local binary pattern,High-dimensional feature,Linear discriminant analysis,Bit-plane decomposition | k-nearest neighbors algorithm,Computer vision,Feature vector,Dimensionality reduction,Pattern recognition,Feature (computer vision),Local binary patterns,Feature extraction,Feature (machine learning),Artificial intelligence,Kanade–Lucas–Tomasi feature tracker,Mathematics | Journal |
Volume | Issue | ISSN |
45 | C | 1047-3203 |
Citations | PageRank | References |
2 | 0.36 | 26 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| cheolhwan yoo | 1 | 5 | 2.76 |
| Seung-Wook Kim | 2 | 12 | 2.57 |
| June-Young Jung | 3 | 21 | 2.81 |
| Sung-Jea Ko | 4 | 1051 | 114.34 |