JIPS (한국정보처리학회)
Current Result Document :
| 한글제목(Korean Title) |
Evaluation of Histograms Local Features and Dimensionality Reduction for 3D Face Verification |
| 영문제목(English Title) |
Evaluation of Histograms Local Features and Dimensionality Reduction for 3D Face Verification |
| 저자(Author) |
Chouchane Ammar
Belahcene Mebarka
Ouamane Abdelmalik
Bourennane Salah
|
| 원문수록처(Citation) |
VOL 12 NO. 03 PP. 0468 ~ 0488 (2016. 09) |
한글내용
(Korean Abstract) |
|
영문내용
(English Abstract) |
The paper proposes a novel framework for 3D face verification using dimensionality reduction based on highly distinctive local features in the presence of illumination and expression variations. The histograms of efficient local descriptors are used to represent distinctively the facial images. For this purpose, different local descriptors are evaluated, Local Binary Patterns (LBP), Three-Patch Local Binary Patterns (TPLBP), Four- Patch Local Binary Patterns (FPLBP), Binarized Statistical Image Features (BSIF) and Local Phase Quantization (LPQ). Furthermore, experiments on the combinations of the four local descriptors at feature level using simply histograms concatenation are provided. The performance of the proposed approach is evaluated with different dimensionality reduction algorithms: Principal Component Analysis (PCA), Orthogonal Locality Preserving Projection (OLPP) and the combined PCA EFM (Enhanced Fisher linear discriminate Model). Finally, multi-class Support Vector Machine (SVM) is used as a classifier to carry out the verification between imposters and customers. The proposed method has been tested on CASIA-3D face database and the experimental results show that our method achieves a high verification performance.
|
| 키워드(Keyword) |
3D Face Verification
Depth Image
Dimensionality Reduction
Histograms Local Features
Local Descriptors
Support Vector Machine
|
| 파일첨부 |
PDF 다운로드
|
