Name
Title | ||
|---|---|---|
Video-Based face verification with local binary patterns and SVM using GMM supervectors |
Abstract | ||
|---|---|---|
The classification task has a relevant importance in face verification systems and there are many approaches proposed to solve it. This paper shows a new approach for the classification task in video-based face verification systems using Support Vector Machines (SVM) as classifier and Gaussian Mixture Models (GMM) working as its kernel. The use of Local Binary Patterns (LBP) for face description, in conjunction with the generation of Gaussian supervectors as input points for the classifier, describes the temporal information contained in a video by a unique feature point, which seems to be a very compact and powerful form of representation. Our experimental results, performed on MOBIO database and protocol, shows the advantages of the proposed technique. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1007/978-3-642-31125-3_19 | ICCSA (1) |
Keywords | Field | DocType |
support vector machines,local binary pattern,face description,video-based face verification system,gmm supervectors,gaussian supervectors,classification task,gaussian mixture models,proposed technique,mobio database,local binary patterns,video-based face verification,face verification system | Kernel (linear algebra),Face verification,Pattern recognition,Computer science,Local binary patterns,Support vector machine,Gaussian,Artificial intelligence,Classifier (linguistics),Machine learning,Mixture model | Conference |
Volume | ISSN | Citations |
7333 | 0302-9743 | 1 |
PageRank | References | Authors |
0.41 | 14 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tiago F. Pereira | 1 | 1 | 0.41 |
| Marcus A. Angeloni | 2 | 47 | 3.59 |
| flavio olmos simoes | 3 | 28 | 2.66 |
| José Eduardo C. Silva | 4 | 1 | 0.41 |