Name
Title | ||
|---|---|---|
Recognition of facial images with subspace projection and dissimilarity representation |
Abstract | ||
|---|---|---|
In this work, we present a framework for face recognition, combining face detection algorithm, dimensionality reduction method and a dissimilarity-based classifier. The face detection algorithm is intended to detect and extract faces in complex scenes, prior to face recognition. The Spectral Regression method, in sparse setting, is used for dimensionality reduction. The classification problem is solved by the Proximity Index ”Shape Coefficient” with SVM decision rules and Prototype Selection based classification. The results with real world experiments encourage us to propose this framework as good alternative to other face recognition methods. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/IDAACS.2011.6072793 | IDAACS |
Keywords | Field | DocType |
regression analysis,support vector machines,face recognition,image classification | Dimensionality reduction,Computer science,Artificial intelligence,Face detection,Contextual image classification,Classifier (linguistics),Computer vision,Facial recognition system,Pattern recognition,Object-class detection,Subspace topology,Support vector machine,Machine learning | Conference |
Volume | ISBN | Citations |
1 | 978-1-4577-1426-9 | 1 |
PageRank | References | Authors |
0.35 | 13 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| A. Manolova | 1 | 1 | 0.35 |
| K. Tonchev | 2 | 3 | 0.72 |
| Ognian Boumbarov | 3 | 14 | 3.71 |
| Ihor Paliy | 4 | 6 | 2.49 |