Automatic Face Recognition System Using Iso-Geodesic Curves in Riemanian Manifold
| Autor: | Bouzid Manaut, Rachid Ahdid, Mohamed Fakir, Khaddouj Taifi, Said Said |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Geodesic
Artificial neural network business.industry Computer science ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Pattern recognition 010103 numerical & computational mathematics 02 engineering and technology Riemannian geometry 01 natural sciences Facial recognition system Manifold Support vector machine symbols.namesake ComputingMethodologies_PATTERNRECOGNITION Computer Science::Computer Vision and Pattern Recognition Face (geometry) 0202 electrical engineering electronic engineering information engineering symbols 020201 artificial intelligence & image processing Artificial intelligence 0101 mathematics Representation (mathematics) business ComputingMethodologies_COMPUTERGRAPHICS |
| Zdroj: | 2017 14th International Conference on Computer Graphics, Imaging and Visualization. |
| DOI: | 10.1109/cgiv.2017.25 |
| Popis: | In this paper, we present an automatic 3D face recognition system. This system is based on the representation of human faces surfaces as collections of Iso-Geodesic Curves (IGC) using 3D Fast Marching algorithm. To compare two facial surfaces, we compute a geodesic distance between a pair of facial curves using a Riemannian geometry. In the classifying step, we use: Neural Networks (NN), K-Nearest Neighbor (KNN) and Support Vector Machines (SVM). To test this method and evaluate its performance, a simulation series of experiments were performed on 3D Shape REtrieval Contest 2008 database (SHREC2008). |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|