Combined approach using artificial vision and neural networks for facial recognition
| Autor: | Marcela Jamett Dominguez, William Gutierrez Pezoa |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
050210 logistics & transportation
Artificial neural network Computer science business.industry 05 social sciences ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION 02 engineering and technology Facial recognition system Backpropagation Visualization Robustness (computer science) Artificial vision 0502 economics and business 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Computer vision Artificial intelligence MATLAB business computer computer.programming_language Gesture |
| Zdroj: | 2017 CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies (CHILECON). |
| DOI: | 10.1109/chilecon.2017.8229697 |
| Popis: | An application of artificial vision and artificial neural networks techniques in face recognition, is presented. In order to do that, a set of images (frontal face photos) with different lighting conditions, gestures, accessories and distances is used. A stepwise algorithm allows to achieve a satisfactory results, obtaining the correct identification of images inside and outside the data set. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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