A smart camera for face recognition
| Autor: | M. Reuvers, B. Krose, R. Kleihorst, H. Broers |
|---|---|
| Rok vydání: | 2005 |
| Předmět: |
Digital signal processor
business.product_category Pixel Biometrics business.industry Computer science ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Normalization (image processing) Facial recognition system Digital image processing Computer vision Artificial intelligence Smart camera business Image resolution Digital signal processing Digital camera |
| Zdroj: | ICIP |
| DOI: | 10.1109/icip.2004.1421706 |
| Popis: | There is a rapidly growing demand for using smart cameras for various biometric applications in surveillance. Although having a small form-factor, most of these applications demand huge processing performance for real-time processing. Face recognition is one of those applications. In this paper we show that we can run face recognition in real-time by implementing the algorithm on an architecture which combines a parallel pixel processor: with a digital signal processor. The algorithm consists of a cascade of filters for detection, registration and normalization and an RBF neural network with temporal filtering. Everything fits within a digital camera, the size of a normal surveillance camera. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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