Research on Face Detection based on Deep Learning
| Autor: | Guotao Zhuang, Gongli Luo, Wencang Zhao |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
021110 strategic
defence & security studies business.industry Computer science Carry (arithmetic) Deep learning Detector 0211 other engineering and technologies 02 engineering and technology Convolutional neural network Face (geometry) 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Computer vision Artificial intelligence Face detection business |
| Zdroj: | DEStech Transactions on Computer Science and Engineering. |
| ISSN: | 2475-8841 |
| DOI: | 10.12783/dtcse/csae2017/17479 |
| Popis: | Aiming at the shortcomings of the traditional face detection algorithm, in this paper, the author used the convolution neural network model of the deep learning method, and designed the face detector based on the selective search strategy and the improved Alexnet convolution neural network. Experiments showed that the detector can better carry out the positioning of the facial features, improve the detection rate, reduce the missed detection rate. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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