会议论文详细信息
Sustainable Buildings and Cities | |
Pubface: Celebrity face identification based on deep learning | |
土木建筑工程 | |
Ouanan, H.^1 ; Ouanan, M.^1 ; Aksasse, B.^1 | |
Dept. of Computer Science, ASIA Team, M2I Laboratory, Faculty of Science and Techniques, Errachidia, Morocco^1 | |
关键词: Deep convolutional neural networks; Face identification; Fine tuning; Neural network algorithm; Pose-invariant face recognition; Public space; Raspberry pi; Real-time application; | |
Others : https://iopscience.iop.org/article/10.1088/1757-899X/353/1/012022/pdf DOI : 10.1088/1757-899X/353/1/012022 |
|
学科分类:土木及结构工程学 | |
来源: IOP | |
【 摘 要 】
In this paper, we describe a new real time application called PubFace, which allows to recognize celebrities in public spaces by employs a new pose invariant face recognition deep neural network algorithm with an extremely low error rate. To build this application, we make the following contributions: firstly, we build a novel dataset with over five million faces labelled. Secondly, we fine tuning the deep convolutional neural network (CNN) VGG-16 architecture on our new dataset that we have built. Finally, we deploy this model on the Raspberry Pi 3 model B using the OpenCv dnn module (OpenCV 3.3).
【 预 览 】
Files | Size | Format | View |
---|---|---|---|
Pubface: Celebrity face identification based on deep learning | 649KB | download |