# MTCNN_face_detection_alignment **Repository Path**: daviddych/MTCNN_face_detection_alignment ## Basic Information - **Project Name**: MTCNN_face_detection_alignment - **Description**: Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Neural Networks - **Primary Language**: Matlab - **License**: MIT - **Default Branch**: master - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 0 - **Created**: 2020-03-28 - **Last Updated**: 2020-12-19 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README # MTCNN_face_detection_alignment Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Neural Networks ### Requirement 1. Caffe: Linux OS: https://github.com/BVLC/caffe. Windows OS: https://github.com/BVLC/caffe/tree/windows or https://github.com/happynear/caffe-windows 2. Pdollar toolbox: https://github.com/pdollar/toolbox 3. Matlab 2014b or later 4. Cuda (if use nvidia gpu) ### Results ![image](https://kpzhang93.github.io/MTCNN_face_detection_alignment/paper/examples.png) ![image](https://kpzhang93.github.io/MTCNN_face_detection_alignment/paper/result.png) ### Other implementation [C++ & caffe ](https://github.com/happynear/MTCNN_face_detection_alignment) (strongly recommend)
[Python & mxnet](https://github.com/pangyupo/mxnet_mtcnn_face_detection)
[Python & caffe](https://github.com/DuinoDu/mtcnn) ### Face Recognition Here we strongly recommend [Center Face](https://github.com/ydwen/caffe-face), which is an effective and efficient open-source tool for face recognition. ### Citation @article{7553523, author={K. Zhang and Z. Zhang and Z. Li and Y. Qiao}, journal={IEEE Signal Processing Letters}, title={Joint Face Detection and Alignment Using Multitask Cascaded Convolutional Networks}, year={2016}, volume={23}, number={10}, pages={1499-1503}, keywords={Benchmark testing;Computer architecture;Convolution;Detectors;Face;Face detection;Training;Cascaded convolutional neural network (CNN);face alignment;face detection}, doi={10.1109/LSP.2016.2603342}, ISSN={1070-9908}, month={Oct} } ### License This code is distributed under MIT LICENSE ### Contact Yu Qiao yu.qiao@siat.ac.cn
Kaipeng Zhang kpzhang@cmlab.csie.ntu.edu.tw