“第二十章 人脸识别”版本间的差异
来自cslt Wiki
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* Insight Face [https://github.com/deepinsight/insightface] | * Insight Face [https://github.com/deepinsight/insightface] | ||
| − | * OpenCV [https://opencv.org/] | + | * Face recognoition with OpenCV [https://opencv.org/][https://docs.opencv.org/3.4/da/d60/tutorial_face_main.html] |
* Face js: quick demo with JS [https://justadudewhohacks.github.io/face-api.js/docs/index.html] | * Face js: quick demo with JS [https://justadudewhohacks.github.io/face-api.js/docs/index.html] | ||
2022年8月10日 (三) 04:32的版本
教学资料
扩展阅读
视频展示
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开发者资源
高级读者
- Brunelli R, Poggio T. Face recognition: Features versus templates[J]. IEEE transactions on pattern analysis and machine intelligence, 1993, 15(10): 1042-1052. [15]
- Sun Y, Wang X, Tang X. Deep learning face representation from predicting 10,000 classes[C]//Proceedings of the IEEE conference on computer vision and pattern recognition. 2014: 1891-1898. [16]
- Y. Taigman, M. Yang, M. Ranzato, and L. Wolf. DeepFace: Closing the gap to human-level performance in face verification. In Proc. CVPR, 2014.[17]
- 王东，利节，许莎， 人工智能，第一章，认识你的脸，2019 [18]
