“第二十章 人脸识别”版本间的差异
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* BetaFace: detect face and key points [https://www.betafaceapi.com/demo.html] | * BetaFace: detect face and key points [https://www.betafaceapi.com/demo.html] | ||
* Face detection[https://www.picpurify.com/demo-face-gender-age.html] | * Face detection[https://www.picpurify.com/demo-face-gender-age.html] | ||
| + | * Face analyzer [https://www.vicarvision.nl/products/online-facereader-demo/] | ||
==开发者资源== | ==开发者资源== | ||
2022年8月8日 (一) 10:15的版本
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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. [12]
- 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. [13]
- Y. Taigman, M. Yang, M. Ranzato, and L. Wolf. DeepFace: Closing the gap to human-level performance in face verification. In Proc. CVPR, 2014.[14]
- 王东，利节，许莎， 人工智能，第一章，认识你的脸，2019 [15]
