“第二十章 人脸识别”版本间的差异
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（以“ ==教学资料== *教学参考 *[http://aigraph.cslt.org/courses/20/course-20.pptx 课件] *小清爱提问：机器如何识别人脸[https://...”为内容创建页面） |
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*[http://aigraph.cslt.org/courses/20/course-20.pptx 课件] | *[http://aigraph.cslt.org/courses/20/course-20.pptx 课件] | ||
*小清爱提问：机器如何识别人脸[https://mp.weixin.qq.com/s?__biz=Mzk0NjIzMzI2MQ==&mid=2247485675&idx=1&sn=9fee62f8c42378f9b7bdec33d44f1cb9&chksm=c3080229f47f8b3f4a5ac614508e815c57cadce283917e1b76f7af6b0c6ab1ee77041311541c&scene=178#rd] | *小清爱提问：机器如何识别人脸[https://mp.weixin.qq.com/s?__biz=Mzk0NjIzMzI2MQ==&mid=2247485675&idx=1&sn=9fee62f8c42378f9b7bdec33d44f1cb9&chksm=c3080229f47f8b3f4a5ac614508e815c57cadce283917e1b76f7af6b0c6ab1ee77041311541c&scene=178#rd] | ||
| − | + | *小清爱提问：人脸识别有哪些风险 [https://mp.weixin.qq.com/s?__biz=Mzk0NjIzMzI2MQ==&mid=2247484578&idx=1&sn=8a08da81c62acafd3f3edb08589c669a&chksm=c3080e60f47f8776558467cab16fa311373868feca151d9307715504daed745f6884830226e9&scene=178#rd] | |
==扩展阅读== | ==扩展阅读== | ||
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* 百度百科：脸盲症 [https://baike.baidu.com/item/%E8%84%B8%E7%9B%B2%E7%97%87/9604483?fr=aladdin] | * 百度百科：脸盲症 [https://baike.baidu.com/item/%E8%84%B8%E7%9B%B2%E7%97%87/9604483?fr=aladdin] | ||
* 听说你也有脸盲症？这可是病，治不好的那种！ [https://baike.baidu.com/tashuo/browse/content?id=5c9384dc4e1aa42f53359f25&lemmaId=9604483&fromLemmaModule=pcBottom&lemmaTitle=%E8%84%B8%E7%9B%B2%E7%97%87] | * 听说你也有脸盲症？这可是病，治不好的那种！ [https://baike.baidu.com/tashuo/browse/content?id=5c9384dc4e1aa42f53359f25&lemmaId=9604483&fromLemmaModule=pcBottom&lemmaTitle=%E8%84%B8%E7%9B%B2%E7%97%87] | ||
| + | * AMiner 报告：人脸识别报告[http://xqdoc.imedao.com/1671b7b4ad7285523fd90b4f.pdf] | ||
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==视频展示== | ==视频展示== | ||
* 为什么脸盲症会认不清人脸？ [http://baike.baidu.com/l/Lr9YBxuD] | * 为什么脸盲症会认不清人脸？ [http://baike.baidu.com/l/Lr9YBxuD] | ||
| + | * ArcFace 视频展示 [https://www.bilibili.com/video/av38041494?from=search&seid=11501833604850032313] | ||
==演示链接== | ==演示链接== | ||
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| + | * BetaFace: detect face and key points [https://www.betafaceapi.com/demo.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== | ||
| − | * | + | * Insight Face [https://github.com/deepinsight/insightface] |
| + | * Simple Face Recognition API [https://github.com/ageitgey/face_recognition] | ||
| + | * 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] | ||
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==高级读者== | ==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. [https://www.researchgate.net/profile/Tomaso-Poggio-2/publication/3192217_Face_Recognition_Features_Versus_Templates/links/09e4150e6e9231f489000000/Face-Recognition-Features-Versus-Templates.pdf] |
| + | * 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. [https://openaccess.thecvf.com/content_cvpr_2014/papers/Sun_Deep_Learning_Face_2014_CVPR_paper.pdf] | ||
| + | * Y. Taigman, M. Yang, M. Ranzato, and L. Wolf. DeepFace: Closing the gap to human-level performance in face verification. In Proc. CVPR, 2014.[https://openaccess.thecvf.com/content_cvpr_2014/papers/Taigman_DeepFace_Closing_the_2014_CVPR_paper.pdf] | ||
| + | * 王东，利节，许莎， 人工智能，第一章，认识你的脸，2019 [http://aibook.cslt.org] | ||
2023年8月13日 (日) 01:45的最后版本
教学资料
扩展阅读
视频展示
演示链接
开发者资源
- Insight Face [11]
- Simple Face Recognition API [12]
- Face recognoition with OpenCV [13][14]
- Face js: quick demo with JS [15]
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. [16]
- 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. [17]
- Y. Taigman, M. Yang, M. Ranzato, and L. Wolf. DeepFace: Closing the gap to human-level performance in face verification. In Proc. CVPR, 2014.[18]
- 王东，利节，许莎， 人工智能，第一章，认识你的脸，2019 [19]
