Face API - 需要更多参考资料 [英] Face API - Need more reference material

查看:64
本文介绍了Face API - 需要更多参考资料的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!

问题描述

你好,我是b $ b我目前正在研究使用Face API的工程师学位项目,遗憾的是我没有太多的参考资料来解释face API的工作原理。你能告诉我在哪里可以找到更多解释"魔法"的材料吗? API
后面是什么?

最需要的东西是:b
- 它使用哪种算法?

- 执行"验证" ;选项比较地标之间的距离?



提前谢谢。



Hello,
I'm currently working on my engineer degree project which uses Face API, unfortunately there is not much of reference material I could use to explain how does face API work. Could you tell me where I can find more material explaining the "magic" behind the API?
The most needed things are:
-which algorithms it uses?
-does the "verify" option compare the distance between the landmarks?

Thank you in advance.


推荐答案

所以我的猜测是深度神经网络而且我说猜测,因为这些API的重点在于它们是未公开代码的API。 因此,要获得的一些想法,他们是如何工作的有CH9 https://channel9.msdn.com/Events/Cortana-Analytics-Suite/CA-Suite-Workshop-10-11SEP15/Deep-Neural-Networks看看这个会议

So my guess would be deep neural networks and I say guess because the whole point of these API's is that they are API's where the code is not exposed.  So to get some idea of how they work have a look at this session on ch9 https://channel9.msdn.com/Events/Cortana-Analytics-Suite/CA-Suite-Workshop-10-11SEP15/Deep-Neural-Networks

但我不能分享,因为这些信息有 未共享。 

but I can't share anymore than that, because this information has  not been shared. 


这篇关于Face API - 需要更多参考资料的文章就介绍到这了,希望我们推荐的答案对大家有所帮助,也希望大家多多支持IT屋!

查看全文
登录 关闭
扫码关注1秒登录
发送“验证码”获取 | 15天全站免登陆