基于特征的多人脸识别问题 [英] Problems with Multiple Face recognition based on features

问题描述

好吧



对于大学项目，我们必须在android上创建一个人脸识别模块。所以我经历了一些关键和信息。在互联网上也获得了很多关于PCA，Eigen Faces，弹性束图等的信息。



现在关键是我已经完成了我的面部检测部分，并且面部识别我想到了使用不同的方法。因此，不是将测试图像与数据库中的特征面进行比较，而是可以在捕获的图像上创建面部图并计算人脸的各种特征的相对距离。从这个测量结果中，将生成一个长的字母数字键，如下所示：



EY1.8888NO4.1111LP0.8892CN8.64324ER



只有这个密钥被发送到服务器进行比较。我想它应该每次为同一个人生成相同的钥匙。



所以我迫切需要一个帮助，我怎么能做到这一点，哪个算法可以我使用和我需要采取什么样的预防措施，以及你对我的概念的看法（即它的好处??或只是废话）。

所以请帮帮我。

感谢Yoou

Well

For a college project, we have to create a Face recognition module on android. So i went through certain tuts and info. on internet and also got lots of information about PCA,Eigen Faces, Elastic bunch graph etc.

Now the point is i have already done my face detection portion, and for face recognition i thought of using a different approach. so instead of comparing test images to eigen faces in database, is it possible to create a face map on captured image and calculate the relative distance of various features of human face. And from this measurements a long alphanumeric key will be generated, something like this:

EY1.8888NO4.1111LP0.8892CN8.64324ER

And only this key is sent to the server for comparison. and i guess it should generate the same key for the same person every time.

So i desperately need a help, on how i can do this, which algo can i use and what sort of precautions i need to take and also your views on my concept (i.e. its good?? or just crap).
So please help me.
Thank Yoou

推荐答案

实时多面部检测和识别 [ ^ ]



使用这个样本文章，





用于比较，



获取检测到的图像的十六进制值。保存它，并将其与其他图像进行比较。

Multiple face detection and recognition in real time[^]

use this sample article,


for comparison ,

get hex values for detected images. save it, and compare it for further images.

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