blocks|key|2099671|text|看一看http://www.face-rec.org/algorithms/+--你会发现有很多种方法可以做到这一点。|type|unstyled|depth|inlineStyleRanges|entityRanges|offset|length|data|2099672|假设你想自己编写整个代码，你需要研究贝叶斯框架，神经网络，可能是数学上的，比如线性判别分析(LDA)和很酷的弹性束图匹配。|2099673|然而，值得注意的是，在世界各地有太多人对此进行了编码，现在可以随时使用，开源，现成的应用程序，apis和库，你可以简单地调用它们。或者你可以插入的神经网络-例如-+TiNA。|2099674|好好读一读--这是一个令人着迷的话题，然后决定你是想重新发明轮子(嘿，编写代码很有趣，但可能不是你想要关注的东西)，还是继承和扩展一些库或API。|2099675|享受吧！|2099676|entityMap|0|LINK|mutability|MUTABLE|url|http://www.face-rec.org/algorithms/|1|http://www.tina-vision.net/about.php^0|3|Z|0|0|0|2A|4|1|0|0|0^^$0|@$1|2|3|4|5|6|7|V|8|@]|9|@$A|W|B|X|1|Y]]|C|$]]|$1|D|3|E|5|6|7|Z|8|@]|9|@]|C|$]]|$1|F|3|G|5|6|7|10|8|@]|9|@$A|11|B|12|1|13]]|C|$]]|$1|H|3|I|5|6|7|14|8|@]|9|@]|C|$]]|$1|J|3|K|5|6|7|15|8|@]|9|@]|C|$]]|$1|L|3|-4|5|6|7|16|8|@]|9|@]|C|$]]]|M|$N|$5|O|P|Q|C|$R|S]]|T|$5|O|P|Q|C|$R|U]]]]

Have a look at <a href="http://www.face-rec.org/algorithms/" rel="noreferrer" title="http://www.face-rec.org/algorithms/">http://www.face-rec.org/algorithms/</a> - you'll see that there are a variety of ways of going about this.

Assuming you're wanting to code the whole thing yourself, you'll need to look into Bayesian Frameworks, Neural Networks, possibly maths ones like Linear Discriminant Analysis (LDA) and the cool-named Elastic Bunch Graph Matching.

However it's worth noting that there are sooo many people who have coded this around the world, that there are now ready to use, open source, off the shelf apps, apis and libraries that you can simply call. Or neural networks you can plug in - for example - <a href="http://www.tina-vision.net/about.php" rel="noreferrer" title="http://www.tina-vision.net/about.php">TiNA</a>.

Do a good bit of reading - it's a fascinating topic, and then decide whether you want to go through reinventing the wheel (hey, it's fun to code, but it may not be what you want to focus on) or whether you'll inherit and extend some library or API.

Enjoy!

blocks|key|1914778|text|试试这个：|type|unstyled|depth|inlineStyleRanges|entityRanges|data|1914779|OpenCV|offset|length|1914780|这应该可以帮助您完成人脸检测和对象识别项目|1914781|entityMap|0|LINK|mutability|MUTABLE|url|http://opencv.willowgarage.com/wiki/^0|0|0|6|0|0|0^^$0|@$1|2|3|4|5|6|7|P|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|Q|8|@]|9|@$D|R|E|S|1|T]]|A|$]]|$1|F|3|G|5|6|7|U|8|@]|9|@]|A|$]]|$1|H|3|-4|5|6|7|V|8|@]|9|@]|A|$]]]|I|$J|$5|K|L|M|A|$N|O]]]]

Try this:

<a href="http://opencv.willowgarage.com/wiki/" rel="nofollow noreferrer">OpenCV</a>

This should help you out with face detection and object recognition projects

blocks|key|611740|text|用于C#+OpenCvSharp的OpenCv|type|unstyled|depth|inlineStyleRanges|entityRanges|offset|length|data|611741|Face+detect的示例代码|611742|entityMap|0|LINK|mutability|MUTABLE|url|http://code.google.com/p/opencvsharp/|1|http://code.google.com/p/opencvsharp/source/browse/trunk/2.0/OpenCvSharp.Test/Samples/FaceDetect.cs^0|5|B|0|0|0|B|1|0^^$0|@$1|2|3|4|5|6|7|P|8|@]|9|@$A|Q|B|R|1|S]]|C|$]]|$1|D|3|E|5|6|7|T|8|@]|9|@$A|U|B|V|1|W]]|C|$]]|$1|F|3|-4|5|6|7|X|8|@]|9|@]|C|$]]]|G|$H|$5|I|J|K|C|$L|M]]|N|$5|I|J|K|C|$L|O]]]]

OpenCv for C# <a href="http://code.google.com/p/opencvsharp/" rel="nofollow noreferrer">OpenCvSharp</a>

Sample Code for <a href="http://code.google.com/p/opencvsharp/source/browse/trunk/2.0/OpenCvSharp.Test/Samples/FaceDetect.cs" rel="nofollow noreferrer">Face detect</a>

blocks|key|611758|text|我有一个OpenCV人脸检测和人脸识别(Haar人脸检测%2B直方图均衡%2B特征脸)教程和免费源代码，你可以尝试一下：http://www.shervinemami.info/faceRecognition.html|type|unstyled|depth|inlineStyleRanges|entityRanges|offset|length|data|611759|entityMap|0|LINK|mutability|MUTABLE|url|http://www.shervinemami.info/faceRecognition.html^0|1K|1D|0|0^^$0|@$1|2|3|4|5|6|7|L|8|@]|9|@$A|M|B|N|1|O]]|C|$]]|$1|D|3|-4|5|6|7|P|8|@]|9|@]|C|$]]]|E|$F|$5|G|H|I|C|$J|K]]]]

I have an OpenCV Face Detection and Face Recognition (Haar Face Detection + Histogram Equalization + Eigenfaces) tutorial and free source code that you could try: <a href="http://www.shervinemami.info/faceRecognition.html" rel="nofollow noreferrer">http://www.shervinemami.info/faceRecognition.html</a>

blocks|key|611947|text|您可以尝试ASM、AAM|type|unstyled|depth|inlineStyleRanges|entityRanges|data|611948|http://code.google.com/p/aam-opencv/|offset|length|611949|或者一些faceAPI|611950|http://www.seeingmachines.com/product/faceapi/|611951|http://www.luxand.com/facesdk/|611952|http://betaface.com/|611953|entityMap|0|LINK|mutability|MUTABLE|url|1|2|3^0|0|0|10|0|0|0|0|1A|1|0|0|U|2|0|0|K|3|0^^$0|@$1|2|3|4|5|6|7|X|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|Y|8|@]|9|@$D|Z|E|10|1|11]]|A|$]]|$1|F|3|G|5|6|7|12|8|@]|9|@]|A|$]]|$1|H|3|I|5|6|7|13|8|@]|9|@$D|14|E|15|1|16]]|A|$]]|$1|J|3|K|5|6|7|17|8|@]|9|@$D|18|E|19|1|1A]]|A|$]]|$1|L|3|M|5|6|7|1B|8|@]|9|@$D|1C|E|1D|1|1E]]|A|$]]|$1|N|3|-4|5|6|7|1F|8|@]|9|@]|A|$]]]|O|$P|$5|Q|R|S|A|$T|C]]|U|$5|Q|R|S|A|$T|I]]|V|$5|Q|R|S|A|$T|K]]|W|$5|Q|R|S|A|$T|M]]]]

you can try ASM,AAM

<a href="http://code.google.com/p/aam-opencv/" rel="nofollow">http://code.google.com/p/aam-opencv/</a>

or some faceAPI

<a href="http://www.seeingmachines.com/product/faceapi/" rel="nofollow">http://www.seeingmachines.com/product/faceapi/</a>

<a href="http://www.luxand.com/facesdk/" rel="nofollow">http://www.luxand.com/facesdk/</a>

<a href="http://betaface.com/" rel="nofollow">http://betaface.com/</a>

I like to mess around with AI and wanted to try my hand at face recognition the first step is to find the faces in the photographs. How is this usually done? Do you use convolution of a sample image/images or statistics based methods? How do you find the bounding box for the face? My goal is to classify the pictures of my kids from all the digital photos.

Thanks in advance.

Face Recognition for classifying digital photos?

翻译质量差，导致语言生硬或混乱。

没有提供实际的解决方法或示例。

解答不清晰，无法理解或解决问题。

页面排版不美观，阅读体验差。

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我喜欢摆弄人工智能，想尝试一下人脸识别，第一步是找到照片中的人脸。这通常是如何完成的？你是使用样本图像的卷积还是基于统计的方法？如何找到面的边界框？我的目标是从所有的数码照片中对我孩子的照片进行分类。提前谢谢。

问用于数码照片分类的人脸识别？
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