IOS facial recognition Resources

Source: Internet
Author: User

Watched a video: Tat augmented ID, combined with face recognition, tracking, and augmented reality, amazing! For more information, click here. Unfortunately, this is just a concept that has not been specifically implemented, but it is just a matter of time, I think.

Therefore, we also want to get together with the excitement. Of course, we don't need to make it so complicated. The basic requirement is to recognize faces in real time on iOS devices. It is best to display the name and other information. Note that it is not a detection function.

I am new to iOS, and now I am on a long journey to explore.

1) The effect is similar to this. However, you can only see this on the skybiometry official website. An error occurs when you click to view the API.

2) A search on the Internet is about the face monitoring API provided by ios5.ArticleAlso, I'm excited to implement screen lock through my face. Study sample: squarecam immediately. It is not the same thing after studying for half a day. Ios5 is added with coreimage. squarecam mainly uses two classes: cidetector and cifacefeature. It can be used to detect the face, left and right eyes, and mouth position. The coordinate system of quartz and uikit is different. quartz is based on the coordinate origin in the lower left corner, and the origin of uikit is in the upper left corner. Therefore, the coordinate system must be transformed. The detection results are very good, but detect is not recognize. It seems that it must be used in combination with open-source libraries such as opencv.

3) opencv is too difficult for cainiao like me. Home page is here.

To implement face recognition on the camera, the simplest method is to use PCA (eigenfaces or principal component analysis) method, which provides a reference here.

The advantages and disadvantages of using PCA are described here.

4) Haha, I am a lazy person. I don't have to worry about it first, and then I want to see if there are any more effort-saving and efficient methods. Here we can see what Daniel has done. It's a little old to slam the facel here, but it's open-source in 09 years. Author David S. bolme and J. Ross
Beveridge from Colorado State University. facel is a one-stop software for video capturing, face tagging, training, and Recognition Based on the opencv pathon interface.

For more information about face recognition, see Face Recognition page, which contains many journals, papers, and resources on face recognition.

In short, there are many methods, and the next step is the time for action. You may encounter many problems. I hope you can complete this demo and update your blog occasionally.

What are your experiences and comments? Don't hesitate to give me a question:-d

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