iOS图像比较 [英] iOS image comparison

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本文介绍了iOS图像比较的处理方法,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

我只是对图像处理进行一些研究,如果有人能指出我的方向是正确的,我将不胜感激。我想比较图像'A',其是人脸的图片与存储在数据库-B,C,D,E等中的图像,这些图像也是脸部的图片。我想比较他们,看看人A是否已经在数据库中。

I am just doing some research into image processing and would appreciate it if someone could point me in the right direction. I want to compare image 'A' which is a picture of a person's face with image's stored in a database -B,C,D,E .. etc which are also pictures of faces. I want to compare them to see if the person 'A' is already in the database.

几个问题:

1.通常如何进行人脸识别比较? (你提取特征,例如眼睛/嘴巴,并将它们与其他图像比较?)。
2.是否有预构建的库能够在图像之间进行比较?或者我需要写我自己的算法?
3.我从哪里可以开始? (将喜欢一些参考文献/阅读材料)。

1.How is face recognition comparison usually done? (do you extract features e.g. eyes/mouth and compare them to other images?). 2. Are there prebuilt libraries that are able to do a comparison between images? or do i need to write my own algorithm? 3. Where can i start with this? (would appreciate some references/reading material).

推荐答案

我会为编译openCV的iPhone( http://computer-vision-talks.com/2011/02/building-opencv-for-iphone一键点击/ ),然后实现一个经典的方式来做面部识别像特征面( http://www.shervinemami.info/faceRecognition.html

I would go with compiling openCV for the iPhone ( http://computer-vision-talks.com/2011/02/building-opencv-for-iphone-in-one-click/ ), and then implementing one of the classical ways to do face recognition like eigenfaces ( http://www.shervinemami.info/faceRecognition.html )

但不要指望奇迹的准确性会低,应用程序会慢。

But don't expect miracles the accuracy will be low, and the app will be slow.


此外,当你说面部识别困难时,第一个链接显示在图片上检测脸部有多么容易?

Also when you say face recognition is difficult doesn't the first link show how easy it is to detect faces on a picture?

第一个链接的面部检测只是检测面部。它只是看看是否有一个面孔在图像,然后你可以作为输入的识别算法。

The face detection from the first link is just to detect the face. It is just to see if there is a face in the image, which then you can pass as input to the recognition algorithm.

这篇关于iOS图像比较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!

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