Matlab/Python 中的面部识别
我是面部识别新手。我正在开发一个项目,其中我有一个训练数据库,其中仅包含一个人的图像(没有不同表情/灯光等的重复,就像网上很多地方的情况一样),然后将另一张图像发送到与该数据库进行比较。我无法控制这些照片中人物的灯光/姿势。
我们有一个学校图像数据库,我正在尝试制作一个应用程序,您可以在其中拍照,它会扫描学校数据库并识别您的身份。目前我正在 MATLAB 中使用 PCA 脚本 ,但它似乎效果不太好,因为它识别了错误的人。
所以我想知道根据我的设置是否有更好的方法来做到这一点?
I am new to facial recognition. I am working on a project in which I have a training database that only contains one image of the person (no duplication of different expressions/lighting etc, as seems to be the case a lot of places online) and then another image is sent to be compared against this database. I can't control the lighting/pose of the people in these pictures.
We have a school database of images and I am trying to make an app where you could take your picture and it would scan the school database and identify you. Currently I am using a PCA script in MATLAB, but it doesn't seem to work that well as it identifies the wrong person.
So I'm wondering is there a better way to do this given my setup?
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您读过这篇关于人脸识别的教程和代码吗?它是在 OpenCV 中实现的。由于 OpenCV 拥有 python API,因此转换为 python 也会更容易。
或者访问 face-rec.org 使用 Eigen faces 方法和 Fisher 实现人脸识别人脸方法以及人脸识别的各种信息,数据集等。
Have you read this tutorial and code on face recognition? It is implemented in OpenCV. And it will be easier to convert to python also as OpenCV got python API.
Or visit face-rec.org for face recognition implementation using both Eigen faces method and Fisher faces method and also, all kinds of information on face recognition,data set etc.