In this tutorial, you will learn how to implement face recognition using the Eigenfaces algorithm, OpenCV, and scikit-learn. Surely you will have a completely different view after reading our article.
In this tutorial, you will learn how to implement face recognition using the Eigenfaces algorithm, OpenCV, and scikit-learn.
Our previous tutorial introduced the concept of face recognition — detecting the presence of a face in an image/video and then subsequently identifying the face.
We’re now going to learn how to utilize linear algebra, and more specifically, principal component analysis, to recognize faces.
This algorithm is important to understand from both a theoretical and historical perspective, so make sure you fully read the guide and digest it.
To learn how to implement Eigenfaces for face recognition, just keep reading.
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What is face recognition? Or what is recognition? When you look at an apple fruit, your mind immediately tells you that this is an apple fruit. This process, your mind telling you that this is an apple fruit is recognition in simple words. So what is face recognition then? I am sure you have guessed it right. When you look at your friend walking down the street or a picture of him, you recognize that he is your friend Paulo. Interestingly when you look at your friend or a picture of him you look at his face first before looking at anything else. Ever wondered why you do that? This is so that you can recognize him by looking at his face. Well, this is you doing face recognition. Face Recognition With OpenCV and Python
Learn how to apply Face Recognition using opencv python, anlong with a step up step project that allows facial attandance and records the faces with names.
Hey, this is the first article I am going to write on medium so as you have seen the title this is about Face-Recognition so let’s get…
Face Recognition is a trending technology at present. And today, we're going to learn face recognition and detection using the Python OpenCV.