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How face recognition works
Live Session#Business Case Study

How face recognition works?

Learn how does face recognition works and create a project using OpenCV, Neural networks, and Convolution Neural Networks ..

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Description

A facial recognition system is a technology capable of matching a human face from a digital image or a video frame against a database of faces, typically employed to authenticate users.

While humans can recognize faces without much effort, facial recognition is a challenging pattern recognition problem in computing. Facial recognition systems attempt to identify a human face, which is three-dimensional and changes in appearance with lighting and facial expression, based on its two-dimensional image. To accomplish this computational task, facial recognition systems perform four steps. First face detection is used to segment the face from the image background. In the second step, the segmented face image is aligned to account for face pose, image size, and photographic properties, such as illumination and grayscale. The purpose of the alignment process is to enable the accurate localization of facial features in the third step, the facial feature extraction. Features such as eyes, nose, and mouth are pinpointed and measured in the image to represent the face. The so established feature vector of the face is then, in the fourth step, matched against a database of faces.


Facial Recognition Technology: Where is it being used, and how does the  technology work? – Altabel Group's Blog




Chapter 1

How face recognition works?

1.1 What is Face Recognition?
1.2 Applications of Face Recognition
Chapter 2

What is Computer Vision?

NoteBook
Chapter 1

How face recognition works?

1.1 What is Face Recognition?
1.2 Applications of Face Recognition
Chapter 2

What is Computer Vision?

Notebook

1. How face recognition works?

Chapter 1 How face recognition works?

1.1 What is Face Recognition?

A facial recognition system is a technology capable of matching a human face from a digital image or a video frame against a database of faces, typically employed to authenticate users.

While humans can recognize faces without much effort, facial recognition is a challenging pattern recognition problem in computing. Facial recognition systems attempt to identify a human face, which is three-dimensional and changes in appearance with lighting and facial expression, based on its two-dimensional image. To accomplish this computational task, facial recognition systems perform four steps. First face detection is used to segment the face from the image background. In the second step, the segmented face image is aligned to account for face pose, image size, and photographic properties, such as illumination and grayscale. The purpose of the alignment process is to enable the accurate localization of facial features in the third step, the facial feature extraction. Features such as eyes, nose, and mouth are pinpointed and measured in the image to represent the face. The so established feature vector of the face is then, in the fourth step, matched against a database of faces.

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How face recognition works?


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