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Using OpenCV for Face Detection

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OpenCV is a very popular, free and open source software system used for a large variety of computer vision applications. This article is intended to help you get started in experimenting with OpenCV, using an example of face detection in images as a case study.

Face detection is a different, and much simpler task than facial recognition. Face detection uses a computer vision algorithm to detect the existence and location of face images within an image file. Facial recognition can be used to identify a person or match face images with each other.

This article assumes you have Linux installed and available to you and you can log in to the command line terminal.

Learning outcome

After viewing this training resource, users will be able to:

  • get started in experimenting with OpenCV
Interested in learning more?

Check out Using OpenCV for Face Detection

Go to this resource

Cite as

Mike Bryant (2019). Using OpenCV for Face Detection. Version 1.0.0. EHRI. [Training module]. https://github.com/EHRI/ehri-data-analysis-tools/tree/master/face_detection_with_opencv

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Resources hosted on DARIAH-Campus are subjects to the DARIAH-Campus Training Materials Reuse Charter

Full metadata

Title:
Using OpenCV for Face Detection
Authors:
Mike Bryant
Domain:
Social Sciences and Humanities
Language:
en
Published to DARIAH-Campus:
2/22/2023
Originally published:
8/27/2019
Content type:
Training module
Licence:
CCBY 4.0
Sources:
EHRI
Topics:
eHeritage, Data management, Data visualisation
Version:
1.0.0