Survey on Face Detection Algorithms


Authors : Anushka Jadhav; Surabhi Lone; Sagarika Matey; Tanvi Madamwar; Sumitra Jakhete

Volume/Issue : Volume 6 - 2021, Issue 2 - February

Google Scholar : http://bitly.ws/9nMw

Scribd : https://bit.ly/3kdj24K

This paper consists survey of some efficient face detection algorithms. Automatic face detection is a very complex problem in image processing and many methods and algorithms have been proposed for the same. Detection of faces is done efficiently from images, video and live video streaming using face detection algorithms.There are many techniques for face detection. This survey paper includes a general review on different face detection techniques. We have tried to explain a few particularly important algorithms like Cascade Classifier, Dlib CNN, Dlib HOG, MTCNN for face detection with their working, characteristics, advantages and disadvantages.

Keywords : Face detection, Cascade Classifier, Dlib CNN, Dlib HOG, MTCNN, deep learning.

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