Viola–Jones Object Detection Framework

The Viola–Jones object detection framework
is a machine learning object detection framework proposed in 2001
by Paul Viola and Michael Jones.

It was motivated primarily by the problem of face detection,
although it can be adapted to the detection of other object classes.

Haar-Like Features Classifier

Integral Image

Learning Algorithm: AdaBoost

Cascade Architecture

Last Updated on 2023/08/16 by A1go