Viola–Jones object detection framework
id:
viola-jones-object-detection-framework-212-607990
title:
Viola–Jones object detection framework
text:
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. In short, it consists of a sequence of classifiers. Each classifier is a single perceptron with several binary masks. To detect faces in an image, a sliding window is computed over the image. For each image, the classifiers are
brand slug:
wiki
category slug:
encyclopedia
description:
Machine learning algorithm
original url:
https://en.wikipedia.org/wiki/Viola%E2%80%93Jones_object_detection_framework
date created:
2007-12-12T05:05:02Z
date modified:
2024-09-12T08:23:25Z
main entity:
{"identifier":"Q2493877","url":"https://www.wikidata.org/entity/Q2493877"}
image:
fields total:
13
integrity:
15