Kanade–Lucas–Tomasi feature tracker
id:
kanade-lucas-tomasi-feature-tracker-252-7534866
title:
Kanade–Lucas–Tomasi feature tracker
text:
In computer vision, the Kanade–Lucas–Tomasi (KLT) feature tracker is an approach to feature extraction. It is proposed mainly for the purpose of dealing with the problem that traditional image registration techniques are generally costly. KLT makes use of spatial intensity information to direct the search for the position that yields the best match. It is faster than traditional techniques for examining far fewer potential matches between the images.
brand slug:
wiki
category slug:
encyclopedia
description:
original url:
https://en.wikipedia.org/wiki/Kanade%E2%80%93Lucas%E2%80%93Tomasi_feature_tracker
date created:
date modified:
2023-03-16T17:58:41Z
main entity:
{"identifier":"Q6360193","url":"https://www.wikidata.org/entity/Q6360193"}
image:
fields total:
13
integrity:
13