翻訳と辞書 Words near each other ・ Kanacea ・ Kanach Zham ・ Kanachaur ・ Kanachut ・ Kanad ・ Kanada ・ Kanada (philosopher) ・ Kanada (raga group) ・ Kanada (surname) ・ Kanada, Fukuoka ・ Kanada-malja ・ Kanadan Sanomat ・ Kanadaseaga ・ Kanadbak ・ Kanadehon Chūshingura ・ Kanade–Lucas–Tomasi feature tracker ・ Kanadi Budruk ・ Kanadi kingfish ・ Kanadi village (Chandgad taluka) ・ Kanadukathan ・ Kanae ・ Kanae Aoki ・ Kanae Hisami ・ Kanae Ikehata ・ Kanae Itō ・ Kanae Minato ・ Kanae Oki ・ Kanae Station ・ Kanae Yagi ・ Kanae Yamabe Dictionary Lists mini英和辞書 mini和英辞書 Webster 1913 Latin-English FOLDOC Wikipedia English ウィキペディア

翻訳と辞書　辞書検索 [ 開発暫定版 ] スポンサード リンク Kanade–Lucas–Tomasi feature tracker ： ウィキペディア英語版 Kanade–Lucas–Tomasi feature tracker 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. ==The registration problem== The translational image registration problem can be characterized as follows: Given two functions $F(x)$ and $G(x)$, representing values at each location $x$, where $x$ is a vector, in two images, respectively, we wish to find the disparity vector $h$ that minimizes some measure of the difference between $F(x+h)$ and $G(x)$, for $x$ in some region of interest $R$. Some measures of the difference between $F(x+h)$ and $G(x)$: * L1 norm = $\backslash sum\_\backslash left\backslash vert\; F(x+h)-G(x)\; \backslash right\backslash vert$ * L2 norm = $\backslash sqrt\}$ * Negative of normalized correlation = $\backslash dfrac\}\backslash sqrt\}\}$ 抄文引用元・出典: フリー百科事典『 ウィキペディア（Wikipedia）』 ■ウィキペディアで「Kanade–Lucas–Tomasi feature tracker」の詳細全文を読む スポンサード リンク 翻訳と辞書 : 翻訳のためのインターネットリソース Copyright(C) kotoba.ne.jp 1997-2016. All Rights Reserved.