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翻訳と辞書　辞書検索 [ 開発暫定版 ] スポンサード リンク Essential matrix ： ウィキペディア英語版 Essential matrix In computer vision, the essential matrix is a $3\; \backslash times\; 3$ matrix, $\backslash mathbf$, with some additional properties described below, which relates corresponding points in stereo images assuming that the cameras satisfy the pinhole camera model. ==Function== More specifically, if $\backslash mathbf$ and $\backslash mathbf\text{'}$ are homogeneous ''normalized'' image coordinates in image 1 and 2, respectively, then :$(\backslash mathbf\text{'})^\backslash top\; \backslash ,\; \backslash mathbf\; \backslash ,\; \backslash mathbf\; =\; 0$ if $\backslash mathbf$ and $\backslash mathbf\text{'}$ correspond to the same 3D point in the scene. The above relation which defines the essential matrix was published in 1981 by Longuet-Higgins, introducing the concept to the computer vision community. Hartley & Zisserman's book reports that an analogous matrix appeared in photogrammetry long before that. Longuet-Higgins' paper includes an algorithm for estimating $\backslash mathbf$ from a set of corresponding normalized image coordinates as well as an algorithm for determining the relative position and orientation of the two cameras given that $\backslash mathbf$ is known. Finally, it shows how the 3D coordinates of the image points can be determined with the aid of the essential matrix. 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「Essential matrix」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.