epipolar geometry

基本解釋

A method to determine mesh node displacement using Epipolar geometry is proposed.
提出了一種在對(duì)極幾何約束下來求取三角形網(wǎng)格結(jié)點(diǎn)位移的方法。
This simplicity of the epipolar geometry of the camera system with parallel axis allows effortless identification of the top most points of object in two images.
這個(gè)平衡軸攝像系統(tǒng)運(yùn)用簡(jiǎn)易幾何學(xué)很容易的說明了兩圖像中物體頂點(diǎn)像素問題。
From the gradient field similarity of the two points, all pixels can be matched under the constraint of epipolar geometry.
從一點(diǎn)的某鄰域內(nèi)梯度場(chǎng)相似性出發(fā)，利用極線約束完成全象素匹配。

對(duì)極幾何
This thesis proposes a new image matching method using gray-level differential invariants and Delaunay Triangulation under the epipolar geometry constraints.
本文提出了利用具有旋轉(zhuǎn)不變特性的灰度差分不變量并結(jié)合興趣點(diǎn)的DT結(jié)構(gòu)在對(duì)極幾何限制下進(jìn)行圖像匹配的新方法。
極線幾何
The method uses angled plane mirror system to simulate multi camera shooting at the same time,we can get the corresponding camera parameters to realize the 3D reconstruction of the object by analyzing the epipolar geometry relationship between each silhouette.
利用成角度平面鏡裝置模擬實(shí)現(xiàn)多相機(jī)同時(shí)拍攝,對(duì)圖像中各輪廓線之間極線幾何關(guān)系的分析得到對(duì)應(yīng)的相機(jī)參數(shù),實(shí)現(xiàn)目標(biāo)物體的三維重建。
外極幾何關(guān)系