epipolar geometry

基本解釋

A method to determine mesh node displacement using Epipolar geometry is proposed.
提出了一種在對極幾何約束下來求取三角形網格結點位移的方法。
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.
這個平衡軸攝像系統(tǒng)運用簡易幾何學很容易的說明了兩圖像中物體頂點像素問題。
From the gradient field similarity of the two points, all pixels can be matched under the constraint of epipolar geometry.
從一點的某鄰域內梯度場相似性出發(fā)，利用極線約束完成全象素匹配。

對極幾何
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不變特性的灰度差分不變量并結合興趣點的DT結構在對極幾何限制下進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現(xiàn)多相機同時拍攝,對圖像中各輪廓線之間極線幾何關系的分析得到對應的相機參數(shù),實現(xiàn)目標物體的三維重建。
外極幾何關系