epipolar geometry

基本解释

A method to determine mesh node displacement using Epipolar geometry is proposed.
提出了一种在对极几何约束下来求取三角形网格结点位移的方法。
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.
这个平衡轴摄像系统运用简易几何学很容易的说明了两图像中物体顶点像素问题。
From the gradient field similarity of the two points, all pixels can be matched under the constraint of epipolar geometry.
从一点的某邻域内梯度场相似性出发，利用极线约束完成全象素匹配。

对极几何
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转不变特性的灰度差分不变量并结合兴趣点的DT结构在对极几何限制下进行图像匹配的新方法。
极线几何
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.
利用成角度平面镜装置模拟实现多相机同时拍摄,对图像中各轮廓线之间极线几何关系的分析得到对应的相机参数,实现目标物体的三维重建。
外极几何关系