multiple view geometry

基本解释

But we can obtain a realistic image by using multiple view geometry theory in computer vision to construct model based on images.
而利用计算机视觉中的多视图几何理论建立基于图象的模型，则不必过分依赖于场景的几何模型就可以生成真实感较强的图象。
So far, the algorithms of view interpolation based on images are involved in the estimation of multi parameters and image matching under multiple view geometry.
基于图像的视图插补技术涉及到多视图几何中的多参数估计、图像匹配等。

多视图几何
This paper goes deep into the research of the multiple view geometry, but mainly on two view 3D reconstruction.
本文对多视图几何的三维重建技术进行了深入的研究，重点研究了二视图几何的三维重建方法。
多视几何
Multiple view geometry focuses on the geometric interpretation of the different image relationships, but also presents a concise mathematical formalism that allows to derive the algebraic expressions explicitly in an elementary and uniform manner.
多视几何研究不同图像之间的几何关系，它提供了简洁的数学描述形式，由此可导出基本统一的代数表示式。
多视角几何关系

多视图几何
In this paper, we mainly discuss the technology of estimating the camera intrinsic parameters based on multiple view geometry, which includes the algorithms and experiments of fundamental matrix, camera self-calibration, etc.
本文从计算机视觉中的多视图几何理论出发，主要讨论摄像机内参数估计技术，包括基本矩阵、摄像机自标定等问题的算法与实验。