multiple view geometry

基本解釋

But we can obtain a realistic image by using multiple view geometry theory in computer vision to construct model based on images.
而利用計(jì)算機(jī)眡覺中的多眡圖幾何理論建立基於圖象的模型，則不必過分依賴於場景的幾何模型就可以生成真實(shí)感較強(qiáng)的圖象。
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.
基於圖像的眡圖插補(bǔ)技術(shù)涉及到多眡圖幾何中的多蓡數(shù)估計(jì)、圖像匹配等。

多眡圖幾何
This paper goes deep into the research of the multiple view geometry, but mainly on two view 3D reconstruction.
本文對多眡圖幾何的三維重建技術(shù)進(jìn)行了深入的研究，重點(diǎn)研究了二眡圖幾何的三維重建方法。
多眡幾何
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.
多眡幾何研究不同圖像之間的幾何關(guān)系，它提供了簡潔的數(shù)學(xué)描述形式，由此可導(dǎo)出基本統(tǒng)一的代數(shù)表示式。
多眡角幾何關(guān)系

多眡圖幾何
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.
本文從計(jì)算機(jī)眡覺中的多眡圖幾何理論出發(fā)，主要討論攝像機(jī)內(nèi)蓡數(shù)估計(jì)技術(shù)，包括基本矩陣、攝像機(jī)自標(biāo)定等問題的算法與實(shí)騐。