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Chinese translation for "fundamental matrix"

基本矩阵

Related Translations:
fundamentals:  概论基本因素;基本面商业成功的8大准则原理
fundamental product:  基本乘积
fundamental tissue:  基本组织
fundamental lattice:  基本点阵基本格子
fundamental study:  基本原理学习
fundamental constant:  基本常数基常数
fundamental conventions:  基本惯例
fundamental analysis:  基本分析法基本面分析基本因素分析;基础分析
fundamental breach:  根本违反合同根本违约根本性违约重大违约
fundamental chain:  基链母链主链
Example Sentences:
1.A new robust method for computing the fundamental matrix
投影三维重建中基础矩阵的鲁棒性估计方法
2.In addition , it does not need the computation of the projective depth and consequently the fundamental matrix
它无需估计投影深度,避免了基础矩阵计算的复杂性问题,因而也不受相机特殊运动的限制。
3.We give a constraint for conic correspondence only from fundamental matrix , and then we design an aigorithm for conic correspondence based on the constraint
我们仅从基本矩阵出发,给出了二次曲线匹配的约束,并设计出匹配算法,该算法是线性的。
4.Fundamental matrix and camera self - calibration are two key concepts , and model parameter estimation and implement of 3d reconstruction are main items as well
在三维重建中,基础矩阵和相机自定标是两个核心概念,模型参数估计和三维重建实现是主要研究内容。
5.The experiments show that the method proposed by us is more robust , comparing to the method of estimating projective depths based on fundamental matrix and epipolar points . 2
实验证明:相对于基于基本矩阵和极点方法来计算射影重构,本论文提出的算法对噪声具有更好的鲁棒性。
6.A method to estimate image corresponding and fundamental matrices simultaneously is presented , which reduces wrong correspondings and improves accuracy of estimated fundamental matrices
为了减少错误匹配和提高基本矩阵估计的精度,本文提出了同时计算特征点的匹配和估计基本矩阵的新方法。
7.To recover scene structure from motion , firstly the relation between sequential images must be set up through three steps as feature point extraction , corresponding matching and estimation of fundamental matrices
要恢复场景三维形状,首先必须建立序列图像之间的联系。其中包括特征点的提取,特征点的匹配以及基本矩阵的估计。
8.There are many key techniques in 3d reconstruction from uncalibrated image sequences , which are feature matching , fundamental matrix estimation , camera self - calibration , dense stereo matching and euclidean reconstruction
基于非定标图像序列三维重建研究涉及的关键技术有:特征匹配、基础矩阵估计、稠密匹配、相机自定标、欧氏重建等。
9.In this paper we discuss if two cameras have the same calibration matrix how to use some knowledge of scene ' s to stratified reconstruction from a pair of views . the key to the projective reconstruction is compute the fundamental matrix
本文研究在仅有两幅图像的条件下,如果摄像机内参数保持不变,如何利用场景中的结构信息对空间物体分层重构。
10.We analyze the essence of affine reconstruction and prove the sufficient conditions that a reversible matrix can be an infinite plane homography matrix and we can not uniquely decide an infinite plane homography matrix from fundamental matrix
详细分析了仿射重构的本质,证明了可逆矩阵为无穷远平面单应矩阵的充分条件,以及从基本矩阵无法唯一确定无穷远平面单应矩阵。
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