Description: Gandalf软件（含源码）主要用于计算机视觉分析与相关数字分析。用C语言编写。Gandalf is a computer vision and numerical algorithm library, written in C, which allows you to develop new applications that will be portable and run FAST. Includes many useful vision routines, including camera calibration, homographies, fundamental matrix computation, and feature detectors (includes source code).
-CODE GANDALF (including source code) are used mainly for computer-related visual analysis and statistical analysis. C language. Ivanov is a computer vision and numerical algo abbreviation library, written in C, which allows you to develop new applications th at will be portable and run FAST. Includes many u seful vision routines. including camera calibration, homographies. fundamental matrix computation, and feature detectors (includes source code). Platform: |
Size: 4782080 |
Author:郑元义 |
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Description: robustly fits an affine fundamental matrix to a set of putatively matched image points-robustly fits an affine fundamental matri x to a set of putatively matched image points Platform: |
Size: 2048 |
Author:suyu |
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Description: robustly fits a fundamental matrix to a set of putatively matched image points. This function uses an 8 point fundamental matrix solution-robustly fits a fundamental matrix to a set of putatively matched image points. This funct ion uses an eight point fundamental solution matrix Platform: |
Size: 2048 |
Author:suyu |
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Description: robustly fits a fundamental matrix to a set of putatively matched image points.-robustly fits a fundamental matrix to a set of putatively matched image points. Platform: |
Size: 3072 |
Author:suyu |
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Description: there are two parts in these codes. the first implements an eight point algorithm which is used to compute the fundamental matrix in computer vision. the second is used to compute the optical flow and the unreliable region. Platform: |
Size: 347136 |
Author:heavenflames |
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Description: C++ code implementing the estimation of errors-in-variables models under point dependent noise. It includes examples for linear, ellipse, fundamental matrix and trifocal tensor estimation. The theory is described in A general method for errors-in-variables problems in computer vision-err Platform: |
Size: 77824 |
Author:ly |
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Description: 一个C#的矩阵类，可以实现矩阵的一些基本运算，完成matlab中的矩阵操作-A C# Matrix type, you can realize some of the fundamental matrix computation, the completion of the matrix operation in matlab Platform: |
Size: 44032 |
Author:孙浩 |
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Description: 通过引入与余差有关的代价函数,给出了一种高精度估计基础矩阵的线性算法——加权平移算法.首先
将原始输入数据加权,计算加权后数据的重心坐标,将坐标原点平移到该重心坐标,再作归一化处理.然后用8点
算法求出基础矩阵F阵的8个参数,实现了F阵的高精度估计.实验结果表明,此算法具有良好的鲁棒性,且余差
和对极距离都小于其他线性算法,提高了基础矩阵的精度. -Through the introduction of residual error associated with the cost function, gives a high-precision estimates based on linear matrix algorithm- weighted translation algorithm. First of all, the original input data weighted to calculate the weighted center of gravity after the data coordinates, will be moved to the coordinates origin Ping The center of gravity coordinates, re-normalized. and then use the 8 point algorithm to derive the fundamental matrix F array eight parameters, the achievement of the F array of high-precision estimates. The experimental results show that this algorithm has good robustness, and residual error and the distance is less than most other linear algorithms, improve the accuracy of the fundamental matrix. Platform: |
Size: 144384 |
Author:马睿 |
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Description: 本程序主要是关于求解基础矩阵的，比较简单 主要采用opencv函数库编程。大家可以下下来参考下。-This procedure is mainly on solving the fundamental matrix, and mainly uses a relatively simple programming opencv library. We can refer to the following down under. Platform: |
Size: 24576 |
Author:陈忠翔 |
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Description: 本文提出了一种新的跨国家的障碍
检测技术为基础的立体视觉系统。
原始图像的预处理的高斯
过滤器和对比度限制的自适应直方图
均衡（ CLAHE ）方法来削弱作用 噪音，光线和对比度。哈里斯的角落位于与子像素精确。
-Cross-country intelligent vehicles always work in
complicated environments with varying illuminations.
The paper presents a new cross-country obstacle
detection technology based on stereo vision system.
The original images are preprocessed by Gaussian
filter and contrast-limited adaptive histogram
equalization (CLAHE) method to weaken the effect of
noise, light and contrast. Harris corners are located
with sub-pixel accurate. To guarantee the overall
system real-time performance, feature-based matching
techniques are studied and fundamental matrix is
calculated based on random sample consensus
(RANSAC). Also restrains are studied to eliminate
pseudo matching pairs. Then data interpolation is
introduced to build elevation maps. Edge extraction
and morphological processing are concerned to
accomplish obstacle detection. Experiment results for
different conditions are presented in support of the
obstacle detection technology. Platform: |
Size: 971776 |
Author:晓翠 |
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Description: This program implements camera calibration on supposed values and computes camera fundamental matrix using 8-points algorithm Developed by Maimouna Al-ammar & Hiba Al-younes
May, 2009 -This program implements camera calibration on supposed values and computes camera fundamental matrix using 8-points algorithm Developed by Maimouna Al-ammar & Hiba Al-younes
May, 2009 Platform: |
Size: 2048 |
Author:Maimouna |
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Description: The 8 points algorithm.
The linear method for estimating the fundamental matrix proposed by Longuet-Higgins 81 Platform: |
Size: 4811776 |
Author:Guilherme |
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Description: 英文文献，主要讲述图像转换基础矩阵的建立，很难找的。-English literature, the main image conversion fundamental matrix describes the establishment, it is difficult to find. Platform: |
Size: 1680384 |
Author:dnegel |
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Description: Matlab function to find fundamental matrix using the seven point algorithm. Returns upto 3 solutions. Platform: |
Size: 1024 |
Author:oirapus |
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Description: RANSAC implementation for fundamental matrix computation using the seven point algorithm. Returns inliers and best F estimate. Platform: |
Size: 1024 |
Author:oirapus |
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Search - Fundamental matrix