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Description: IEC 60364-1 Electrical installations of buildings - Fundamental principles, assessment of general
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Author: xveenxvaan@gmail.com |
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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).
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Author: 郑元义 |
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Description: 《FUNDAMENTALS OF SPEECH RECOGNITION（语音识别基本原理）》（英文），大家可以好好学习下-"FUNDAMENTALS OF SPEECH RECOGNITION (voice consensus other basic tenets) "(English), you can learn where
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Author: 赵靖 |
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Description: 语音情感是别中经常用到的基频F0和前三个共振峰F1F2F3的提取程序，并把引用的辅助函数nanmax.m，nanmean.m，nanmin.m一并附上。直接调用demo01.m即可。-emotional voice is not often used in the fundamental frequency F0 and the former three formant F1F2F3 the process of extraction, and the auxiliary function invoked nanmax.m, nanmean.m. nanmin.m accompanied. Demo01.m can call directly.
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Size: 523264 |
Author: lijin |
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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
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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
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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.
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Size: 3072 |
Author: suyu |
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Description: 基频调整程序，测试通过，已经可以使用，希望大家继续改进-Fundamental frequency adjustment procedures, the test has been available, I hope you will continue to improve
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Size: 1024 |
Author: 尤凤凯 |
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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.
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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
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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
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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.
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Size: 144384 |
Author: 马睿 |
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Description: 8kHz采样语音的基音检测程序，VC6.0环境下运行，附有matlab画图程序-8kHz sampling voice pitch detection procedures, VC6.0 environment running matlab with Paint program
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Size: 301056 |
Author: 李锐 |
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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.
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Size: 24576 |
Author: 陈忠翔 |
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Description: Fundamental of Speech Recognition by Rabiner and Juang.
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Size: 13272064 |
Author: Syed |
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Description: The Yin algorithm was developed by Alain de Cheveigné of IRCAM-CNRS and Hideki Kawahara of Wakayama University. It allows for real-time continuous (for each sample) fundamental frequency estimation.
It features a very low error rate and few tuning parameters.
This implementation is a C++ template, with EMM support for faster processing. Developped in Visual C++ 6.0, but should compile with other compilers.-The Yin algorithm was developed by Alain de Cheveigné of IRCAM-CNRS and Hideki Kawahara of Wakayama University. It allows for real-time continuous (for each sample) fundamental frequency estimation.
It features a very low error rate and few tuning parameters.
This implementation is a C++ template, with EMM support for faster processing. Developped in Visual C++ 6.0, but should compile with other compilers.
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Size: 12288 |
Author: _tika_ |
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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.
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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
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Size: 2048 |
Author: Maimouna |
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Description: Simple Browse是一款简洁易用，源码公开的图片浏览器。它短小精悍，浏览快速，生成的缩图精美漂亮，能浏览常见的多种图像格式。
它是仿照ACDSee而做的，样子和使用方法都挺象。但是有一点不同：在ACDSee里，浏览到缩图后，想看大图，要用View命令切换到另一个界面，有时候，这种做法不够方便；而Simple Browse的做法是，目录树、缩图文件列表和大图观看窗口，全放在一个界面中，省去切换的麻烦。
使用
Simple Browse的使用方法和ACDSee很象，不同之处在于把大图观看窗口放在界面的中央，观看大图时比ACDSee更方便。它实现的是一些最基本最常用的功能，包括：
（1） 浏览缩图，观看大图。
（2） 改变缩图的大小。
（3） 可将缩图保存在文件中，下次浏览时会快很多。
（4） 观看大图时，改变大图的缩放比例，改变窗口背景色。
（5） 浏览大图时，有方便的前进、后腿按钮。-Simple Browse is a simple to use, open-source browser picture. It dapper, quick browser, the thumbnail generation of exquisite beautiful, able to browse a variety of common image format.
It is modeled after ACDSee and do like and use, as could hang. However, there is one difference: in ACDSee, the visit to the thumbnail, the want to see large map, using View command to switch to another interface, and sometimes not enough to facilitate this practice Simple Browse and practice, the directory tree, reduce plans to enlarge the list of files and watch the window, all in one interface, eliminating the trouble of switching.
Use
Simple Browse and use much like ACDSee, the only difference is the window to watch on the big map of the central interface to see the larger more convenient than ACDSee. It is some of the most fundamental achievement of the most commonly used features, including:
(1) View thumbnail to see the larger image.
(2) to change the thumbnail size.
(3) can b
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Size: 534528 |
Author: xjc |
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Description: opencv 双目匹配下基线和基础矩阵的详细资料,英文原版.-Epipolar Geometry and the Fundamental Matrix
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Size: 238592 |
Author: wang |
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