Location:
Search - stereo matrix
Search list
Description: 是一个立体计算机视觉方面的匹配代码，可以实现m矩阵的计算，对三维重建还有帮助，精度不错的哦-is a three-dimensional computer vision of matching code, can achieve m matrix calculation, Three-dimensional reconstruction of help there, oh, good accuracy
Platform: |
Size: 60416 |
Author: 让他 |
Hits:
Description: 立体视觉中本质矩阵的计算，利用VC+OPEN CV实现-Stereo vision in the nature of matrix calculation, using VC+ OPEN CV realize
Platform: |
Size: 398336 |
Author: 鹿角菜 |
Hits:
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 |
Hits:
Description: 双目视觉，基本矩阵工具箱，外极几何。matlab代码，包含一些小算法-Stereo vision, fundamental matrix Toolbox.Epipolar Geometry
Platform: |
Size: 5603328 |
Author: Young |
Hits:
Description: 计算机视觉作业，实现两幅图片中的极线、极点计算和基础矩阵的求取。-Computer vision homework.It is to calculate the polar, pole and the fundamental matrix calculation between two image.
Platform: |
Size: 24307712 |
Author: 董亚锋 |
Hits:
Description: 本算法在Matlab2008b 环境下实现了立体视觉中摄像机的基础矩阵计算。包括main, sevenPoint、eightpoint 和eightpoint_norm三个函数。
main.m 是程序的入口，包括生成和读入实验数据，分别调用sevenPoint、eightpoint 和eightpoint_norm 三个函数求基础矩阵，最后绘制出最后的结果。sevenPoint.m 是用7 点法求解基础矩阵。eightpoint.m 是用8 点法求解基础矩阵，eightpoint_norm.m 是数据规格化后的8 点法求解基础矩阵。-The algorithm is implemented in Matlab2008b environment based stereo vision camera matrix calculations. Including the main, sevenPoint, eightpoint and eightpoint_norm three functions.
main.m is the entry, including the generation and reading test data were calling sevenPoint, eightpoint and eightpoint_norm three fundamental matrix function evaluation, and finally draw the final result. sevenPoint.m 7 method is based on matrix. eightpoint.m 8-point method is based on matrix, eightpoint_norm.m the data after the 8-bit normalized fundamental matrix method.
Platform: |
Size: 3213312 |
Author: qqqqqq |
Hits:
Description: 用于双目立体图像匹配：用surf提取特征点、Flann匹配、RANSAC计算基本矩阵完成立体图像对的极线校正，用opencv实现-For binocular stereo image matching feature extraction point: surf, Flann matching, RANSAC calculation of the completion of the fundamental matrix the epipolar rectification of the stereo image pairs with opencv
Platform: |
Size: 3072 |
Author: guonan |
Hits:
Description: 用于立体图像矫正:Harries角点、NCC匹配、RANSAC计算基本矩阵完成立体图像对的极线校正，自己书写的opencv函数-For three-dimensional image correction: Harries corner NCC matching, RANSAC calculation of the completion of the fundamental matrix the epipolar rectification of the stereo image pairs own writing opencv function
Platform: |
Size: 12288 |
Author: guonan |
Hits:
Description: 立体视觉相关的程序，这部分需要先了解图像和摄像机之间的对立关系，并对极线几何比较了解，先把原理熟悉了以后，具体到编程上就会轻松一点，整体还是比较耗时的。具体来说，程序使用SSD得到匹配点，然后根据匹配点计算出基本矩阵，最后计算出匹配点相关的极线-Stereo vision procedure, this part of the need to understand the antagonistic relationship between the image and the camera, and a better understanding of epipolar geometry, the first principle is familiar, specific to the programming will be a little easier, overall it is quite time-consuming . Specifically, the program uses the SSD to give the matching point, a fundamental matrix is 琠栀攀渀 calculated according to the matching point, the final calculation of the matching points relevant to the lines
Platform: |
Size: 2971648 |
Author: |
Hits:
Description: A novel multipath matrix algorithm for exact room response identification in stereo echo cancellation.pdf自己编写的这篇英文文献代码-A novel multipath matrix algorithm for exact room response identification in stereo echo cancellation.pdf English literature I have written this code
Platform: |
Size: 241664 |
Author: qiusha |
Hits:
Description: LIBVISO2: C++ Library for Visual Odometry 2LIBVISO2 (Library for Visual Odometry 2) is a very fast cross-platfrom (Linux, Windows) C++ library with MATLAB wrappers for computing the 6 DOF motion of a moving mono/stereo camera. The stereo version is based on minimizing the reprojection error of sparse feature matches and is rather general (no motion model or setup restrictions except that the input images must be rectified and calibration parameters are known). The monocular version is still very experimental and uses the 8-point algorithm for fundamental matrix estimation.-LIBVISO2: C++ Library for Visual Odometry 2LIBVISO2 (Library for Visual Odometry 2) is a very fast cross-platfrom (Linux, Windows) C++ library with MATLAB wrappers for computing the 6 DOF motion of a moving mono/stereo camera The stereo version is. based on minimizing the reprojection error of sparse feature matches and is rather general (no motion model or setup restrictions except that the input images must be rectified and calibration parameters are known). The monocular version is still very experimental and uses the 8-point algorithm for fundamental matrix estimation.
Platform: |
Size: 3335168 |
Author: 李志滨 |
Hits:
Description: 这是KLT算法论文的高清版。Kanade-Lucas-Tomasi方法，在跟踪方面表现的也不错，尤其在实时计算速度上，用它来得到的，是很多点的轨迹“trajectory”，并且还有一些发生了漂移的点，所以，得到跟踪点之后要进行一些后期的处理，说到Kanade-Lucas-Tomasi方法，首先要追溯到Kanade-Lucas两人在上世纪80年代发表的paper：An Iterative Image Registration Technique with an Application to Stereo Vision，这里讲的是一种图像点定位的方法，即图像的局部匹配，将图像匹配问题，从传统的滑动窗口搜索方法变为一个求解偏移量d的过程，后来Jianbo Shi和Carlo Tomasi两人发表了一篇CVPR(94 )的文章Good Features To Track，这篇文章，主要就是讲，在求解d的过程中，哪些情况下可以保证一定能够得到d的解，这些情况的点有什么特点（后来会发现，很多时候都是寻找的角点）。-KLT is an implementation, in the C programming language, of a feature tracker for the computer vision community. The source code is in the public domain, available for both commercial and non-commerical use.
The tracker is based on the early work of Lucas and Kanade [1], was developed fully by Tomasi and Kanade [2], and was explained clearly in the paper by Shi and Tomasi [3]. Later, Tomasi proposed a slight modification which makes the computation symmetric with respect to the two images-- the resulting equation is derived in the unpublished note by myself [4]. Briefly, good features are located by examining the minimum eigenvalue of each 2 by 2 gradient matrix, and features are tracked using a Newton-Raphson method of minimizing the difference between the two windows. Multiresolution tracking allows for relatively large displacements between images. The affine computation that evaluates the consistency of features between non-consecutive frames [3] was implemented by Thorsten T
Platform: |
Size: 789504 |
Author: 王凯 |
Hits:
Description: Abstract—A novel algorithm to remove rain or snow streaks
a video sequence using temporal correlation and low-rank
matrix completion is proposed in this paper. Based on the
observation that rain streaks are too small and move too fast
to affect the optical flow estimation between consecutive frames,
we obtain an initial rain map by subtracting temporally warped
frames a current frame. Then, we decompose the initial
rain map into basis vectors based on the sparse representation,
and classify those basis vectors into rain streak ones and outliers
with a support vector machine. We then refine the rain map
by excluding the outliers. Finally, we remove the detected rain
streaks by employing a low-rank matrix completion technique.
Furthermore, we extend the proposed algorithm to stereo video
deraining. Experimental results demonstrate that the proposed
algorithm detects and removes rain or snow streaks efficiently,
outperforming conventional algorithms.-Abstract—A novel algorithm to remove rain or snow streaks
a video sequence using temporal correlation and low-rank
matrix completion is proposed in this paper. Based on the
observation that rain streaks are too small and move too fast
to affect the optical flow estimation between consecutive frames,
we obtain an initial rain map by subtracting temporally warped
frames a current frame. Then, we decompose the initial
rain map into basis vectors based on the sparse representation,
and classify those basis vectors into rain streak ones and outliers
with a support vector machine. We then refine the rain map
by excluding the outliers. Finally, we remove the detected rain
streaks by employing a low-rank matrix completion technique.
Furthermore, we extend the proposed algorithm to stereo video
deraining. Experimental results demonstrate that the proposed
algorithm detects and removes rain or snow streaks efficiently,
outperforming conventional algorithms.
Platform: |
Size: 3602432 |
Author: senthil |
Hits:
Description: 它是基于一组包含异常数据的样本数据集，并计算数据的数学模型参数。这是第一次由Fischler和Bolles 1981提出。ransac是经常使用的计算机视觉。RANSAC假设为一组正确的数据，有一种方法，模型参数的计算。-It is based on a set of sample data sets containing abnormal data, and the mathematical model parameters are calculated. It was first proposed by Fischler and Bolles 1981. RANSAC is often used in computer vision. For example, in the field of stereo vision, the problem of computing the matching points and basic matrix is solved. The basic assumption of RANSAC algorithm is contained in the sample data (set), can be described by the model data, and data anomalies (outliers), deviation the normal range, can not adapt to the mathematical model of the data. These abnormal data may be due to the error of the measurement, the assumption of error, the calculation error and so on. At the same time, the RANSAC is assumed to be a set of correct data, there is a way to calculate the parameters of the model.
Platform: |
Size: 1538048 |
Author: 张强 |
Hits:
Description: 图像数据操作（内存分配与释放，图像复制、设定和转换）
图像/视频的输入输出（支持文件或摄像头的输入，图像/视频文件的输出）
矩阵/向量数据操作及线性代数运算（矩阵乘积、矩阵方程求解、特征值、奇异值分解）
支持多种动态数据结构（链表、队列、数据集、树、图）
基本图像处理（去噪、边缘检测、角点检测、采样与插值、色彩变换、形态学处理、直方图、图像金字塔结构）
结构分析（连通域/分支、轮廓处理、距离转换、图像矩、模板匹配、霍夫变换、多项式逼近、曲线拟合、椭圆拟合、狄劳尼三角化）
摄像头定标（寻找和跟踪定标模式、参数定标、基本矩阵估计、单应矩阵估计、立体视觉匹配）
运动分析（光流、动作分割、目标跟踪）
目标识别（特征方法、HMM模型）
基本的GUI（显示图像/视频、键盘/鼠标操作、滑动条）
图像标注（直线、曲线、多边形、文本标注）-mage data manipulation (memory allocation and release, image copy, setting, and conversion)
Image/video input/output (support file or camera input, image/video file output)
Matrix/vector data manipulation and linear algebra operations (matrix multiplication, matrix equations, eigenvalue, singular value decomposition)
Support for a variety of dynamic data structures (linked list, queue, data set, tree, graph)
Basic image processing (denoising, edge detection, corner detection, sampling and interpolation, color transformation, morphological processing, histogram, image Pyramid structure)
Structure analysis (connected domain/branch, contour processing, distance transform, image moment, template matching, Hof transform, polynomial approximation, curve fitting, ellipse fitting, the triangulation of the
Camera calibration (search and tracking calibration mode, parameter calibration, basic matrix estimation, single stress matrix estimation, stereo vision matching)
Motion analysis (opti
Platform: |
Size: 3723264 |
Author: korbon |
Hits:
Description: 光度立体法matlab程序，通过立体球求取光源方向，通过求解稀疏矩阵来实现物体的三维重建-Photometric stereo matlab program, through the three-dimensional sphere to obtain the direction of light source, through the sparse matrix to achieve three-dimensional reconstruction of objects
Platform: |
Size: 4096 |
Author: 杨永利 |
Hits:
Description:
本系统为立体声调频收音机，设计采用RDA5807收音模块，与单片机相结合，使收音解调电路设计变的简单，实现FM收音并显示频率。我们通过矩阵键盘设定我们需要的频段，并设置音量大小，通过诺基亚5110液晶屏显示出来，并根据所显示接收信号的强度等级，判断收音所在地的信号强度。RDA5807模块具有65-108MHz全球FM接收频段相容的效果，具备噪声消除、软静音、低音增强、灵敏度高、噪声小、抗干扰能力强等功能，所以使用本模块很容易实现，且系统可靠稳定。-This system is designed using RDA5807 stereo FM radio, radio module, combined with MCU, the radio receiver demodulation circuit design becomes simple, realize the FM reception and display frequency. We set the frequency we need through the matrix keyboard, and set the volume size displayed by the NOKIA 5110 LCD screen, and according to the received signal strength display, signal strength to determine the location of the radio. RDA5807 module with 65-108MHz global FM receiving band compatible with the effect, noise elimination, soft mute, bass enhancement, high sensitivity, low noise, strong anti-interference ability and other functions, so the use of this module is very easy to implement, and the system is reliable and stable.
Platform: |
Size: 3138560 |
Author: chen |
Hits:
Description: Encodes discrete 5-channel surround-sound signal into stereo matrix-encoded
signal based on the Dolby® Pro-Logic® II matrix. When played back on
home theater receivers with Pro-Logic® II decoding, the stereo signal will
be upmixed to an approximation of the original 5-channel signal.-Encodes discrete 5-channel surround-sound signal into stereo matrix-encoded
signal based on the Dolby® Pro-Logic® II matrix. When played back on
home theater receivers with Pro-Logic® II decoding, the stereo signal will
be upmixed to an approximation of the original 5-channel signal.
Platform: |
Size: 2048 |
Author: DIANA |
Hits:
Description: 计算机视觉中的立体视觉匹配，用八点法求基本矩阵，画出极线-Stereo vision matching in computer vision, with eight point method for basic matrix, draw a line
Platform: |
Size: 227328 |
Author: s |
Hits:
Description: 实现ＬＥＤ显示，基于小板的动态显示，矩阵实现立体灯阵(LED display, dynamic display panel based on the matrix to achieve stereo lamp array)
Platform: |
Size: 22528 |
Author: zm549836553
|
Hits: