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Description: openCV中文版 附目录
本书主要介绍:
1.透彻介绍OpenCV
2.从摄像机获取输入
3.图像的变换
4.图像的分割和形状的匹配
5.模式识别，包括人脸检测
6.二维和三维场景中的跟踪监测
7.根据立体视觉进行三维重构
8.机器学习算法-the openCV Chinese edition with catalog book describes: a thorough introduction to OpenCV get input from the camera image transform image segmentation and shape matching 5 pattern recognition, including face detection of two-dimensional and three-dimensional tracking and monitoring of the scene based on stereo vision for three-dimensional reconstruction of 8. machine learning algorithm
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Author: chenchao |
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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
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Author: |
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Description: vision stereo it is a proyect that we did when vision stereo it is a proyect that we did when vision stereo it is a proyect that we did when -vision stereo it is a proyect that we did when vision stereo it is a proyect that we did when vision stereo it is a proyect that we did when vision stereo it is a proyect that we did when vision stereo it is a proyect that we did when
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Size: 30720 |
Author: juan |
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Description: 能够实现在计算机平台上运行左右两个图像传感器的同步采集，用于机器人立体视觉以及3D片源的获取-Can be achieved in a computer running on a platform about two image sensors synchronous acquisition for robot stereo vision and 3D sources of access
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Size: 19517440 |
Author: you |
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Description: HALCON软件进行色标的识别，并通过双目立体视觉测量两色标之间的距离-HALCON software for color patch recognition, and through binocular stereo vision measurement distance between two color
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Size: 2048 |
Author: 韦伯 |
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Description: As PTZ (Pan–Tilt–Zoom) cam-eras are able to obtain multi-view-angle and multi-resolution information, they have received more and
more concern in both research and real application. Stereo vision using dual-PTZ-camera system, com-pared with using dual-static-camera system, is much more challenging.
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Size: 542720 |
Author: 1212login |
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Description: 利用双目立体视觉的原理对行驶的车辆进行车距测量，经过实践比较测量的距离和实际的距离误差在10 以内。-The use of the principle of binocular stereo vision car vehicle traveling distance measurement, comparing the measured distance through practice and practical distance error is within 10 .
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Size: 6941696 |
Author: taoge |
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Description: In this demonstration, we present MeshEye, an energy-effi cient wire-
less smart camera mote that has been designed with low-rate, dis-
tributed imaging applications in mind. Special attention is given to
its unique and novel vision system: a low-resolution stereo vision
system continuously determines bearing, size, and range of moving
objects entering its fi eld of view. This information drives the focus
of attention of a high-resolution camera module. Hence, this hybrid-
resolution vision facilitates high-resolution foreground acquisition
while avoiding costly background removal at high pixel rates.
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Size: 678912 |
Author: Kate |
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Description: 在matlab环境下面编程，最好使用2012版本及其以上，完成利用matlab软件提供的图像处理函数来完成图像匹配，3D重建的工作。最后的效果图很好，由于是利用matlab自带的图片，所以压缩文件中无图片，直接打开m文件就可以运行！-Below programming in matlab environment, it is best to use 2012 version and above, using matlab software provides complete image processing function to complete the image matching, 3D reconstruction work. The final renderings good, as is the use of matlab comes with a picture, so the compressed file without pictures, you can directly open the m-file to run!
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Size: 3072 |
Author: 李雪松 |
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Description: introduction to stereo vision algorithm and how to use it
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Size: 67584 |
Author: nada |
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Description: 详细介绍Haclon软件平台的双目立体视觉测量方法，包括坐标转化以及函数使用方法-Describe the measure method of binocular stereo vision
about Halcon software platform ,including coordinate transform and how to use the function
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Size: 7443456 |
Author: ivy |
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Description: 本源码用于双目立体视觉图像特征点检测以及对应点匹配，包括检测代码以及匹配代码部分。-The source for binocular stereo vision image feature detection and the corresponding point matching, including the detection code, and match the code section.
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Size: 43008 |
Author: 曾庆响 |
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Description: 这是一本关于立体视觉相机的文章，讲解很详细-This is an article about the stereo vision camera, explaining in great detail
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Size: 1499136 |
Author: 胡水 |
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Description: 基于视差的多视点生成技术研究,立体视差估计是立体视觉研究中最基本的问题之一-Based on the parallax of multiple viewpoints generation technology research, stereoscopic disparity estimation is one of the most fundamental problems in the research of stereo vision
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Size: 5196800 |
Author: jik_un |
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Description: 由图像灰度恢复物体三维形状（内附讲解ppt）- Computer Vision ，shape from photometric stereo
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Size: 5820416 |
Author: 朱砂吉衣 |
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Description: 采用了meanshift聚类的方法实现立体视觉双目匹配-Meanshift clustering achieved using binocular stereo vision matching
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Size: 2606080 |
Author: songkuiyang |
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Description: 双目视觉的国外课件,解释的挺好的，其中一些图片还可以用在论文上-bincular vison ppt
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Size: 12153856 |
Author: leo |
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Description: 双目视觉的三维重建，有助于研究双目跟踪和立体视觉的重建问题。-3 d reconstruction of binocular vision, help the binocular tracking and the reconstruction of the stereo vision problems.
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Size: 5522432 |
Author: 郭聪 |
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Description: 3-Dshape reconstruction in an active stereo vision system
using genetic algorithms
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Size: 1446912 |
Author: amir |
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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
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Size: 789504 |
Author: 王凯 |
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