Description: Graph-cut implementation is used for combinatorial optimization, which is a fast and robust means to achieve stereo matching, image restoration, segmentation. Platform: |
Size: 45461 |
Author:Wenmiao Lu |
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Description: 实现了基于窗口的图像立体匹配方法，得到此方法的视差图-Based on the realization of the window image stereo matching method, the disparity map of this method Platform: |
Size: 1024 |
Author:zhuyong |
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Description: 这是一个用MATLAB代码实现的一个关于图像的特征描述子的提取 以及相应特征点进行匹配的代码 可用于图像识别 或者立体匹配。-This is a MATLAB code with a descriptor on the image feature extraction and matching feature points in the corresponding code can be used for image recognition or stereo matching.
This directory contains compiled binary programs for finding SIFT
invariant features that can run under Linux or Windows. In addition,
there is a Matlab script as well as C source code showing how to load
the features and do simple feature matching. Platform: |
Size: 396288 |
Author:peter |
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Description: 基于图像分割的立体匹配算法，是目前效果最好的全局立体匹配算法！-A novel stereo matching algorithm is proposed that utilizes color egmentation on the reference image and a selfadapting matching score that maximizes the number of re-
liable correspondences. The scene structure is modeled by a set of planar surface patches which are estimated using a new technique that is more robust to outliers. Platform: |
Size: 2157568 |
Author:mstar |
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Description: 采用图像相位信息作为立体匹配基元，同时具有区域相关法的定位精度高，恢复视差密度大和特征匹配法的实现速度快等优点-Using image phase information as a stereo matching primitives, while the regional correlation with high positioning accuracy, recovery and characteristics of dense disparity matching method to achieve the advantages of faster Platform: |
Size: 368640 |
Author:朱秀红 |
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Description: 汽车防撞，技术路径不外：1.雷达测距防撞；2.视差测距防撞。前者，一旦保有量较大，必定遭遇互相干扰问题；后者，以前主要问题是，算法复杂，实时性差。
本文公开了一种新算法（已申请发明专利），主要运算可以借助硬件组合逻辑模块并行执行，可以极大提高视差测距的实时性，满足汽车防撞的要求。-(Background) Stereo matching, requires in two images to identify two pixels to be matched each other, in the field of machine vision, this is a difficult, but central task To complete the task, the key is to strengthen pixels characteristics (status)In order to strengthen the characteristics of pixels , has developed combination of the pixel neighborhood features technology, a variety of window matching technology, and matching prominent features of pixels only, for example, the edge pixels in the image, or to match with the Sift technical characteristics of pixels The window matching Technology, in theory, the larger the window, the more prominent features of pixels to be matched, but the resulting: 1. the computational size is increase 2. the windows across the actual object boundary, so that， the same characteristics pixel in the other image is inexistence，making computing more difficult, so two questions The feature matching, can acquire sparse disparity map only, and mat Platform: |
Size: 318464 |
Author:李维纲 |
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Description: 双目立体匹配中获取图像对的视差图，可用于后续的三维重建工作。-Binocular stereo matching to get the image on the disparity map can be used for subsequent 3D reconstruction. Platform: |
Size: 235520 |
Author:王龙 |
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Description: 立体匹配：实现在图像处理中的两幅图像的立体匹配。 -Stereo matching: to achieve in image processing of two of the image three-dimensional match.
Platform: |
Size: 1024 |
Author:Alpha |
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Description: 利用图割算法，进行立体匹配，也就是图像的深度提取。本程式是针对视频序列的深度估计，该程式是名古屋大学开发的-Using the graph cut algorithm for stereo matching, that is, the depth of the image extracted. This program is the depth estimation for video sequences, the program is developed by Nagoya University Platform: |
Size: 538624 |
Author:程 |
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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 Platform: |
Size: 13516800 |
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 Platform: |
Size: 2971648 |
Author: |
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Description: 实现OpenCV、OpenGL、VS2008混合编程，输入校正后的图像对，使用立体匹配算法计算其视差图，最后用OpenGL进行三维重建-Achieve OpenCV, OpenGL, VS2008 mixed programming, enter the corrected image right, using stereo matching algorithm to calculate the disparity map, the final three-dimensional reconstruction with OpenGL Platform: |
Size: 22887424 |
Author:金媛媛 |
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Description: 出了一种恢复高质量稠密视差图的立体视觉合作算法．该算法采用基于形态学相似性的自适应加权方
法，迭代地进行局部邻域的自适应聚合和抑制放大，实现高效率和高质量稠密视差图计算．将该算法推广到三目摄像
机立体匹配系统中，通过重建摄像机坐标系实现图像校正，并根据连续性假设和唯一性假设，建立视差空间中的支持
关系和三目摄像机之间的抑制关系．实验结果表明，三目立体合作算法能够得到精确的场景视差映射，并可以实现多
基线方向的遮挡检测．该算法特别适用于由多个廉价摄像机组成的立体视觉系统，在几乎不增加软件和硬件资源的
情况下。就可以得到高质量的稠密视差图．-Out of a dense disparity map to restore quality stereoscopic cooperative algorithms. The algorithm based on adaptive weighted morphological similarity method iteratively local neighborhood adaptive aggregation and inhibition of amplification to achieve high efficiency and high quality dense disparity map calculation. The algorithm is extended to trinocular stereo matching system, by rebuilding the camera coordinate system for image correction, and assumptions based on continuity and uniqueness of the assumptions in establishing a supportive relationship disparity space and trinocular relationship between inhibition. Experimental results show that the algorithm can cooperate trinocular stereo scene accurate parallax map and can achieve more occlusion detection base line direction. The algorithm is particularly suitable for low-cost cameras consisting of a plurality of three-dimensional vision system, almost no increase in the software and the hardware resources. You can get high-quality Platform: |
Size: 769024 |
Author:aaron |
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Search - stereo image matching