搜索资源列表
quasidensedemo.tar
- 实现立体匹配算法\"quasi-dense matching\"的Matlab代码,具体可参见CVPR 2007文章 Quasi-dense wide baseline matching using match propagation.
LBP.rar
- 针对传统方法难以可靠估计图像中纹理单一区域像素点视差的问题,将纹理分析应用于立体匹配中,提 出图像分块整体匹配的方法。首先用LBP/C纹理分析方法对图像纹理进行描述 然后进行基于区域生长的扩张检 测,得到纹理单一图像块 最后对图像块进行整体匹配,得到纹理单一区域的稠密视差图。对国际标准图像进行测试, 结果表明该算法能提高纹理单一区域稠密视差图的精度,具有实用价值 ,Due to the difficulty of getting disparity of less textured pi
daisy
- daisy是08年新提出来的特征描述符算法,常用在图像匹配等领域中。文件包含算法的PDF文档和算法提出者编写的相应matlab程序,大家可以根据自己的需要来利用。-A Fast Local Descr iptor for Dense Matching,2008.
matcher
- Dense Matching using energy minimization
lankton_stereo
- The uploading files is a good dense stereo matching algorithm, which is usually used in computer vision and computer graphics application.
Quasi-dense-match
- 代码用于寻找图像间的匹配点。先使用SIFT匹配算法得到两幅图像间的稀疏匹配点,然后再使用quasi-dense propagation算法得到quasi-dense匹配点。代码使用C++编写。 -This program is used to find point matches between two images. The procedure can be divided into two parts: 1) Firstly, using SIFT matching algor
solvevisualidentificationphase
- 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 a
quyuchoumi
- 基于区域稠密匹配算法,可以使用于双目立体视觉系统,重构三维特征。-Dense matching algorithm based on region, you can use binocular stereo vision system to reconstruct the three-dimensional features.
xishudianpipei-yuchongjian
- 本程序是在c++平台上应用opengl来实现三维密集点匹配与三维重建,绝对可以运行。-This procedure is the application in C++ platform opengl 3D dense point matching and 3D reconstruction can definitely run.
flddm
- fast local descr iptor for dense matching
dense-stereo
- 基于VC++的双目立体视觉检测 采用SIFT特征点计算稀疏匹配 和稠密匹配-VC++ based binocular stereo vision detection using SIFT feature points to calculate sparse matching and dense matching
cvut_test
- 基于OpenCV的计算机视觉技术实现的密集点匹配(Dense point matching implemented by computer vision technology based on OpenCV)