搜索资源列表
maxflow-v3.0.src.tar
- 三维立体视觉匹配源码 Tested under windows, Visual C++ 6.0 compiler and unix (SunOS 5.8 and RedHat Linux 7.0, GNU c++ compiler). -3D visual matching source Tested under windows. Visual C + + 6.0 compiler and unix (SunOS 5.8 and Red Hat Linux 7.0, GNU compiler
LSM_IMAGE_TOOL
- 某大学的关于测绘与三维建模使用的匹配方面的代码，包括关键的图像匹配前预处理等-a university on the mapping and 3D modeling of the matching code, include key pretreatment image matching, etc.
OpenSURF
- surf算法是现在最新的寻找图像特征点并匹配的算法，与SIFT算法相比速度更快，可以用在3D重建、图像拼接等多个领域-surf algorithm is now the latest to find the image feature points and matching algorithms, compared with the SIFT algorithm is faster, can be used in 3D reconstruction, image mosaic, and othe
BM3D
- BM3D去噪算法的实现和相关文档，很好的去噪算法-Image and video denoising by sparse 3D transform-domain collaborative filtering Block-matching and 3D filtering (BM3D) algorithm
Implit_Function_And_Marching_Cube
- 实现了3D模型变形（morphing）的隐函数插值算法。并有Matching Cube算法网格化模型。这个程序花了我不少时间编写。-Achieved a 3D model of the deformation (morphing) of the implicit function interpolation algorithm. And Matching Cube Mesh count model. This process gave me a lot of time to prepare.
Stereopatch
- 这是一个关于3D图象重建立体匹配的代码，大家可以下下来参考一下，只上传了代码。此方法比较简单-This is a study on 3D image reconstruction of three-dimensional matching code, we can look down under, only upload the code. This method is relatively simple
BasedOnTheMatchingPairsOfImagesAnd3DReconstruction
- 基于双幅图像的匹配算法及3D重建不确定性研究 -Based on the matching pairs of images and 3D reconstruction algorithm uncertainty
AVehicleContourbasedMethodforOcclusion
- 摘要：在交通场景下进行多目标跟踪时，如何正确检测出车辆间的相互遮挡是影响车辆跟踪结果的关键。针对问题，运用投 影理论分析交通场景的三维几何投影特征．用长方体投影轮廓模型对车辆进行建模，重构其乏维投影轮廓，以进行遮挡的检 测和分离。与以往的方法相比，它在估计出的车辆外形轮廓基础t-进行遮挡检测，不需要匹配操作，计算量较小，并能解决 基于匹配的方法无法对付的初始遮挡问题。用实验验证了该算法的有效性。-In multi—object tracking of traf氍c scene。how
D3D
- 该压缩包为<<3D游戏程序设计入门>>配套程序，内含书中每章例子的程序代码，另附PPT-The archive for the < < 3D Game Programming Getting Started> > matching program, book, each chapter contains examples of program code, attached PPT
10.1.1.33.877.pdf
- 3D Image Matching Using a Finite Element Based Elastic Deformation Model
3D-depth-map-from-2D-images
- 二维图像三维立体视差算法依据的文章是： “Segment-Based Stereo Matching Using Belief Propogation and a Self-Adapting Dissimilarity Measure” by Klaus, Sormann, and Karner 主要步骤： Getting Pixel Disparity Filtering the Pixel Disparity 包含的文件： demo.m, .#newrea
disparity-estimatino-on-3D
- 这些代码可以通过给予的左右视图来进行其视差图的调整，为立体图像的矫正处理做准备。-These codes are used for stero matching about the 3D graphes. You can get a disparity map from the left and right pictures.
Fast-Matching-Code
- Fast Matching 算法的实现，快速计算三维模型任意两点之间的测地线距离-Implementation of Fast Matching algorithm. Use for computing geodesic distance between any pair of vertices on a 3d mesh.
3D-gamer
- 雙camera，取出左右camera的image，做flann ransac matching（基予sift）同時計算出fundamental matrix和深度關係。另外做了光流法h檔 加載後 可以計算左右camera 運動位移。 如果不能解壓縮，請將檔案後綴改成7z。-3D geometry
Stereo-Matching
- 这是一个工具箱，可以对经过平行视觉处理之后的图片进行三维重建，得到视差图。GUI操作，简单易懂，功能强大。-This is a toolbox which can reconstruct the 3D picture(stereo matching or stereo construction) with 2 pictures from parallel view. You can finish the process with GUI easily.
3D-Reconstruction.
- 择了一种速度、特征点数量和精度都比较好的组合方案：FAST角点检测算法+sift特征描述子+FLANN(Fast Library for Approximate Nearest Neighbors) 匹配算法。-Choose a speed and precision of the number of feature points are relatively good combination scheme: FAST corner detection algorithm+sift featur
image-feature-detection-and-matching
- 用于图像特征提取和匹配，三维重建等的经典方法，包括sift，surf，Harris，RANSAC,8点算法等-For image feature extraction and matching, 3D reconstruction and other classical methods, including sift, surf, Harris, RANSAC, 8 point algorithm, etc.
old-3d-reconstruction-code-master
- 三维重建的一些常用算法，包括摄像头标定，双目匹配、计算视差、三维重建等常用的算法-Some commonly used three-dimensional reconstruction algorithms, including camera calibration, matching eyes, the parallax calculation, 3D reconstruction algorithm commonly used
A-Non-Local-Cost-Stereo-Matching
- 双目匹配 3D立体视觉 代价聚合 非局域 -A Non-Local Cost Aggregation Method for Stereo Matching