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
StereoMatch
- 立体匹配算法集成, 包含6种stereo image 的匹配算法。实现平台C-stereo matching and 3D reconstruction
A-Comparison-of-Multicamera-Person-Tracking-Algor
- In this paper, we present a comparison of four novel algorithms that have been applied to the tracking of people in an indoor scenario. Tracking is carried out in 3D or 2D (ground plane) to provide position information for a variety of survei
StereoDisparity
- 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.
stereo-disparity
- matlab实现图像匹配的视差图,可以用于3D重建系统,机器视觉等领域。-Matlab image matching parallax figure, and can be used in 3 D reconstruction system, machine vision, etc
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.
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.
117143191sift-1.1.1_20070330_win
- 在计算机视觉的领域中,图像匹配是很多问题最重要的一个方面,包括物体和场景识别,通过多幅图像进行3D重构,立体匹配和运动跟踪。SIFT特征对于图像的旋转和尺度变化具有不变性,对于光照改变和摄像机角度变化具有部分的不变性-In the field of computer vision, image matching is one of the most important aspects of the many problems, including the identification of ob
sift_ex3
- sift算子在图像匹配与图像拼接三维重建中都有重要地位,这个程序没有使用opencv,原作者很不容易写出来的。在调试中会有少量问题,稍加调试就可调通 -sift operator in image matching and 3D reconstruction image mosaic has an important position, this program does not use opencv, the original author is not easy to write out.
sift
- sift改进代码,可用于图像匹配,目标识别与跟踪、3D重建-Sift improve code, can be used in image matching, target recognition and tracking, 3 d reconstruction
SIFT
- SIFT(Scale Invariant Feature Transform)即尺度不变特征变换,是 D. G.Lowe 在 1999 年提出的一种基于图像局部特征的描述算子,并于 2004年做了完善。SIFT算法是一种基于线性尺度空间,对图像缩放、旋转甚至仿射变换保持不变的局部特征描述算子,因此被广泛地应用于机器人定位、导航和地图生成中。-This paper presents a method for extracting distinctive invariant features fro
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
