搜索资源列表
OpenCV_OpticalFlow
- 稀疏光流Demo 此程序是斯坦福大学大牛David Stavens 2007年编写，其中程序注解详尽，配有PPT和PDF讲解图文并茂，非常适合初学者学习使用。 本程序基于OpenCV。-Sparse Optical Flow Demo This program is Stanford University Daniel David Stavens 2007 was prepared, including detailed program notes, PPT and PDF with i
OpticalFlow-OPenCV
- 基于opencv的稀疏光流法，用来跟踪。由外国专家David Stavens所写-Opencv optical flow based on the sparse method, used for tracking. Written by foreign experts David Stavens
point-matching
- 基于opencv的密集点匹配程序，运用C++语言实现-Sparse point matching and reconstruction (no image correction)
Sparse-point-matching
- 基于opencv的稀疏点匹配与重建（无图像校正）-Sparse point matching and reconstruction (no image correction)
sparse-points-and-matching
- 稀疏点匹配与重建（无图像校正），结合OpenCV开放-sparse points and matching
cvut_test
- 基于opencv的 稀疏点匹配与重建 opencv书籍配套经典代码 -Sparse points matching based on opencv opencv books supporting and rebuilding classic code
Image-_recon
- 完成两幅图像的稀疏点的匹配和重建，C++的编程环境，opencv函数库-Do two sparse points matching and reconstruction of the image, c++ programming environment, opencv function library
perspective
- 此代码主要介绍了图像的稀疏映射，通过一副图像的四个点来确定映射函数，从而达到图像的映射，代码完整的解释了映射的详细算法-This code describes the mapping of the sparse image through an image four points to determine the mapping function, so as to achieve the image mapping, code complete a detailed explanation o
cv_sparse_lines
- 基于OPENCV的人脸线状稀疏采样，可以自定义相邻线间距离，自定义圆弧形或者直线型遮挡，非常方便，简单实用-Based on sparse sampling line OPENCV face, and you can customize the distance between adjacent lines defined, custom arc-shaped or linear block, very convenient, simple and practical
opencv-Optical-
- LK稀疏光流Demo可以在场景中自动找出关键点并自动跟踪-LK Sparse Optical Flow Demo automatically identify the key points in the scene and automatically track
digital-recognition(opencv)
- 基于稀疏编码的数字识别，使用opencv，实现了简单的稀疏编码。-Digital Recognition Based on Sparse Coding
123456
- 基于窗口的稀疏点匹配及三维重建，其中利用了图像校正，及Opencv中的相关函数和类库-Based on sparse point matching and reconstruction of the window, where the use of the image correction, and Opencv relevant functions and libraries
opencvof
- 稀疏光流Demo 此程序是斯坦福大学大牛David Stavens 2007年编写，其中程序注解详尽，配有PPT和PDF讲解图文并茂，非常适合初学者学习使用。 本程序基于OpenCV。-Sparse Optical Flow Demo this program at Stanford University in 2007, Daniel David Stavens written program notes which detail with PPT and PDF to e
SFMfromWeb2
- 基于opencv249以及VS2013实现的两张照片的sfm系统,可以生成稀疏点云，里面有一个Viewer可以直接看生成的点云的效果，供大家学习。-Based on opencv249 and VS2013 to achieve the two photos of the sfm system, you can generate sparse point cloud, which has a Viewer can directly see the results generated point
matting
- 使用opencv开发，实现图像抠图，将需要的局部图像提取处理(Robust Matting 1. OpenCV 2. MTL library (for sparse matrix) 3. Intel Math Kernel Library (to solve linear equation by conjugate gradient method))
a_two_phase
- 程序实现的两阶段的稀疏表示的代码，从一个博客上看的，代码很详细~~(Program implementation of the two phase of the sparse representation of the code, from a blog to see, the code is very detailed ~ ~!)
稀疏点匹配与重建
- 基于OpenCV的计算机视觉技术实现的稀疏点匹配与重建(Sparse point matching and reconstruction based on OpenCV computer vision technology)