搜索资源列表
StereoVision实现OpenCV、OpenGL、VS2008混合编程
- 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 hybrid programming, enter the corrected image pairs, the use of stereo matching algorithms to calculate the disparity map, and finally with OpenGL thr
opencv17
- 简单的同时使用OPENGL和OPENCV的例子，能够根据云点图生成3d图像，对学习3d重建和立体视觉很有用。-A simple example using OPENGL and OPENCV can generate 3d image based on the cloud point of Figure 3d image,which is helpful to study 3d reconstruction and stereo vision 。
chongjian
- 一中基于opencv的采用四幅图像的三维重建程序，并应用MATLAB现实出来-Opencv-based adoption of a four dimensional image reconstruction procedures and practical application from MATLAB
ReConstruction
- 基于OpenCV下编写的一个实现将两幅图像重建为3D模型的代码，希望对大家有帮助！-Based on OpenCV produced under a to realize the two images for 3 D reconstruction of the model code, and we want to help!
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
opencv-3D-restruction
- 此程序使用opencv计算相应图像对的视差并作出视差图，进而以之为基础进行图像的三维重建。-This program calculates the disparity and plots the depthimage using opencv. Therefore, reconstruct the stereo image.
CPP
- 基于opencv2.4.3和VS2010编程实现多图像的表面重建。计算机视觉中期project-Opencv2.4.3 and VS2010 programming , surface reconstruction of multiple images . Computer Vision interim project
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
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
Mid-term-project
- 用于图像的三维重建，利用光度立体实现。具体实现代码。-stereo reconstruction
Background-difference-method
- 背景差分法是采用图像序列中的当前帧和背景参考模型比较来检测运动物体的一种方法,其性能依赖于所使用的背景建模技术。背景差分法检测运动目标速度快，检测准确，易于实现，其关键是背景图像的获取。在实际应用中，静止背景是不易直接获得的，同时，由于背景图像的动态变化，需要通过视频序列的帧间信息来估计和恢复背景，即背景重建，所以要选择性的更新背景。-Background difference method is the use of images in the sequence of the current
windageLightVer
- 从外国某网站找到的关于图像的一些文件，三维重建方面-Some documents on images a foreign website to find the three-dimensional reconstruction
FBPtest1
- CT拍摄拍摄一周，步进1度，360张投影图像，使用S-L滤波，滤波反投影FBP算法进行二维断面重建(CT filming for a week, step 1 degrees, 360 projection images, using S-L filter, filter back projection FBP algorithm for two-dimensional section reconstruction)
opencv
- opencv随书源码，图像处理，图像处理：cvSobel，cvCanny等 结构分析：ContourArea等 运动分析与目标跟踪：cvMeanShift等 模式识别：CvHaarFeature 摄像头定标与三维重建：cvCalibrateCamer2(Opencv with the book source, image processing)
shanshu_distance
- 实现CT Shepp-logan头模型的平行束投影及反投影以及扇束等角的投影以及重排方法(Parallel projection and backprojection and fan beam isometric projection and rearrangement method for CT Shepp-logan head model are implemented.)