搜索资源列表
upsampling_code_published
- 通过构建图像的mst，然后升采样，生成对应的视差图，效果较好；-By constructing an image of mst, then upsampling, generate a corresponding disparity map, the better
libelas
- ELAS方法，快速的场景识别和视差图计算-ELAS method, efficient disparity map calculate
stereo
- 立体图像对的匹配，可以实现对图像视差的计算，感兴趣的可以下载一下-Stereoscopic image pair matching, can calculate the image disparity of interest can be downloaded at
disparity_to_3d_reconstruction
- 双目视觉中，利用视差图进行三维重建，实现三维重建的点云显示，并获取深度信息。-Binocular vision, the use of disparity map for three-dimensional reconstruction, three-dimensional reconstruction of the point cloud display, and access to the depth of information.
disparity_postorocessing
- 立体匹配中，不管是局部还是全局匹配方法得到的视差图，需要对视差图进行后处理，比如左右一致性检验，遮挡过滤，中值滤波。-Stereo matching, whether local or global matching disparity map obtained after processing the need for the disparity map, such as about consistency checking, blocking filter, median filter.
StereoSAD
- 两种方法实现SAD立体匹配算法，一种一般思维方式，一种为基于视差空间的方式实现-Two ways SAD stereo matching algorithm A general way of thinking, an implementation based on disparity space way
StereoRegion
- 基于区域的立体匹配算法 本算法从两幅彩色立体图像对中提取深度信息，使用过滤器消除视差图深度估计中的不稳定性。-Region Based Stereo Matching Algorithms region based stereo matching algorithms are developed for extraction depth information two color stereo image pair. A filter eliminating unreliable dispar
Reconstuction3d
- OpenCV+OpenGL 双目立体视觉三维重建代码以及文档使用opencv进行立体匹配获取视差图，三角剖分使用opengl进行纹理贴图-OpenCV+OpenGL binocular stereo vision 3D reconstruction code and documents using OpenCV stereo matching to obtain disparity map, triangulation using opengl for texture mapping
Stereomatch
- 计算机视觉：视差图计算 运用CUDA来进行对相关加速来进行计算 计算速度较快，且相对来说计算结果准确。-Can compute the disparity between two pictures about narrow baseline quickly and precisely.What s more ,it use the CUDA to the speed of the computation,etc.
SSD_Disparity
- SSD方式计算的立体视差，输入两个对比照片与窗口大小，得到二者视差图-SSD disparity matching function
matlab-stero-match
- 图型图像处理，给出两幅图像，可以得到视差图-Pattern image processing, we give two images, can get disparity map
Binocular-vision-calibration-error
- 本程序用来计算双目视觉摄像机标定过程中的靶标点重建误差，输出为独立参数、相关参数、视差三种方式重建得到的靶标点与理论靶标点同行同列最远点之间的误差。-This procedure is used to calculate the target point of the reconstruction error of binocular vision camera calibration, the output error between the reconstruction of indepen
Reconstruct3D-master
- 对输入的图像对进行特征匹配，得到目标物体的视差图，根据视差图进行三维重建-Of the input image feature matching, disparity map to obtain the target object, the three-dimensional reconstruction of the parallax FIG.
open_rwr_stereo
- 深度图像算法处理，能够从左右视图当中提取图像深度。-A algorithm for computing disparity that can be used in stereoscopic display and auto identification
shichatu
- 通过执行程序，可以实现对物体视差图的生成，进而可以实现深度图。(Through the implementation of the program, you can achieve the object disparity map, and then you can achieve depth map.)
46273116Daisy
- 改写过的一个简单的daisy特征提取程序，依赖opencv2.3库，可以提取daisy特征向量，并通过特征匹配求得两幅图像的视差图，其实并没有那么难(Rewritten a simple daisy feature extraction program, dependent opencv2.3 library, can be extracted daisy feature vectors, and by the feature match the disparity map of the)
D_spsstereo
- 利用动态规划和互信息计算初始视差图，在此基础上对初始视差图进行左右一致性检验等进行求精(The initial disparity is computed according to dynamic programming and Mutual Information. Furthermore, the consistency examination is utilized for disparity refinement)
Source code
- 在opencv上实现双目测距主要步骤是： 1.双目校正和标定，获得摄像头的参数矩阵： 进行标定得出俩摄像头的参数矩阵 cvStereoRectify 执行双目校正 initUndistortRectifyMap 分别生成两个图像校正所需的像素映射矩阵 cvremap 分别对两个图像进行校正 2.立体匹配，获得视差图： stereoBM生成视差图 预处理： 图像归一化，减少亮度差别，增强纹理 匹配过程： 滑动sad窗口，沿着水平线进行匹配搜索，由于校正后左右图片平行，左图
2009-12-04-00-29-myRaytracer-0.03
- 简单的光线追踪引擎在MATLAB从无到有仅仅因为现有的射线追踪，主要针对的是三维计算机图形和不提供适当的访问内部数据（如雷的生命），这是需要计算的差距和/或运动场。(simple ray-tracing engine in Matlab from the scratch just because existing ray-tracers are mainly targeted to 3D computer graphics and don't provide proper access to t
organisation_fonctionnelle_MT_deangelis_99
- Neurons selective for binocular disparity are found in a number of visual cortical areas in primates, but there is little evidence that any of these areas are specialized for disparity processing. We have examined the organization of disparity-sel