搜索资源列表
双目立体匹配源代码
- 双目立体匹配程序，匹配效果较好，大家有研究双目视觉的可以参考参考。
3Drebuild.rar
- 双目立体视觉理论基础上的三维重建，采用立体匹配、SIFT匹配算法,Binocular stereo vision based on the theory of three-dimensional reconstruction using stereo matching, SIFT matching algorithm
DCBGrid-code
- 基于GPU编程的DCB双边滤波算法，实现了双目立体匹配等功能-GPU-based programming DCB bilateral filtering algorithm to achieve a binocular stereo matching functions
SIFT_VC
- 基于SIFT的双目立体视觉匹配的代码，可实现两幅图片的立体匹配。-SIFT-based binocular stereo vision matching code, enabling two-dimensional image matching.
stereo
- 双目立体匹配，用图像，运行可看到仿真结果！-stereo vision
StereoMatch
- 用于双目视觉中的立体匹配，独立的C++程序。-For binocular vision in stereo matching, independent of the C++ program.
bp
- 在双目立体视觉中立体匹配问题存在歧义性，是视觉研究中难点问题之。通过采用分水岭分割图像的方式有效的对图像进行了过分割处理，实现了基于图像块置信传播的匹配算法。-In the binocular stereo vision problem in stereo matching ambiguity, is the difficult problems in vision research. Images by using watershed segmentation method was effec
AStereoMatehingAPProachBasedWalshTransform
- 提出了一种以Walsh变换系数作为匹配基元的双目立体匹配方法。通过walsh正交变换核对图像，变换得到Walsh系数，图像的特征被嵌入到该系数中，费用函数采用了walsh变换系数作为匹配基元，而不是采用传统的像素灰度值。 -AStereoMatehingAPProachBasedWalshTransform
Progress-in-stereo-matching
- 双目立体匹配算法的研究与进展Progress in binocular stereo matching algorithms-Progress in binocular stereo matching algorithms
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.
StereoVision_Stefano-Mattoccia(PPT)
- 介绍立体匹配的基本知识，为学习双目立体匹配打好基础-Introduce basic knowledge of stereo matching, to lay the foundation for learning binocular stereo matching
DP
- 双目立体视觉中，求双目立体匹配中图像深度程序-Seeking binocular stereo matching in image depth program
BINO
- 双目立体匹配算法 基于最小生成树的双目匹配(Binocular matching based on MST)
census
- 双目立体匹配算法中的立体匹配census算法，用于立体匹配。(Stereo matching census algorithm in binocular stereo matching algorithm is used for stereo matching.)
双目立体视觉源代码
- 双目立体视觉中的深度估计算法，包括匹配代价，优化算法等(Depth estimation algorithm in binocular stereo vision, including matching cost, optimization algorithm and so on.)
zhongyao
- 双目立体匹配一直是双目视觉的研究热点，双目相机拍摄同一场景的左、右两幅视点图像，运用立体匹配匹配算法获取视差图，进而获取深度图。而深度图的应用范围非常广泛，由于其能够记录场景中物体距离摄像机的距离，可以用以测量、三维重建、以及虚拟视点的合成等(Binocular stereo matching has always been a research hotspot in binocular vision. Binocular cameras take left and right view ima
shuangmu
- 双目匹配计算视差，生成深度图。（前提是用自己标定好的摄像头拍的图片，导入内外参数然后进行立体匹配）(Binocular matching calculates parallax and generates depth map.(The premise is to take a picture with your own calibrated camera, import internal and external parameters, and then stereo matching))
5
- python实现双目立体匹配SGBM算法(SGBM algorithm for binocular stereo matching based on Python)
基于Python语言的SAD算法进行双目立体匹配
- SAD算法进行双目立体视觉匹配的相关文档及代码(Related documents and codes of sad algorithm for binocular stereo vision matching)
matlab实现SAD立体匹配代码
- matlab实现SAD立体匹配代码，自带双目图片与标准视差，matlab2018下课运行