搜索资源列表
立体匹配算法
- 关于区域匹配的算法，附带检测图片
StereoMatching
- 在Matlab平台上，通过NCC SSD SAD算法双目立体图像求视差图-In the Matlab platform, through the NCC SSD SAD algorithm for stereo disparity map image requesting
matching
- 使用matlab编写的一个简单模板匹配程序对作立体匹配的初学者的入门程序-Matlab prepared using a simple template matching procedure for three-dimensional matching of the entry procedures for beginners
stereo
- 立体匹配代码，包括SAD，SSD，NV，可供参考-Stereo matching code, including the SAD, SSD, NV, for reference
立体匹配
- 灰度匹配方法,适用性比较好，简便，适合初学者(NCC algorithm described in great detail, suitable for beginners, image matching to be)
dp
- 动态优化处理立体匹配问题，展示了下效果，简单实现(Dynamic optimization processing stereo matching problem, show the effect, simple implementation)
calibration
- 立体匹配中的单目标定,输入图片，得出结果，官方实例(Monocular calibration)
open_rwr_stereo
- 立体匹配，摄影测量，计算机视觉，立体相对(image matching,photogrammetry, computer vision, pair matching)
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.)
ADCensus
- 一种立体匹配算法，ADCensus，使用的是AD 和 Census联合特征的匹配算法(A Stereo Matching Algorithms, named ADCensus, based on AD and Census joint features is used.)
自适应权值立体匹配算法
- 一种改进的自适应权值立体匹配算法，用于图像处理等(An improved adaptive weight stereo matching algorithm for image processing, etc.)
BM
- 使用python实现立体匹配算法BM算法，能够计算视差图(BM algorithm, which USES python to realize stereo matching algorithm, can calculate the parallax graph)
SGBM
- python3.7实现SGBM算法实现立体匹配计算视差图(Python3.7 implements SGBM algorithm to realize stereo matching and calculate parallax graph)
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))
stereoReconstruct1_3
- 采用基于区域的立体匹配算法进行视差估计通过平滑函数法最小化全局误差能量(A region based stereo matching algorithm is used for parallax estimation and the global error energy is minimized by smoothing function method)
5
- python实现双目立体匹配SGBM算法(SGBM algorithm for binocular stereo matching based on Python)
SemiGlobal-Matching-master
- 立体匹配分为初始代价计算、代价聚合、视差求解、视差优化，这是sgm代价聚合实现源码，使用c++语言实现，(This is a simple implementation of the SGM algorithm with the Birchfield/Tomasi pixelwise matching cost using the OpenCV library. It was created for a school project. It currently runs on one threa
立体匹配图片库
- 立体匹配平台middlebury上的可以用于匹配的常用的图片，2005年和2006年的匹配图片库的。
bp-vision-master
- 置信度传播立体匹配，matelab就能运行，比较简单 1、需要Matlab 2013a及以上版本； 2、运行demo_stereo.m，注意修改图片路径； 3、左右图像使用3通道灰度图；(Confidence propagation stereo matching, MATELAB can run, relatively simple 1. Matlab 2013a and above is required; 2. Run demo_ Stereo. M, pay attention to
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