搜索资源列表
Surf_test
- 基于OpenCV3.0.0版本的SURF算法及程序测试(SURF algorithm and program testing based on OpenCV3.0.0 version)
edge_based_matching
- 边缘检测，形状匹配，opencv编写的，opencv3.0以上版本及其第三方库，，，，，，，，，，，(edge_based_matching,the mask width and height must be (approximately) set according to the size)
14460660SIFT_area_match
- 实现SIFT区域匹配，在VS2014+opencv3.4版本下实现两张图片的特征匹配功能(Implement SIFT area matching)
venv
- OpenCv3.4+py3.4 实现特征点检测、匹配以及相机的标定(OpenCv3.4+py3.4 Realization of feature point detection, matching and camera calibration)
mnist_test_opencv
- 利用opencv的ML-SVM，进行·mnist数据集的训练分类。 同时包含该数据集的读取(use opencv's ML-SVM to carry out training classification of MNIST dataset. Including the reading of the data set)
sift
- 利用python3.6+opencv3实现sift(use python3.6+opencv3 relised sift)
SURF_match
- opencv用surf实现特征匹配，vs2015,opencv3.4及以上版本可直接运行(Opencv+Surf+Feature match)
Camshift
- 平台VS2015+opencv3，进行Camshift视觉跟踪(By VS2015+opencv3,with camshift to object tracking)
OpenCV3__SVM__HOG
- 目标识别，有着详细说明的代码，可以仔细阅读一下，OpenCV3，C++(Pedestrian recognition)
match
- opencv学习笔记，基于vs2013和opencv3.2的单图像模板匹配(Single image template matching)
Project11
- 使用visual studio2017和opencv3.2.0实现图像的亮度，对比度的调整。(using visual studio and opencv to realize the change of brightness and contrast ratio of original picture.)
License-Plate-Recognition-master
- 用python3+opencv3做的中国车牌识别，包括算法和客户端界面。(Chinese license plate recognition using python3+opencv3, including algorithm and client interface.)
拉普拉斯算子
- visual2013配置OpenCV3.0使用C++编写的拉普拉斯算子(Visual2013 configuring OpenCV3.0 using Laplasse operator written in C++)
-kinect-gesture
- kinect动作识别，vs2013+opencv3.0(kinect gesture use vs2013 and opencv3.0)
基于CSRT算法的目标跟踪
- 本项目为基于CSRT算法的目标跟踪，使用C++书写，需使用opencv3.4.1及以上版本。已经测试完毕，下载后直接修改opencv路径即可运行。可根据需要自行替换测试视频进行跟踪 关于CSRT的介绍： In the Discriminative Correlation Filter with Channel and Spatial Reliability (DCF-CSR), we use the spatial reliability map for adjusting the fi
FDOG-master
- 利用c++,，基于vs2019和opencv3.41，实现FDOG算子，(FDOG C++ vs2019 opencv3.41)
金字塔模板匹配算法
- 可以实现金字塔加速处理模板匹配，vs2015+opencv3.30.(The template matching can be accelerated by pyramid)