搜索资源列表
shape-matching
- 基于形状的模板匹配，用到了opencv，主体包含两部分，建模与金字塔搜索。-Based on the shape of the template matching, the use of opencv, the main body contains two parts, modeling and pyramid search.
Harris-detection-amd-matching-corner
- 使用Harris角点检测，然后使用RANSA算法进行相应的match匹配算法，主要应用在计算机视觉以及opencv中-Harris corner detection and match corresponding corner points by match algorithm and RANSA algorithm in computer vision and openCV
sgm
- 求深度信息的半全局匹配算法，使用cuda，opencv(For depth information of the semi global matching algorithm, using CUDA, opencv)
StereoVision-master
- 包含双目标定，双目匹配以及三维重建。使用opencv库(It includes binocular calibration, binocular matching and 3D reconstruction. Using the opencv Library)
project
- 基于c++语言和opencv的视觉立体匹配(Visual stereo matching based on c++ language and opencv)
Visual C++数字图像处理技术详解(源代码)
- 《Visual C++数字图像处理技术详解》的源代码，《Visual C++数字图像处理技术详解》以数字图像处理技术为主线，全面地介绍在Visual C++环境下进行数字图像处理程序设计的方法。内容涵盖了数字图像的变换、增强、复原、重建、形态学处理、分割、匹配、压缩编码、特效处理等，各种方法均给出基本原理、典型算法、Visual C++源码及综合应用案例。同时，《Visual C++数字图像处理技术详解》还介绍了Visual C++与VTK、OpenCV和MATLAB等开发平台相结合进行数字图像
ORB
- 该算法基于opencv库，能够实现图像ORB角点检测，并实现图像匹配(ORB image key point detection algorithm, fast and efficient implementation of image feature point detection and matching)
faceRecgnition
- 该程序可以追踪人脸并检测人脸的面部特征，从而达到识别人脸的功能，利用了OPENCV的图形处理功能，自动追踪人脸，检测与已载入的数据库进行匹配，进行识别，最终会给出检测结果。(The program can track the face and detect the facial features of the face, so as to achieve the function of recognizing the face, the use of OPENCV graphics proces
myMSLD-master
- MSLD直线匹配C++代码需要配合opencv使用(MSLD LINE MATCH source it needs opecv to run the program)
sift.py
- sift算法--opencv-python 提取sift特征并匹配(sift algorithm --opencv-python feature extraction and fit)
kaze-master
- Kaze的实现源码，其中包括KAZE的核心算法库以及KAZE特征的提取、匹配和比较等例程，是基于OpenCV实现的。(Kaze source code, including KAZE core algorithm library and KAZE feature extraction, matching and comparison routines are based on OpenCV.)
SiftDetector
- 调用opencv库中的SIFT算法实现图像的匹配和分类(Call opencv library SIFT algorithm to achieve image matching and classification)
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)
simulate
- 形状是由图像的轮廓形成的，所以理论上形状识别是通常在边缘或轮廓检测后的步骤。(edge_based_matching The shape is formed by the outline of the image, so theoretically the shape recognition is usually the step after the edge or contour detection)
slam
- 视觉slam十四讲，程序资料：g2o优化、cere拟合、特征点提取与匹配、点云拼接、opencv图像读取(Visual slam 14, program data: g2o optimization, cere fitting, feature point extraction and matching, point cloud mosaic, OpenCV image reading)
Python_VLPR-master
- 基于树莓派B+版本的车牌识别设计，辨识部分以树莓派3B+/3B为核心处理器，基于Linux平台，通过python3.5和OpenCV来对含有车牌信息的图片，进行高斯去噪、灰度化、边缘检测、二值化、闭操作、字符分割、字符识别匹配等一系列图像处理操作最终实现车牌识别这个系统。(Based on the design of license plate recognition of raspberry pie B+version, the recognition part takes raspberry