搜索资源列表
OrbTest
- ORB描述子，是比sift算法更加快速的图像特征点提取方法，检测的方法更加暴力。opencv已经实现。-ORB descr iptors, sift algorithm is faster than the image feature extraction methods, detection of the method is more violence. opencv has been achieved.
opencv-shift-graphics-match
- opencv的shift图像匹配程序 实现了角点检测 特征点检测 图像匹配-opencv shift graphics match
Image-feature-extraction
- 图像特征点提取，需要安装opencv2.1-Image feature extraction, need to install opencv2.1
SURF_VC6.0
- Visual C++ 6.0 平台下使用OpenCV库实现的SURF特征点检测算法，效率较SIFT特征点检测要高。正确配置OpenCV后能修改输入图像能正确运行。-SURF feature point detection algorithm implemented using the OpenCV library under the Visual C 6.0 platform, more efficient than the SIFT feature point detection is hig
find_obj
- surf 方法 直接能运行 配上opencv 图像特征点匹配 sift方法的改进版本，在时间上面大大提高同时在光照方面比sift要好很多-Methods can be run directly coupled surf opencv image feature point matching method sift improved version of the above at the time of greatly increased both the light much better th
aamlibrary_Ya0Wei
- 通过一系列凸显预处理，实现人脸边缘检测。然后提取出眼、鼻、口三处特征点、并标记出来。-Highlighted by a series of pre realize the face edge detection. Then extract the eyes, nose, mouth three feature points, and marked.
mySift
- sift的C++版，在sift上找出鲁棒性最强的几个特征点，然后以这个点为圆心，以自适应性的尺度为半径画圆，这个非常适合运用于数字水印领域，适用于抵抗数字水印的几何攻击-sift the C++ version of the robustness of the sift to find the strongest on the number of feature points, and then to this point as the center of the scale of self-a
feature-matching-based-on-opencv
- 基于opencv来简单实现图像处理中的特征点提取和匹配-Opencv to simple implementation based on image processing feature extraction and matching
testOpenCVSurf
- 一个用opencv库编写的Demo，用于两幅图像的特征点提取及匹配-A library written using opencv Demo, for the two images feature point extraction and matching
OpenCV_VC6.0_surf
- Visual C++ 6.0平台基于OpenCV的SURF图像特征点的检测和匹配源代码，能正确的实现图像特征点的检测和匹配功能，对研究图像特征点匹配非常有帮助。-The Visual C++ 6.0 platform is based on OpenCV SURF image feature points detection and matching of source code, can correct the image feature point detection and matchin
cornerdectection
- 一种不错的特征点检测算法，用opencv编写，比较适合初学者，使其可以方便的了解到相关函数的使用方法。-a good method of corner dectection using opencv,good for the beginner
mosaic
- SIFT是具有鲁棒性的特征点提取算法，本程序就是基于SIFT的图像拼接-SIFT is a robust feature point extraction algorithm, this procedure is based on the SIFT image stitching
sift2
- sift算法，VC++ 6.0 开发，用于图像特征点提取，利用Opencv库进行开发-sift algorithm, VC++ 6.0 to develop for the image feature point extraction, Opencv library development
OpenSURFcpp
- C#版OpenSURF，提高了分析特征点的速度，已经加入了Match模块-amend the opensurf for c#. it speeds up analysing the vip points and adds images matching.
opencv_surf
- opencv提取surf特征点 并进行匹配(Extracting surf feature points using opencv)
code1
- 特征点提取及图像匹配,局部图像特征提取匹配(Feature point extraction and image matching, local image feature extraction matching.)
代码 特征点匹配目标提取
- 利用OpenCV以及vc++实现对物体特征点匹配目标的提取，(Using OpenCV and vc++ to achieve object feature point matching target extraction,)
quickly match
- 基于亮度/色彩一致性，在SURF算法的基础上提出了一种快速图像特征点匹配算法，可以缩小特征点匹配所需的运行时间，提高正确匹配率。(Based on the brightness / color consistency, a fast image feature point matching algorithm based on SURF algorithm is proposed, which can reduce the running time of feature point matchi
特征检测
- 图像特征提取是计算机视觉和图像处理中的一个概念。它指的是使用计算机提取图像信息，决定每个图像的点是否属于一个图像特征。包括：Harris角点、ShiTomasi角点、亚像素级角点、SURF角点、Star关键点、FAST关键点、Lepetit关键点等等(Image feature extraction is a concept in computer vision and image processing. It refers to using a computer to extract imag
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)