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
sift-win-recompiled
- VC2010可用，SIFT特征提取，并做两个图片的匹配，最终输出匹配点。适用于Windows操作系统。-VC2010 is available, the SIFT feature extraction, and make the two images match, the final output of the matching point. Applies to the Windows operating system.
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
Harris
- opencv环境下实现的harris-laplace算法（多尺度harris角点特征提取算法）-opencv environment Harris-laplace algorithm (multi-scale Harris corner feature extraction algorithm)
cornersFeature
- 使用OPencv,读图像的角点特征.vc++6.0环境-Use OPencv, read the image corner features. Vc++6.0 environment
062501
- 角点检测算法是一种基于信号的点特征提取算法，Harris角点检测算子是通过Taylor级数展开法扩展了思路，计算窗口沿任何方向移动后的灰度变换情况，利用数学解析式来进一步确定特征点。-Corner detection algorithm is a point-based feature extraction algorithm signal, Harris corner detection operator is expanded by Taylor series expansion ideas
harris
- 运用opencv编译Harris算子进行点特征提取，运行快，效果好-Opencv Harris
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)