搜索资源列表
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
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
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
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
cvut_test
- 立体视觉中的稀疏点重构程序 特征点匹配后得到重构图像，对立体视觉的研究有很大的指导性作用-In the stereo vision,the reconstruction of the object based on the two sides of the object.
Matcher
- 特征点匹配的实现，使用VC实现，修正版，完整-Matching feature points to achieve the use of a VC, revised version, complete
SIFTTest3
- 实现对图像的sift特征点检测，能够对图像添加噪声、旋转、缩放，检验sift算法效果，实现两幅图像间的sift特征点匹配。-Sift feature point detection on the image, you can add noise on the image, rotate, zoom, testing the effect of sift algorithm, sift feature point matching between two images.
test_ORB4
- OpenCv ORB算法 特征点匹配 模板图片跟视频进行匹配-OpenCv ORB feature point matching algorithm with the video image template matching
opencv-sift-text1
- 基于opencv的sift特征点匹配测试程序，对比两张图片上的特征点匹配程度-Based on the opencv sift feature point matching test program, compared to two pictures on the degree of matching feature points
SIFT-feature-matching-
- SIFT 特征匹配算法是目前国内外特征点匹配研究领域的热点与难点，其匹配能力较强，可以处 理两幅图像之间发生平移、旋转、仿射变换情况下的匹配问题，甚至在某种程度上对任意角度拍摄 的图像也具备较为稳定的特征匹配能力。该算法目前外文资料较多，但中文方面的介绍较少。为此 我撰写了这篇文档，以帮助国内的研究学者尽快入门，以最快的速度去体验 特征匹配算法是目前国内外特征点匹配研究领域的热点与难点，其匹配能力较强，可以处 理两幅图像之间发生平移、旋转、仿射变换情况下的匹配问题，甚至在某种
FlannBasedMatcher
- 使用FLANN进行特征点匹配,利用SURF检测器检测的关键点，绘制出符合条件的匹配点 -The key point of the feature point matching using FLANN using SURF detector, the draw qualifying match point
45398761sift
- 本代码是应用sift算法进行的特征点匹配与配准，可以应用于图像拼接，人脸识别等等，用法非常强大。可以运行-This code is matched with the feature point registration application sift algorithm can be applied to the image stitching, face recognition, etc., usage is very powerful. You can run
360_panorama
- 采用opencv库，实现柱面全景拼接，采用特征点匹配SIFT算法。-Using OpenCV library to achieve cylindrical panoramic stitching.
libpano13-2.9.19.tar
- 全景拼接程序 可找到图像中的特征点 通过特征点匹配 将多角度照片拼接起来形成全景照片- This program is free software you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, version 2.
SURFPFLANN
- SURF+FLANN特征点匹配，检测目标物-SURF+ FLANN feature point matching for target detection
Suaf-stitch
- 使用opencv完成图像拼接，使用suaf特征点匹配； 有详细的中文注释； 有中间过程（画出特征点、特征点匹配、旋转、曝光修正等）； VS2012工程，使用的是opencv2.4.11； 注意重新配置工程关于opencv的信息；-Use opencv complete image stitching, using suaf matching feature points a detailed Chinese annotation an intermediate process
OpenCV-SURF-feature-point-matching
- Opencv SURF特征点匹配，包含可以正常运行的完整代码。-Opencv SURF feature point matching, contains the complete code can run normally.
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
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)