搜索资源列表
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.
Prosac
- 用opencv2.3.1+vs2008实现PROSAC算法。PROSAC是比ransac算法更快的剔除无匹配算法。前提是，这种策略的前提是假定匹配度高的特征是内点的概率比匹配度低的特征要高。 -With opencv2.3.1+ vs2008 realize PROSAC algorithm. PROSAC is faster than ransac algorithm of eliminate no matching algorithms. Premise is, this strategy
siftPransac
- SIFT点提取，KD树特征匹配，再用随机抽样一致算法去除无匹配-SIFT extraction, KD tree feature matching, and then remove the non-random sample consensus algorithm matches
draw-characteristic-and-match
- 用sift方法检测图像的特征点，并且求出特征向量从而匹配图像。-Sift method is used to inspect the image feature points, and to find the feature vector which match the image.
sift
- sift算法匹配图像特征点（opencv）-sift algorithm for image matching feature points (opencv)
DetectMTInDB
- vs2010下两张图片之间、进行sift匹配，角点LK金字塔光流跟踪，surf匹配。有绘制特征点主方向和辅助方向。具体仔细看代码。-vs2010 down between two pictures, make sift matching corner pyramid LK optical flow tracking, surf match. Have drawn the main direction of the feature points and the auxiliary directio
Describe-SURF-Features
- 使用SURF特征检测和匹配特征点，使用SURF特征检测和匹配特征点-Describe SURF Features
face-detect
- 在安卓NDK下实现了图像的sift检测，可以圈出特征点，并且能够匹配二幅图像，需要opencv库支持。-In the android to realize the image under the NDK sift detection, can circle the feature points, and the ability to match two images, need opencv library support.
opencvorb
- 利用Orb算法实现图像特征点的提取，并且通过前后两帧之间的特征点进行特征匹配，为视频稳像、图像融合以及图像识别提供前提条件。-Detecting feature points using Orb algorithm, then matching the points with the detected points frames.That method provide one new way to video stablization ,image fusion and image recog
SIFTandSURF
- 基于OpenCV，VS2010的环境下，通过SIFT或SURF算法提取物体（此处为象棋）的特征，两张图像的特征进行匹配，匹配点多则认为是同一图像。电脑系统是WIN7，x64。假如是其他版本系统简要配置一下OpenCV环境就可以使用。-Determine the objects are same or not based on OpenCV.
SURFandRANSAC
- 本程序的功能是基于opencv库，用SURF提取特征，并保存描述子，再用随机抽样一致性算法剔除错误的匹配点，保存匹配好的点坐标，效果可以，你也可以换成SIFT或ORB来看效果。-This procedure is the function of feature extraction using SURF, and save the descr iptor matching points and random consistency algorithm to eliminate errors, s
templateMatch-ORB
- ORB特征点检测，并进行特征点的匹配，输入两幅图像，得到匹配参数- ORB feature point detection and matching feature points
templateMatch-SURF
- 使用opencv检测图像特征，并进行特征点的匹配。输入两幅图像，得到特征参数-Using opencv image feature detection and matching feature points. Two input image characteristic parameter obtained
Projects
- SIFT算子opencv3.0原创实现.实现SIFT特征点和描述子以及图像匹配功能-SIFT operator opencv3.0 original implementation. Implement SIFT feature points and descr iptors and image matching
imagestitching
- 实现了图像的简单拼接。首先寻找特征点，然后计算描述子（特征向量），对寻找到的特征点进行匹配，并塞选匹配结果，然后计算透视 矩阵，将其中一幅图进行透视变换，然后将图片合成。对一些简单的图片比较有效。仅供参考学习。(Realize the simple stitching of the image. First, find the feature point, and then calculate the descr iptor (eigenvector), match the feature po
FasterSurf
- 一个图像拼接框架。切换注释与未注释代码可实现不同检测器与描述子的组合。默认使用SURF+BRIEF，通过预设重叠区域比例排除非重叠区域特征点的检测，提升特征点检测速度，减少误匹配。(An image stitching frame. The switching annotation and the non - annotated code can implement the combination of different detectors and descr iptors. Using SU
SURF探测器拼接两张图像以创建全景的openCV实现
- 基于SURF的图像拼接，全景图像筛选特征点，进行匹配刷选转换(Image mosaic based on SURF panoramic image filtering feature points matching selection switch)
SURF+brief
- 基于opencv库的条件下，实现SURF+brief算法的特征点的提取与匹配，直接复制粘贴即可(Under the condition of OpenCV library, we can extract and match the feature points of SURF+brief algorithm, and copy and paste directly.)