搜索资源列表
ORB1
- 简单的ORB算法提取特征点程序包，可供初学者学习，程序没问题，若不能运行，自行更改包含目录等。-The ORB algorithm of simple package, for beginners learning, application no problem, if can not run, on its own changes include directory, etc.
ImageCompare
- 进行图像对比，采用提取特征点Harris角点的方式来匹配拍摄角度不一样的图片，可以完成图片的融合、拼接以及识别工作。-To compare the difference of the images via harris detector
FingerPrintVerify
- 本程序主要实现指纹识别算法的实现，包括图像分割、二值化、细化、提取特征点、图像的匹配-The main procedures realize fingerprint recognition algorithms, including image segmentation, binarization, thinning, extracting feature points matching images
TestSift_siftFeat
- 测试sift特征点，并且在图片中显示出来。直接在sift源码上修改的，将提取特征点部分和匹配部分分开了，这部分是提取特征点。在vs2010上可运行，需要配置opencv-Test sift feature points and displayed in the picture. On sift modified source code directly, the feature points are extracted portion and mating portion separated,
harris-laplace
- harris-laplace是基于DOG算法的改进，从不同尺度提取特征点，规避了不同尺度提取同一特征的缺陷。-feature detector
siftDemoV4
- sift描述子,用来提取特征点以及匹配 计算机视觉的重要基础-sift descr iptors important foundation for extracting feature points and matching of computer vision
image-mosaic.doc
- 图像拼接(image mosaic)技术是将一组相互间重叠部分的图像序列进行空间匹配对准,经重采样合成后形成一幅包含各图像序列信息的宽视角场景的、完整的、高清晰的新图像的技术。图像拼接在摄影测量学、计算机视觉、遥感图像处理、医学图像分析、计算机图形学等领域有着广泛的应用价值。 一般来说,图像拼接的过程由图像获取,图像配准,图像合成三步骤组成,其中图像配准是整个图像拼接的基础。本文研究了两种图像配准算法:基于特征和基于变换域的图像配准算法。 在基于特征的配准算法的基础上,提出一种稳健的基于特征点的
mosaic
- 图像拼接，将两幅图像拼接在一起，不同像素不同大小，基于特征的方法，手动提取特征点-Image stitching, stitching together the two images, different pixel sizes, feature-based approach, the manual extracting feature points
sift_match
- 输入两张图片，提取特征点，通过Ransac计算变换矩阵H，进而实现图像融合-Enter the two images, extracting feature points calculated by Ransac transformation matrix H, and thus achieve image fusion
compare_SIFT_SURF
- 对比SIFT与SURF两个提取特征点的算法，对比他们在时间和效果上的优缺点-Compared to SIFT and SURF two algorithms to extract the feature points, compared the advantages and disadvantages of them on time and effect
ORB_FREAK
- 两种特征提取去方法的比较，看看那一种方法提取特征点更准确，匹配也更准确-The comparison of two kinds of feature extraction methods, the extraction of the feature points is more accurate and more accurate.
HarrisMatch
- 封装好的Harris算子提取特征点、匹配、提粗匹配类，添加到个人工程即可调用使用（基于opencv2）.-Operators packaged Harris feature point extraction, matching, mention rough matching class, adding to the personal project can be called using (based on opencv2).
Harris-Corner
- Harris算子提取特征点、匹配、提粗匹配程序，（基于opencv）.-Harris operator extracting feature points, matching proposed matching program, (based on opencv).
HarrisMatch(opencv)
- harris提取特征点、匹配、剔除误匹配小程序，基于opencv-harris feature point extraction, matching, excluding mismatching small program, based on opencv
PicMatch
- 基于C++的图像配准算法，通过提取特征点，完成特征点匹配，估计运动模型参数，完成图像配准-C++ based image registration algorithm
Harris
- 本文用用Harris算子提取特征点，基于特征点的匹配，加权融合图像拼接-In this paper, we use the Harris operator to extract the feature points, which is based on the feature points matching.
Harrispinjie
- 本文用用Harris算子提取特征点，基于特征点的匹配，加权融合图像拼接-In this paper, we use the Harris operator to extract the feature points, which is based on the feature points matching.
SIFT_VC
- sift算子提取特征点，自动提取影像特征点，该算子具有良好的稳定性和实用性-sift operator extracting feature points
OpenCV_BoFORB
- 词典daifa使用sift提取特征点然后形成词典-creat bag of visual word
GIS
- 鼠标画曲线， 然后提取特征点，将提取的特征点由bezier曲线进行拟合， 然后得到最终的拟合曲线， 拟合的曲线可以通过调整曲线的控制点来调整曲线的形状-And then extract the feature points, the feature points extracted by the bezier curve fitting, and then get the final fitting curve, the curve can be adjusted by adjusting th