搜索资源列表
distinctive-image-features
- 本文主要介绍了如何提取图像特征，并进行图像特征匹配-This paper presents a method for extracting distinctive invariant features from images that can be used to perform reliable matching between different views of an object or scene.
ESMkitWin
- 法国信息部开发的图像特征匹配与跟踪的sdk免费版，大家可以使用一下。-Ministry of Information Development of the French image feature matching and tracking of sdk free version, you can use it.
OpenCV-Mean-Shift-demo
- 基于OpenCV实现的图像特征区域跟踪程序，基于类Mean-Shift实现的颜色直方图概率匹配算法，可同时跟踪6个特定目标区域。-OpenCV implementation of image features based on regional tracking program, based on class Mean-Shift probability of achieving the color histogram matching algorithm, which can track a
example3
- matlab灰度图像特征匹配算法的源程序，高效-matlab grayscale image feature matching algorithm source, efficient
基于弹性模板匹配的人脸表情识别程序
- 基于弹性模板匹配的人脸表情识别程序。首先针对静态表情图像进行表情图像的灰度、尺寸归一化，然后利用Gabor小波变换提取人脸表情特征以构造表情弹性图，最后提出基于弹性模板匹配及K-近邻的分类算法实现人脸表情的识别。-Flexible template matching based on facial expression recognition procedures. First of all, the expression for the static image of the gray-sca
采用邻域差值特征模板的立体匹配方法
- 算法给出一种图像匹配方法，通过计算一幅图像中间隔一定距离的两点的像素邻域差值作为特征模板，再计算另一幅图像中在同一扫描线上间隔同样距离的像素邻域的差值，将它与特征模板的偏差作为匹配标准，偏差最小的点就认为是匹配点。
OpenSURF
- surf算法是现在最新的寻找图像特征点并匹配的算法，与SIFT算法相比速度更快，可以用在3D重建、图像拼接等多个领域-surf algorithm is now the latest to find the image feature points and matching algorithms, compared with the SIFT algorithm is faster, can be used in 3D reconstruction, image mosaic, and othe
ORB_ppt
- ORB特征用于图像特征匹配，这个是ppt。-ORB features for image feature matching, this is a ppt.
SIFTAlgorithmcodes
- D.G lowe 的尺度不变特征转换算法（SIFT） 在基于opencv和OpenGL的源码基础上增加了图像的保存功能。用于对图像的尺度不变特征的提取以及图像特征点的匹配。-DG lowe the scale-invariant features of the conversion algorithm (SIFT) and OpenGL-based opencv source code based on the increase in the preservation of image fe
Detection1
- 基于特征点检测匹配的运动补偿方法，然后通过补偿的差分图像法来检测移动平台下的运动目标-Based on feature point detection method of matching motion compensation, and then through the compensation differential image method to detect the mobile platform under the moving target
ImageMatchingviaSaliencyRegionCorrespondences
- 通过显著特征区域进行图像匹配的经典外文文章，强烈推荐-Through the salient features of the region to carry out the image matching the classic foreign-language articles, strongly recommend
efinger
- 这是一个完整的指纹识别程序，它包括了直方图均衡，Gabor滤波图像增强，方向图过滤，纹理细化，特征提取及特征匹配。-This is a complete fingerprint recognition procedure, which includes a histogram equalization, Gabor filter image enhancement, filtering pattern, texture refinement, feature extraction and fea
imagemosic
- 针对基于图像特征点的配准方法中对应特征对难以准确提取的问题,提出一种基于兴趣 点匹配的图像自动拼接方法。该方法首先利用Harris角检测器提取两幅图像中的兴趣点,并在此基 础上采用比较最大值法提取出对应兴趣点特征对,最后利用这些匹配特征对来实现图像的拼接。实 验结果表明,这种方法能有效地去除伪匹配特征对的干扰,同时降低了误匹配的概率-Feature points for image-based registration method of the corresponding char
shibie
- 采用图像小波变换后的统计特征对图像进行匹配识别。-The use of image wavelet transform the statistical characteristics of image matching identification.
yixue
- 计算机辅助诊断数字医疗图像增强方法中,简单地应用直方图均衡化方法是不完善 的,直方图匹配化是常规辅助方法之一·以牙X线根尖片图像为例,分析图像特征,采用Gauss函 数来构造多峰曲线,生成匹配化直方图,是一种实用增强方法 -Computer-aided diagnosis of digital medical image enhancement methods, the simple application of histogram equalization method is im
pyramid
- 基于金字塔对灰度图像进行分层，按由粗到精的方法对左右航片进行特征提取，根据特征点对影像对进行影像匹配！-Based on the Pyramid of the stratified gray-scale images, according to the coarse-to-fine method of flight films about feature extraction, according to feature points on the image to image matching
sift
- 利用sift算法提取图像特征点，为进一步实现图像间的匹配做准备。-Sift algorithm using image feature extraction point for the further implementation of the matching between images ready to do.
TuXiangMatch
- 利用MATLAB实现的图像的特征匹配，对于图像拼接和全景图像生成至关重要-MATLAB implementation of the image using the feature matching, image stitching for panoramic images and to generate essential
adistortedimagerectificationalgorithmbasedonleasts
- 针对高精度的畸变图像,提出了一种基于最小二乘影像匹配的高精度畸变图像矫正算 法. 算法首先利用特征提取与边缘检测对图像进行预处理,并且将特征匹配与最小二乘算法相 结合,从而实现了图像与模板之间精确的子像素定位与匹配. 实验表明,该算法较好的解决了目前高精度畸变图像矫正算法中普遍存在的定位和匹配精度较差的缺陷,图像矫正效果良好,是一种有效的畸变图像矫正算法.-Image distortion for high-precision, a least-squares image matchin
IDA
- 对两幅图像特征点对匹配算法的一个实现，采用了09年pami一文章的观点，算法名称IDA(Incremental Dissimilarity Approximations)-Feature points of two images of an implementation of matching algorithm used pami a 2009 article, views, the algorithm name of IDA (Incremental Dissimilarity Approx