搜索资源列表
ASIFT_windows_beta_20090415
- 基于SIFT的一种新特征点匹配算法,比SIFT还强,-Based on SIFT feature points of a new matching algorithm is also stronger than the SIFT,
Daisy
- 改写过的一个简单的daisy特征提取程序，依赖opencv2.3库，可以提取daisy特征向量，并通过特征匹配求得两幅图像的视差图-Rewritten a simple daisy feature extraction program, dependent opencv2.3 library, can be extracted daisy feature vectors, and by the feature match the disparity map of the image of the
siftformatlab
- 这是一个用MATLAB代码实现的一个关于图像的特征描述子的提取 以及相应特征点进行匹配的代码 可用于图像识别 或者立体匹配。-This is a MATLAB code with a descr iptor on the image feature extraction and matching feature points in the corresponding code can be used for image recognition or stereo matching. T
sift
- 自己实现的sift特征提取的matlab代码，可以计算特征描述子用于图像匹配，不过速度有点慢-Own implementation of sift feature extraction matlab code to calculate feature descr iptors for image matching, but a bit slow
Canny435435
- 这是一个canny边缘检测的程序-This a canny edge detection procedures.
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
AboutSomandsnake-model
- 在指纹识别应用中图像特征特点及其常用的特征提取与匹配方法-In fingerprint recognition applications, image feature characteristics of commonly used feature extraction and matching method
ImageMatch
- 图像配准时对取自不同时间、不同传感器、不同视角的同一场景的两幅或多幅图像匹配的过程，该系统通过手动选取特征点，实现图像的配准功能-Image taken from the time of the different sensors, different perspectives of the same scene or two pieces of the image matching process, the system by manually selected feature points,
lubangxingdetuxiangpinjie
- 图像拼接的核心是图像的配准.提出一种准确、高效的图像拼接方法:利用Harris角点检测算子提取相邻图 像的特征点,通过Euclid度量改进熵变换的算法,进行特征点匹配,并通过最小均值二乘估计求解相邻图像的变换 矩阵,以此实现宽视角图像的拼接.实验结果表明:所给出的算法能够实现场景图像的精确匹配. -Image mosaic is the core of image registration. Make an accurate and efficient method of image
ImageProcessing
- 程序的基本功能是运动检测，特征提取，图像匹配，图像压缩，图像变换等-The basic function of the procedure is the motion detection, feature extraction, image matching, image compression, image transformation, etc.
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.
program
- 本程序用于对工件图像的预处理，边缘提取等。将改进遗传算法和Hausdorff距离结合用于工件识别。采用canny边缘为匹配特征，将修正的Hausdorff距离作为相似性度量准则，并应用遗传算法进行最佳匹配的快速搜索，成功实现了目标物体的匹配识别-This procedure used for the workpiece image preprocessing, edge extraction and so on. Will improve the genetic algorithm and Ha
match
- 一个简单的图形匹配源代码，两张图片选取3个特征点对比匹配-A simple shape matching source code, two pictures selected three feature points matching contrast
Direct
- 图像匹配，基于灰度的匹配的经典算法。模板特征很适合在此基础上机型扩展。-Image matching, based on the classic matching gray-scale algorithm. Template characteristics are suitable for use in this basis expansion models.
200707171152015173
- 图像检索中颜色的特征提取及匹配算法，以家权欧几里得距离，中心距得加权距离，直方图交集算法等。-Image Retrieval color feature extraction and matching algorithm to the right home Euclid distance, center distance of a weighted distance, histogram intersection algorithm.
code
- 手指照片的特征点提取程序与算法，从而进行手指指型的匹配-Finger pictures of Feature Points Extraction procedures and algorithms, which refers to a finger-type matching
sift
- 用sift算子对两幅图像进行特征点的自动搜索。-Sift operator with the image feature point english
SIFT
- Distinctive Image Features from Scale-Invariant Keypoints David G. Lowe 这是一个很好的图象匹配算法（SIFT），同时能处理亮度、平移、旋转、尺度的变化，利用特征点来提取特征描述符，最后在特征描述符之间寻找匹配。 -Distinctive Image Features from Scale-Invariant Keypoints David G. Lowe 这是一个