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sift.rar
- opencv下的图像sift特征提取以及匹配,sift
SIFT
- SIFT 角点检测,提取图像的焦点特征，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-SIFT CORNER DETECTION EXTRACTION OF IMAGE FEATURE
pointmatch
- 用于摄影测量中的点特征提取、相关系数影像匹配程序-The photogrammetry point feature extraction, correlation coefficient image matching program
opensift-master
- sift程序，用于图像特征提取和图像的匹配，功能很强大-Sift program for image feature extraction and image matching, function is very powerful
robwhess-opensift-300bad1.tar
- sift程序，用于图像特征提取和图像的匹配，功能很强大-Sift program for image feature extraction and image matching, function is very powerful
4-order-CANDHAP1
- sift程序，用于图像特征提取和图像的匹配，功能很强大-Sift program for image feature extraction and image matching, function is very powerful
Haris
- 角点检测，用于运动背景特征点提取，对图像匹配，拼接，运动目标提取有用-Corner detection, feature point extraction for moving background, image matching, mosaic, moving target extraction of usefu
surf
- surf特征点以及描述子的提取和匹配，是图像处理中一项重要的作用-Surf feature point extraction and matching as well as descr iptors, in image processing is an important role
figurertzpp25
- 预处理后将得到一幅宽度为一个像素的细化二值图像，然后通过特定的端点和交叉点的特征进行指纹匹配。论文中采用MATLAB编程实现全部算法。-After pretreatment of a width of one pixel to obtain a binary image thinning, and through specific endpoint and the intersection of the characteristics of the fingerprint matching. T
shixi
- 首先提取印刷品的数字图像，对图像进行预处理，然后用模板匹配将图像中的文字部分分割出来，在提取文字图像的特征参数，最后对照标准样张图像的特征参数分析该印刷品的印刷质量，得到质量数据。-First extract the print of digital image, the image preprocessing, and then the text part of the image segmentation with template matching, text image feature
face-recognition
- 人 脸识别技术分 4 个方面：(1)皮肤检测 ，在 图像 中寻找出人 脸 区域，也可 以说是将图像中的背景和人的肤色进行分 离；(2)人脸规范化，即校正人脸在尺度、光照和旋转等方 面的变化；(3)特征提取 ，从人脸图像中映射提取～组能反 映人脸特征的数值表示样本；(4)特征匹配，将待识别人脸 与数据库中的已知人脸比较，得出相关信息。-people face recognition
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.