搜索资源列表
sift
- 实现图像的SIFT特征提取，并做在不同光照、不同视角下的特征匹配--Applications for the program source code. M documents needed for the operation and image files.
SIFT
- MATLAB实现图像的SIFT特征提取、不同视角下的特征匹配-SIFT MATLAB for image feature extraction, and to do in different lighting
flann_
- 使用FLANN(近似最近邻算法)实现图像特征的匹配，其中图像特征使用SIFT提取，算法能实现单应性匹配需求。- FLANN (approximate nearest neighbor algorithm) is used to match the image feature, and the image feature is extracted using SIFT. The algorithm can achieve the homography matching requirement.
OpenCV_BoFORB
- 词典daifa使用sift提取特征点然后形成词典-creat bag of visual word
sift-matlab
- SIFT（尺度不变特征提取）特征提取的基本实现-the algorithm of SIFT
sift算法
- 经典sift算法，图像特征提取的必学算法，具有里程碑的意义
sift
- sift算法，对图片进行尺度变化，提取尺度不变特征+-sift algorithm
Sift
- dll工程，内含对图像进行SIFT特征提取的函数，平台是Visual Studio 2013-Dll project, contains the image of the SIFT feature extraction function, the platform is Visual Studio 2013
sift
- SIFT特征点匹配，用于全景图像拼接过程中的特征点提取、匹配-SIFT feature points matching
sift-matlab
- SIFT特征提取源代码，图像检索特征提取技术，提取图片SIFT特征-SIFT feature extraction
多幅图像拼接
- 多幅图像拼接matlab实现 sift特征提取、描述、匹配、RANSAC、仿射变换(Multiple image mosaics, MATLAB, SIFT feature extraction, descr iption, matching, RANSAC, affine transformation)
run
- 两张图片拼接成全景图的程序，包括特征提取等步骤。(Two pictures stitching into panorama program, including feature extraction and other steps.)
tiqusift
- 提取sift特征(extract sift feature)
ABCODELocalShift
- sift算子，提取区域特征，进行对象的检测与跟踪。(Sift operator is used to extract region features and detect and track objects.)
特征提取程序
- 用于图像特征提取的MATLAB程序，基于sift算法(For image feature extraction)
siftDemoV4
- 通过sift算法，提取两幅图像的特征点并进行匹配，适应旋转，仿射，缩放等变化(The feature points of two images are extracted and matched)
sift_code
- 一个提取sift特征的工具包，基于matlab 语言(A feature extraction sift toolkit based on MATLAB language)
SIFT
- 面像识别训练时用到的归一化特征，进行人脸特征提取的代码(The normalization features used in facial recognition training, and the code for facial feature extraction)
SIFT_feature
- sift特征提取 可用于特征提取 图像处理 图像取证 图像检测(sift feature extraction)
siftcode
- 基于sift的特征提取算法，经本人验证，效果不错(The feature extraction algorithm based on sift is verified by myself and the effect is good.)