搜索资源列表
图像拼接【matlab】
- 基于尺度不变特征转换（SIFT）特征实现的图像拼接算法
sift-match.sift特征点提取代码
- sift特征点提取代码和对两幅图像提取特征点后进行特征点匹配，可用于图像拼接等。c和matlab代码都有,sift feature point extraction code and the two images after the extraction of feature points matching feature points that can be used, such as image stitching. both c and matlab code
sift_MATLABPVC
- 基于sift实现图像拼接（MATLAB+VC）Mosaic of image-based sift (MATLAB + VC)-Mosaic of image-based sift (MATLAB+ VC)
SIFT
- 图像拼接部分的重要程序，绝对有用，毕设的东西，VC编写的-An important part of the image mosaic program, absolutely useful, complete set of things, VC prepared
SIFT
- 基于sift特征点提取，实现图像拼接技术研究-Sift-based feature points extraction, image mosaic technique to achieve
SIFT_VC2
- 采用sift算法的图像拼接源程序，整个工程，内有测试图片-sift source algorithm for image stitching
autopano-sift-C
- 采用sift算法实现的图像拼接程序，效果较好，希望对大家有帮助。-Sift algorithm using image stitching process better, we want to help.
SIFT
- SIFT图像拼接,实现了论文中有关的SIFT的算法，使用时正确设置参数-SIFT image mosaic, the paper realized the SIFT algorithm, when used correctly set the parameters
MosaicKit
- 图像拼接部分的重要程序，绝对有用，毕设的东西-An important part of the image mosaic program, absolutely useful, complete set of things
imagemosic
- 一种自适应图像拼接方法，用VC实现。该方法能够自适应地进行图像拼接，并消除裂缝-a method of image mosic by VC
sift-match
- 图像拼接技术，图像配准技术，初步实现有重合区域的两幅图像的配准-Image mosaic technology, image registration, the initial overlap region to achieve a registration of two images
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)
图像拼接技术
- 利用sift算法提取两张图像的特征点，利用ransac去除误匹配，最后将两张图片拼接在一起(Using sift algorithm to extract the two feature points of the image, the use of ransac to remove the wrong match, and finally the two pictures together)
testfinally
- 基于visual studio2012 c++，opencv2.X图像处理，基于sift图像拼接(Image mosaic based on SIFT)
SIFT拼接练习
- 图像拼接，使用了opencv里面的函数，对边缘进行了处理，效果较好(Image stitching, the use of OpenCV inside the function, the edge of the treatment, the effect is better)
图像拼接技术
- 运用sift算法进行特征点的提取并实现特征点的匹配与融合(SIFT algorithm is used to extract feature points and realize matching and fusion of feature points.)
图像拼接
- 基于MATLAB应用sift算法实现图像的拼接(Image splicing based on MATLAB application SIFT algorithm)
基于sift特征的全景图像拼接
- 可以将有重叠部分的多张图片拼接成一张全景图片(You can stitch multiple images with overlapping parts into a single panorama)
sift
- 利用sift算法实现图像keypoint的检测和图像拼接(Image keypoint detection and image mosaic using SIFT algorithm)
图像拼接技术
- 基于sift的特征点提取，然后用ransac精匹配，最后实现两幅图的拼接(Feature point extraction based on sift, then ransac fine matching, and finally the stitching of the two images)