搜索资源列表
SIFTtutorial
- 对图像提取相应的特征点，并对特征点进行精简与描述，找到128维的描述子，并与另一幅图像的描述子进行比较，得到图像的匹配-Extract the corresponding feature point of the image, and the feature point streamline with the descr iption, to find 128-dimensional descr iptor, and compares with a descr iption of the ima
panorama2
- 图像融合，SIFT算子，特征点的提取、匹配与融合-image stitching，sift
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
matching
- 基于核线约束的最小二乘匹配，可以提取特征点-least squares matching
SIFT_VC.rar
- sift算法，支持特征点提取，kdtree算法匹配的程序。,sift algorithm, program support feature point extraction, kdtree algorithm match.
RANSAC
- ransac算法对特征点找到最好的模型匹配对，消除一些有缺点的误匹配-the ransac algorithm to find the best model matching feature points to eliminate some shortcomings mismatching
ImageMosaic
- 一些关于图像拼接的论文，包括特征提取、特征匹配和RANSAC特征点提出等-The articles of image mosaic, including feature extraction, feature matching and RANSAC the feature points purification algorithm
SSD-and-SAD
- 用相似性方法做的特征点的匹配，比较了SSD与SAD方法的各自效果。-feature points matching method used by the similarity, and comparing the respective effects of the SSD and SAD methods.
RANSAC
- 提纯检测到的特征点的一个算法，可以和SIFT算法结合使用，去除一些误匹配的关键点，提高代码的执行效率-Purified feature points detected an algorithm that can be used in conjunction with SIFT algorithm to remove some of the mismatching of the key points to improve the efficiency of the implementation o
test
- 双目视觉的立体匹配和特征点检测，sift/surf/orb等特征都可以，ransac方法去噪-Stereo matching and feature points detection, sift/surf/ORB and other characteristics of the binocular vision can RANSAC method de-noising
pipei
- 首先利用HARRIS算子进行特征点提取，再进行基于相关系数的影像匹配，并输出TXT文件。-failed to translate
IMAGEPIPEI
- 首先利用HARRIS算子进行特征点提取，再进行基于相关系数的影像匹配，并输出TXT文件。-failed to translate
face-recognition
- 人脸识别，特征分割，特征点定位，欧式距离，模式匹配-face recognition，feature capture，feature match
siftDemoV4
- 图像提取特征点，基于128位向量特征匹配，-Image extraction of feature points based on 128-bit vector feature matching,
SIFT
- SIFT算法，基于特征的特征点提取及基于置信度的特征匹配-SIFT algorithm, feature-based feature extraction and matching based on the characteristics of Confidence
surf1
- surf特征点提取与匹配，该算法能达到实时性的要求，不仅能用于两幅图的匹配，还能用于单幅图的复制粘贴取证-surf feature point extraction and matching, this algorithm can achieve real-time requirements, not only for the two graph matching, but also for single figure copy and paste forensics
SIFT_demo
- SIFT算法的相关实现 自己用matlab写的sift特征点检测与匹配程序，运行能通过-SIFT algorithm related to realize their written with matlab sift feature point detection and matching program, run through
imageStitching
- 图像拼接。首先采用surf算法提取特征点，再用双向匹配剔除误匹配，最后采用渐进渐出实现全景图-Image stitching. First feature points are extracted using surf algorithm, and then removed two-way matching mismatch, finally adopted gradually progressive realization panorama
image-retrieval
- 发表在ieee上的文章，介绍基于特征点的图像匹配方法，适合学习图像匹配的同学学习。-Articles published in the ieee, image matching algorithm based on feature points is presented in this paper, suitable for image matching students learning.