搜索资源列表
sift
- 一种常用于图像特征描述的一种描述子,全称尺度不变特征变换-Scale-invariant feature transform (or SIFT) is an algorithm in computer vision to detect and describe local features in images. The algorithm was published by David Lowe in 1999.[1]
frdescp
- 傅立叶描述子(frdescp()函数)来表示各个数字包络-Fourier descr iptors (frdescp () function) to represent each digital envelope
Igohd
- 图像梯度方向直方图描述子:,该方法使用梯度方向直方图(Histogram of Oriented Gradients,简称HOG) 特征来表达人体,提取人体的外形信息和运动信息,形成丰富的特征集,然后使 用支持向量机线性SVM 分类器对这些特征集进行训练。-Image gradient orientation histogram descr iptor
SIFT
- SIFT图形描述子,提取出图像中的SIFT特征点,注意测试图片需要为256色灰度图-Graphic SIFT descr iptors extracted image SIFT feature points, attention needs to test a 256-color grayscale images
brisk
- brisk描述子,matlab语言,好懂易学-brisk descr iptors, matlab language, easy to understand to learn
Vehicle-detection
- 基于协方差的车辆检测,用协方差矩阵为描述子,检测图片中的汽车或者卡车-Covariance matrix Vehicle detection
repeatability_demo
- 评价描述子的好坏,能给出重叠率、正确率和查错率等-Evaluation of descr iptors
daisy-1.8.1cPP
- 通过这个程序,实现daisy特征描述子的一些功能-Through this program, realized daisy features some of the features described in sub
SIFT
- 收集的SIFT特征描述子的资料,代码合集, 代码在里面的文件夹中,有matlab和C++的实现 SIFT是目前最经典的图像特征提取方法-tutorial and code for SIFT
HOG_OpenCV
- HOG即histogram of oriented gradient, 是用于目标检测的特征描述子,该技术将图像局部出现的方向梯度次数进行计数,该方法和边缘方向直方图、scale-invariant feature transform类似,不同的是hog的计算基于一致空间的密度矩阵来提高准确率。Navneet Dalal and Bill Triggs首先在05年的CVPR中提出HOG,用于静态图像or视频的行人检测。-HOG i.e. histogram of oriented gradien
液晶显示c语言描述程序
- 汉字液晶子程 液晶屏分为4行*12列汉字,全部使用模拟接口方式-LCM sub code with Chinease Character sets.The code use MCU I/O ports.
FULIYE
- 能够计算傅里叶描述子,并对图像进行重构,实现对目标图像和源图像的辨认-Fourier descr iptors can be calculated, and the image reconstruction, image and the source image to target identification
ORB-feature-detect
- 提取ORB描述子,即Oriented FAST and Rotated BRIEF,此种描述子相较于BREIF来说,对目标的旋转具有很好的鲁棒性,另外对于噪声的效果也很好。-Extraction ORB descr iptors, namely Oriented FAST and Rotated BRIEF, this descr iptor is compared BREIF in on the target rotation has good robustness, in addition
Image_Codes
- 预处理,数学建模,傅里叶描述子,颜色模型-Preprocessing Mathematicalmodel Fourierdescr iptors Colormodel
decriptors
- 看的国外会议文章提取的EEG的三个视觉描述子(sift,phog和gist)-sift phog gist
image-matching-using-surf-and-ransac
- 对两幅图像进行配准,分别提取两幅图像的surf特征点以及描述子,得到粗匹配结果,然后根据粗匹配结果,采用ransac方法计算基础矩阵,并去除误匹配点,得到较准确匹配结果-Two image registration, surf was extracted from the feature points in two images to get the coarse matching and descr iptor, then according to the results, the coars
inner-dist-articu-distrbution
- 形状信息描述子算法,是改进以前的形状信息,可用于形状匹配。-Information describing the shape of the sub-algorithm, improving the previous shape information can be used to shape matching.
FASTaORB
- FASTOPENCV代码 & ORB 代码 描述子 用于图像局部不变特征提取,二值化描述子,快速特征点检测-FAST DETECTOR & ORB DEscr iptOR
repeatability_demo
- 对应Mikolajczyk文章中关于局部描述子的重复率的计算-compute the repeatability of local descr iptor
fourier-descriptor
- opencv实现了傅立叶描述子的功能,可以在visual studio里面运行,需要新建一个工程,同时下载opencv的相关库文件和动态链接库文件-fourier descr iptor