随笔分类 - 计算机视觉与机器学习
计算机视觉与机器学习
摘要：一、特征提取Feature Extraction：SIFT [1] [Demo program][SIFT Library] [VLFeat]PCA-SIFT [2] [Project]Affine-SIFT [3] [Project]SURF [4] [OpenSURF] [Matlab Wrapper]Affine Covariant Features [5] [Oxford project]MSER [6] [Oxford project] [VLFeat]Geometric Blur [7] [Code]Local Self-Similarity Descriptor [8] [Oxf
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摘要：一、 定义离散信号f(n),g(n)的定义如下：N-----为信号f(n)的长度s(n)----为卷积结果序列,长度为len(f(n))+len(g(n))-1例：f(n) = [1 2 3]; g(n) = [2 3 1];s(0) = f(0)g(0-0) + f(1)g(0-1)+f(2)g(0-2)= 1*2 + 2*0 + 3*0 =2s(1) = f(0)g(1-0) + f(1)g(1-1) + f(2)g(1-2) = 1*3 + 2*2 + 3*0 = 7s(2) = f(0)g(2-0) + f(1)g(2-1) + f(2)g(2-2)=1*1 + 2*3 + 3*2=1
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摘要：cl;img1=imread('gaosi.jpg');[m,n]=size(img1);w=fspecial('gaussian',[3 3]);img2=imresize(imfilter(img1,w),[m/2 n/2]);img3=imresize(imfilter(img2,w),[m/4 n/4]);img4=imresize(imfilter(img3,w),[m/8 n/8]);img5=imresize(imfilter(img4,w),[m/16 n/16]);imshow(img1);figure,imshow(img2);figure,
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摘要：一、通用函数：colorbar显示彩色条语法：colorbar \ colorbar('vert') \ colorbar('horiz') \ colorbar(h) \ h=colorbar(...) \ colorbar(...,'peer',axes_handle)getimage 从坐标轴取得图像数据语法：A=getimage(h) \ [x,y,A]=getimage(h) \ [...,A,flag]=getimage(h) \ [...]=getimageimshow 显示图像语法：imshow(I,n) \ imshow(I,[
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摘要：1. PETS2001的测试视频内容如下，可以得到如下所示5个DATASET，有训练和测试视频：ftp://ftp.cs.rdg.ac.uk/pub/PETS2001/ direct532 B 2001-07-25welcome.msg 5 mirrors6 B 2006-10-24WWW 2 mirrors532 B 2001-07-25PETS2001_README 2 mirrors0 2001-12-11DoNotDownLoadThisFile 2 mirrors[DIR]DATASET5/ direct 2 twin directories[DIR]DATASET4/ direct
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摘要：[W,s,v] = svd((repmat(sum(x.*x,1),szie(x,1),1).*x)*x');
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摘要：http://people.csail.mit.edu/torralba/shortCourseRLOC/This course reviews current methods for object category recognition, dividing them into four main areas: bag of words models; parts and structure models; discriminative methods and combined recognition and segmentation. The emphasis will be on the
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