我可以得到图像每个点的描述符 SURF

Question

如题所示，我希望得到每个图像点的Descriptor-SURF 我不想要兴趣点，而是图像每个点上的SURF描述符。 SURF 描述符使用积分图像来计算描述符

% Create Integral Image
iimg=IntegralImage_IntegralImage(img);

然后提取兴趣点

FastHessianData.thresh = Options.tresh;
FastHessianData.octaves = Options.octaves;
FastHessianData.init_sample = Options.init_sample;
FastHessianData.img = iimg;
ipts = FastHessian_getIpoints(FastHessianData,Options.verbose)
% Describe the interest points
if(~isempty(ipts))
    ipts = SurfDescriptor_DecribeInterestPoints(ipts,Options.upright, Options.extended, iimg, Options.verbose);
end

获得积分的函数

function ipts=FastHessian_getIpoints(FastHessianData,verbose)
% filter index map

filter_map = [0,1,2,3;
    1,3,4,5;
    3,5,6,7;
    5,7,8,9;
    7,9,10,11]+1;

np=0; ipts=struct;

% Build the response map
responseMap=FastHessian_buildResponseMap(FastHessianData);

% Find the maxima acrros scale and space
for o = 1:FastHessianData.octaves
    for i = 1:2
        b = responseMap{filter_map(o,i)};
        m = responseMap{filter_map(o,i+1)};
        t = responseMap{filter_map(o,i+2)};

        % loop over middle response layer at density of the most
        % sparse layer (always top), to find maxima across scale and space
        [c,r]=ndgrid(0:t.width-1,0:t.height-1);
        r=r(:); c=c(:);

        p=find(FastHessian_isExtremum(r, c, t, m, b,FastHessianData));
        for j=1:length(p);
            ind=p(j);
            [ipts,np]=FastHessian_interpolateExtremum(r(ind), c(ind), t, m, b, ipts,np);
        end
    end
end

% Show laplacian and response maps with found interest-points
if(verbose)
    % Show the response map
    if(verbose)
        fig_h=ceil(length(responseMap)/3);
        h=figure;  set(h,'name','Laplacian');
        for i=1:length(responseMap), 
            pic=reshape(responseMap{i}.laplacian,[responseMap{i}.width responseMap{i}.height]);
            subplot(3,fig_h,i); imshow(pic,[]); hold on;
        end
        h=figure; set(h,'name','Responses');
        h_res=zeros(1,length(responseMap));
        for i=1:length(responseMap), 
            pic=reshape(responseMap{i}.responses,[responseMap{i}.width responseMap{i}.height]);
            h_res(i)=subplot(3,fig_h,i); imshow(pic,[]); hold on;
        end
    end

    % Show the maximum points
    disp(['Number of interest points found ' num2str(np)]);
    scales=zeros(1,length(responseMap));
    scaley=zeros(1,length(responseMap));
    scalex=zeros(1,length(responseMap));
    for i=1:length(responseMap)
        scales(i)=responseMap{i}.filter*(2/15);
        scalex(i)=responseMap{i}.width/size(FastHessianData.img,2);
        scaley(i)=responseMap{i}.height/size(FastHessianData.img,1);
    end
    for i=1:np
        [t,ind]=min((scales-ipts(i).scale).^2);
        plot(h_res(ind),ipts(i).y*scaley(ind)+1,ipts(i).x*scalex(ind)+1,'o','color',rand(1,3));
    end
end

如何在不做这一步检测的情况下保留所有的点，然后用SURF描述符来描述所有的点。

Answer 1

在您的代码中，您清楚地将检测器和描述符函数分开：

FastHessian_getIpoints returns 有趣的关键点列表
SurfDescriptor_DecribeInterestPoints 计算给定点的 SURF 描述符。

只需摆脱您的检测器并调用提供图像中所有点作为输入的描述符函数。

因此变量 ipts 将包含所有点，而不是仅包含关键点检测器返回的点

我可以得到图像每个点的描述符 SURF

Can I get a descriptor SURF of each point of image

image

matlab

surf

descriptor