資源簡介
檢測復雜自然的視覺突出元素場景,計算自下而上的顯著性模型通常會檢查幾個特征頻道,如顏色和方向并行。他們計算出一個為每個通道單獨分配功能圖,然后線性分配結合這些地圖生成主顯著圖。但是,只有少數研究調查了如何不同的特征尺寸有助于整體視覺顯著性。
論文:Visual saliency estimation by nonlinearly integrating features
using region covariances

代碼片段和文件信息
%?copyright?MERL?Fatih?Porikli?2005
function?[res]?=?covdist(A?B)
[nm]?=?size(A);
e?=?eig(AB);
e?=?real(e);
res?=?0;
for?i=1:n
????if?(e(i)?>?0.0000000000000000000001)
????????v?=?log(e(i));
????????res?=?res+v*v;
????end;
end;
res?=?sqrt(res);
%?e?=?eig(inv(A)*B);
%?e?=?real?(e);
%?res?=?0;
%?for?i=1:n
%?????if?(e(i)?>?0.0000000000000000000001)
%?????????res?=?res+log(e(i))*log(e(i));
%?????end;
%?end;
%?res?=?sqrt(res);
%?
%?siA?=?sqrtm(inv(A));
%?lM?=?logm(siA*B*siA);
%?res?=?trace(lM*lM);
?屬性????????????大小?????日期????時間???名稱
-----------?---------??----------?-----??----
????.......??????6148??2016-01-07?07:59??COV\.DS_Store
????.......???????509??2016-01-07?07:59??COV\covdist.m
????.......??????1240??2016-01-07?07:59??COV\demo.m
????.......???1377742??2016-01-07?07:59??COV\fish.png
????.......???????774??2016-01-07?07:59??COV\GetCOV.m
????.......???????862??2016-01-07?07:59??COV\iicov.m
????.......???????447??2016-01-07?07:59??COV\integralimage.m
????.......??????1811??2016-01-07?07:59??COV\RGB2Lab.m
????.......??????4324??2016-01-07?07:59??COV\saliencymap.m
????.......???????643??2016-01-07?07:59??COV\sointegralimage.m
?????目錄??????????0??2018-05-29?16:42??COV
-----------?---------??----------?-----??----
??????????????1394500????????????????????11
評論
共有 條評論