adjustlogprob.m

It is for Face Recognition

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% function adjustLogProb()
%   z.li, 12-10-2003.
%   adjust log prob with geo and scale constraint
% function dependency:
%   - n/a
% input:
%   angDiff - eye pair angle - mouth line angle
%   minScale - maxScale-minScale, should be zero mean
%   maxScale - maxScale-minScale, should be zero mean
%   d, a, b - eyes-mouth triangle len in pels
% output:
%   logp   - prob
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%function [logp]=adjustLogProb(angDiff, minScale, maxScale, d,a,b)
function [logp]=adjustLogProb(angDiff, minScale, maxScale, d,a,b)
 dbg = 'n';
 if dbg=='y'
    clear;
    angDiff =pi/40;
    minScale = 4; maxScale = 4;
    d=34; a=45; b=44;
    [angDiff minScale maxScale d a b]
 end
 
 % const 
 kAng           = 2.5;
 kScale         = 0.5;
 kSym           = 0.5;
 kScaleDist     = 0.5;
 kMaxMinDMean   = 45/34;
 kScaleDistMean = 45/4;


 % angle diff
 logp = -kAng*angDiff;

 % scale diff
 logp = logp - kScale*(maxScale-minScale);

 % symetry variation
 maxd = max([d a b]);
 mind = min([d a b]);
 symVar = abs(maxd/mind - kMaxMinDMean);
 logp = logp - kSym*symVar;

 % scale-distance var
 sdVar = abs(maxd/minScale - kScaleDistMean);
 logp = logp - kScaleDist*sdVar;