multimodelfacerecognition.m

It is for Face Recognition

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% function multiModelFaceRecognition()
%   z.li, 09-09-2004
%   demo face recognition.
% function dependency:
%   - multiModeFaceRecognition()
% input:
%   Fm1, Fm2, Fm3 - face models
%   ids, poses   - known persons' face image poses
%   qId, qPose - unknown face
% output:
%   recId   - recognized person id
%   recIds  - recog results from all models
%   modelErrs - model err rate estimates
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%function [recId, recIds, modelErrs]=multiModelFaceRecognition(Fm1, Fm2, Fm3, ids, poses, qId, qPose)
function [recId, recIds, modelErrs]=multiModelFaceRecognition(Fm1, Fm2, Fm3, ids, poses, qId, qPose)

% const
wt1=ones(16);R1=640; wt2=ones(12);R2=600; wt3=ones(20);R3=1000;

% recognition by each model
[recId1, nnId1, fdaId1, knlId1, recErr1, fdaErr1, knlErr1, m1]=multiModeFaceRecognition(Fm1, ids, poses, qId, qPose, wt1, R1);
[recId2, nnId2, fdaId2, knlId2, recErr2, fdaErr2, knlErr2, m2]=multiModeFaceRecognition(Fm2, ids, poses, qId, qPose, wt2, R2);
[recId3, nnId3, fdaId3, knlId3, recErr3, fdaErr3, knlErr3, m3]=multiModeFaceRecognition(Fm3, ids, poses, qId, qPose, wt3, R3);      

% combine recog results
recIds = [recId1 recId2 recId3];
modelErrs=[recErr1, recErr2, recErr3];                  
[minErr, mink]=min(modelErrs);            
recId =recIds(mink);  

% force full face model if a tie on min err 
if recErr3 == minErr
   recId = recId3; mink=3;
end
fprintf('\n recId=%d recIds=[%d %d %d] modelErrs=[%1.4f %1.4f %1.4f]', recId, recIds, modelErrs);