Application of Decision Fusion With Feedback in the Face Recognition
Ouyang Nin · Microcomputer Information · 2009
Multi-sensor decision fusion theory is applied to face recognition.Decision fusion needs the lowest communication resource, but has the largest information loss.In this paper,a decision fusion algorithm with feedback based on SVM and D-S is presented to overcome the severe limitations of single-camera face recognition when the subject is not cooperative,or there are pose changes and different illumination conditions,and achieve higher veracity and reliability.Finally,an experiment is taken on my face database that is multi-view and simultaneous,to compare it with voting algorithm and the decision fusion algorithm without feedback information to verify its rationality and validity.