Improved SOM search algorithm for high-dimensional data with application to face recognition across pose and illumination
Alaa Sagheer · 2010
In this paper we focus on dealing with large size databases. Such databases require the construction of suitable feature spaces to accommodate data. The paper presents a new search algorithm based on the self organizing map (SOM) avoids the high-cost of computation in such cases. The proposed SOM algorithm is combined with support vector machine (SVM) to form a new appearance based approach. The proposed approach is evaluated in face recognition experiments across variations in pose and illumination. A huge-size database is used to judge effectively the proposed approach. The results have compared with another reported approach based on light field theory using same huge database.