Interpolation-based Dimension Reduction Method for Face Recognition
Zhong Jin · Mini-micro Systems · 2005
This paper puts forward to a new method called interpolation faces based on bi-cubic interpolation for dimension reduction of face images followed by linear discriminant analysis method for discriminant vectors, and this research is similar to traditional eigenfaces method. From the satisfactory experiment results and theoretical analysis, the proposed research method is better than eigenfaces. This method is very valuable to theory research and engineering applications of face recognition.