Eigenspace interpolation for appearance-based object recognition

An eigenspace interpolation method smoothly interpolates between two different eigenspaces using high dimensional rotation. However, up to now its effectiveness in object recognition and the validity of the interpolation algorithm have not been discussed sufficiently. We therefore propose an appearance-based object recognition method combining the eigenspace interpolation method and a subspace method. We conducted face recognition experiments using images captured from multiple camera positions with various illumination conditions. Experimental results demonstrate the effectiveness of the proposed method and the validity of the interpolation algorithm.