Frontal face generation from multiple low-resolution non-frontal faces for face recognition

Abstract

We propose a method of frontal face generation from multiple low-resolution non-frontal faces for face recognition. The proposed method achieves an image-based face pose transformation by using the information obtained from multiple input face images without considering three-dimensional face structure. To achieve this, we employ a patch-wise image transformation strategy that calculates small image patches in the output frontal face from patches in the multiple input non-frontal faces by using a face image dataset. The dataset contains faces of a large number of individuals other than the input one. Using frontal face images actually transformed from low-resolution non-frontal face images, two kinds of experiments were conducted. The experimental results demonstrates that increasing the number of input images improves the RMSEs and the recognition rates for low-resolution face images. © 2011 Springer-Verlag Berlin Heidelberg.