3D reconstruction and face recognition using kernel-based ICA and neural networks

► We propose an improved kernel-independent component analysis method to reconstruct 3D human faces. ► A three-layer feed-forward neural network trained by a back-propagation algorithm is used to realize a classifier. ► The experimental results demonstrate that the proposed method is efficient in reconstruction and face recognition applications.