In this paper, we propose a novel framework for face super-resolution based on a layered predictor network. In the first layer, multiple predictors are trained online with a dynami...
Abstract. In this work we propose a new method to create neural network ensembles. Our methodology develops over the conventional technique of bagging, where multiple classifiers ...
In this paper, we present the classification sub-system of a real-time video-based face identification system which recognizes people entering through the door of a laboratory. Si...
Johannes Stallkamp, Hazim Kemal Ekenel, Rainer Sti...
In this paper, we introduce a new approach for partial 3D face recognition, which makes use of shape decomposition over the rigid1 part of a face. To explore the descriptiveness o...
Recently many Automatic Face Recognition (AFR) systems were developed for applications with unspecific persons, which is different from conventional pattern recognition problems wh...