Publication
In this paper we propose a new approach to automatic human face detection which employs anisotropic Gaussian filters as local image descriptors. We then show how the paradigm of classifier combination can be used for building a face detector that outperforms the current stateof theart systems, while remaining fast enough for being used in realtime systems. We report a number of results on some reference datasets and we use an unbiased method for comparing the detectors.
Davide Scaramuzza, Titus Cieslewski
Alexandre Massoud Alahi, Saeed Saadatnejad, Taylor Ferdinand Mordan
Ivo Furno, Paolo Ricci, Benoît Labit, Fabio Avino, Federico Nespoli, Federico David Halpern, Fabio Riva