Publication
Anisotropic Gaussian Filters for Face Class Modeling
Abstract
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.
Official source
About this result
This page is automatically generated and may contain information that is not correct, complete, up-to-date, or relevant to your search query. The same applies to every other page on this website. Please make sure to verify the information with EPFL's official sources.