Face Detection Using GPU-Based Convolutional Neural Networks

Authors:
Fabian Nasse;Christian Thurau;Gernot A. Fink
Affiliations:
Department of Computer Science, TU Dortmund University, Dortmund, Germany;Fraunhofer IAIS, Sankt Augustin, Germany;Department of Computer Science, TU Dortmund University, Dortmund, Germany
Venue:
CAIP '09 Proceedings of the 13th International Conference on Computer Analysis of Images and Patterns
Year:
2009

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Abstract

In this paper, we consider the problem of face detection under pose variations. Unlike other contributions, a focus of this work resides within efficient implementation utilizing the computational powers of modern graphics cards. The proposed system consists of a parallelized implementation of convolutional neural networks (CNNs) with a special emphasize on also parallelizing the detection process. Experimental validation in a smart conference room with 4 active ceiling-mounted cameras shows a dramatic speed-gain under real-life conditions.