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Ultra Fast GPU Assisted Face Recognition Based on 3D Geometry and Texture Data

  • Andrea Francesco Abate
  • Michele Nappi
  • Stefano Ricciardi
  • Gabriele Sabatino
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4142)

Abstract

Face recognition represents a challenging research topic which has been investigated by means of many techniques operating either in 2D or 3D, and, more recently, even through multi-modal approaches. Whatever the methodology used to compare any two faces, the main concern has been on recognition accuracy, often disregarding the efficiency issue which may be crucial in a large scale one-to-many recognition application. This paper presents a Graphic Processing Unit (GPU) assisted face recognition method, operating on 4D data (geometry + texture). It exploits augmented normal map, a 32 bit deep color bitmap, as face descriptor, allowing ultra fast face comparison through the specialized hardware (pixel shaders) available in almost any recently designed PC graphic boards. The proposed approach addresses facial expression changes and presence of beard by means of two (subject specific) filtering masks. We include preliminary experimental results on a large gallery of faces.

Keywords

Face Recognition Graphic Processing Unit Iterative Close Point Iterative Close Point Face Recognition Method 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Andrea Francesco Abate
    • 1
  • Michele Nappi
    • 1
  • Stefano Ricciardi
    • 1
  • Gabriele Sabatino
    • 1
  1. 1.Dipartimento di Matematica e InformaticaUniversità degli Studi di SalernoFisciano (SA)Italy

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