Automatic Facial Feature Points Detection

  • Vitoantonio Bevilacqua
  • Alessandro Ciccimarra
  • Ilenia Leone
  • Giuseppe Mastronardi
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5227)

Abstract

This paper presents an algorithm which detects automatically the feature points in a face image. This is a fundamental task in many applications, in particular in an automatic face recognition system. Starting from a frontal face image with a plain background we have effected an image segmentation to detect the different facial components (eyebrow, eyes, nose, mouth and chin). After this we have searched for the feature points of each face component. The algorithm has been tested on 320 face images taken from the Stirling University Face Database [10]. The points extracted in this way have been used in a face recognition algorithm based on the Hough transform.

Keywords

facial features points face recognition 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Vitoantonio Bevilacqua
    • 1
    • 2
  • Alessandro Ciccimarra
    • 1
  • Ilenia Leone
    • 1
  • Giuseppe Mastronardi
    • 1
    • 2
  1. 1.Dipartimento di Elettrotecnica ed Elettronica Politecnico di Bari BariItaly
  2. 2.e.B.I.S. s.r.l. (electronic Business in Security)Spin-Off of Polytechnic of BariValenzano (BA)Italy

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