Automatic Eyes and Nose Detection Using Curvature Analysis

  • J. Matías Di MartinoEmail author
  • Alicia Fernández
  • José Ferrari
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9423)


In the present work we propose a method for detecting the nose and eyes position when we observe a scene that contains a face. The main goal of the proposed technique is that it capable of bypassing the 3D explicit mapping of the face and instead take advantage of the information available in the Depth gradient map of the face. To this end we will introduce a simple false positive rejection approach restricting the distance between the eyes, and between the eyes and the nose. The main idea is to use nose candidates to estimate those regions where is expected to find the eyes, and vice versa. Experiments with Texas database are presented and the proposed approach is testes when data presents different power of noise and when faces are in different positions with respect to the camera.


Landmark detection Differential 3d reconstruction Nose tip detection Eyes detection 


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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • J. Matías Di Martino
    • 1
    Email author
  • Alicia Fernández
    • 1
  • José Ferrari
    • 1
  1. 1.Facultad de IngenieríaUniversidad de la RepúblicaMontevideoUruguay

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