3D Face Recognition Using Orientation Maps

  • B. H. Shekar
  • N. Harivinod
  • M. Sharmila Kumari
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 192)


In this work we present a new 3D face recognition method based on orientation maps. The proposed model consists of a method for extracting distinctive features from range images of face that can be used to perform reliable matching between different poses of a face. For a 3D face scan, range image is computed and the potential interest points are identified by searching at all scales. Based on the stability of the interest point, significant points are extracted. For each significant point, we compute the significant point descriptor which consists of vector made of values from the convolved orientation maps located on concentric circles centred on the significant point, and where the amount of Gaussian smoothing is proportional to the radii of the circles. Experiments have been conducted on the standard 3D face image database. Experiments show that the newly proposed method provides higher recognition rate compared to other existing contemporary models developed for 3D face recognition.


Range Image Local descriptor Orientation map 3D face recognition 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • B. H. Shekar
    • 1
  • N. Harivinod
    • 1
  • M. Sharmila Kumari
    • 2
  1. 1.Department of Computer ScienceMangalore UniversityIndia
  2. 2.Department of Computer Science and EngineeringP.A. College of EngineeringMangaloreIndia

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