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Cortical 3D Face and Object Recognition Using 2D Projections

Author

Listed:
  • João Rodrigues

    (University of the Algarve, Portugal)

  • Roberto Lam

    (University of the Algarve, Portugal)

  • Hans du Buf

    (University of the Algarve, Portugal)

Abstract

Empirical studies concerning face recognition suggest that faces may be stored in memory by a few canonical representations. In cortical area V1 exist double-opponent colour blobs, also simple, complex and end-stopped cells which provide input for a multiscale line/edge representation, keypoints for dynamic feature routing, and saliency maps for Focus-of-Attention. All these combined allow faces to be segregated. Events of different facial views are stored in memory and combined to identify the view and recognise a face, including its expression. In this paper, the authors show that with five 2D views and their cortical representations it is possible to determine the left-right and frontal-lateral-profile views, achieving a view-invariant recognition rate of 91%. The authors also show that the same principle with eight views can be applied to 3D object recognition when they are mainly rotated about the vertical axis.

Suggested Citation

  • João Rodrigues & Roberto Lam & Hans du Buf, 2012. "Cortical 3D Face and Object Recognition Using 2D Projections," International Journal of Creative Interfaces and Computer Graphics (IJCICG), IGI Global, vol. 3(1), pages 45-62, January.
    • Handle: RePEc:igg:jcicg0:v:3:y:2012:i:1:p:45-62
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