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3D shape reconstruction of Mooney faces

Ira Kemelmacher-Shlizerman,R. Basri,B. Nadler

Published 2008 in 2008 IEEE Conference on Computer Vision and Pattern Recognition

ABSTRACT

Two-tone (ldquoMooneyrdquo) images seem to arouse vivid 3D percept of faces, both familiar and unfamiliar, despite their seemingly poor content. Recent psychological and fMRI studies suggest that this percept is guided primarily by top-down procedures in which recognition precedes reconstruction. In this paper we investigate this hypothesis from a mathematical standpoint. We show that indeed, under standard shape from shading assumptions, a Mooney image can give rise to multiple different 3D reconstructions even if reconstruction is restricted to the Mooney transition curve (the boundary curve between black and white) alone. We then use top-down reconstruction methods to recover the shape of novel faces from single Mooney images exploiting prior knowledge of the structure of at least one face of a different individual. We apply these methods to thresholded images of real faces and compare the reconstruction quality relative to reconstruction from gray level images.

PUBLICATION RECORD

  • Publication year

    2008

  • Venue

    2008 IEEE Conference on Computer Vision and Pattern Recognition

  • Publication date

    2008-06-01

  • Fields of study

    Mathematics, Computer Science, Psychology

  • Identifiers
    DOI 10.1109/CVPR.2008.4587769
  • External record

    Open on Semantic Scholar

  • Source metadata

    Semantic Scholar

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