A Curvature Tensor Distance for Mesh Visual Quality Assessment

  • Fakhri Torkhani
  • Kai Wang
  • Jean-Marc Chassery
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7594)


This paper presents a new objective metric for assessing the visual difference between a reference or ‘perfect’ mesh and its distorted version. The proposed metric is based on the measurement of a distance between curvature tensors of the two triangle meshes under comparison. Unlike existing methods, our algorithm uses not only eigenvalues but also eigenvectors of the curvature tensor to derive a perceptually-oriented distance. Our metric also accounts for some important properties of the human visual system. Experimental results show good coherence between the proposed objective metric and subjective assessments.


Curvature Tensor Principal Direction Psychometric Function Mean Opinion Score Image Quality Assessment 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Fakhri Torkhani
    • 1
  • Kai Wang
    • 1
  • Jean-Marc Chassery
    • 1
  1. 1.Gipsa-labCNRS UMR 5216GrenobleFrance

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