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Communication Dans Un Congrès Année : 2012

A Curvature Tensor Distance for Mesh Visual Quality Assessment

Résumé

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. The metric also accounts for some important properties of the human visual system. Experimental results show good coherence between the proposed objective metric and the subjective assessment.
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Dates et versions

hal-00719315 , version 1 (19-07-2012)

Identifiants

  • HAL Id : hal-00719315 , version 1

Citer

Fakhri Torkhani, Kai Wang, Jean-Marc Chassery. A Curvature Tensor Distance for Mesh Visual Quality Assessment. ICCVG 2012 - International Conference on Computer Vision and Graphics, Sep 2012, Warsaw, Poland. 253-263, 11 p. ⟨hal-00719315⟩
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