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Erschienen in:
2012 | OriginalPaper | Buchkapitel
A Curvature Tensor Distance for Mesh Visual Quality Assessment
verfasst von : Fakhri Torkhani, Kai Wang, Jean-Marc Chassery
Erschienen in: Computer Vision and Graphics
Verlag: Springer Berlin Heidelberg
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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.