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. © 2012 Springer-Verlag Berlin Heidelberg.
CITATION STYLE
Torkhani, F., Wang, K., & Chassery, J. M. (2012). A curvature tensor distance for mesh visual quality assessment. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7594 LNCS, pp. 253–263). Springer Verlag. https://doi.org/10.1007/978-3-642-33564-8_31
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