Perceptual Metrics Quality: Comparative Study for 3D Static Meshes

Nessrine Elloumi, Habiba Loukil Hadj Kacem, Nilanjan Dey, Amira S. Ashour and Med Salim Bouhlel
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Nessrine Elloumi: Higher Institute of Biotechnology, Sfax, Tunisia
Habiba Loukil Hadj Kacem: ISGI, Sfax, Tunisia
Nilanjan Dey: Department of Information Technology, Techno India College of Technology, Kolkata, India
Amira S. Ashour: Computers and Information Technology College, Tanta, EG
Med Salim Bouhlel: Unit Sciences and Technologies of Image and Telecommunications (SETIT), Sfax, Tunisia

International Journal of Service Science, Management, Engineering, and Technology (IJSSMET), 2017, vol. 8, issue 1, 63-80

Abstract: A 3D mesh can be subjected to different types of operations, such as compression, watermarking etc. Such processes lead to geometric distortions compared to the original version. In this context, quantifying the resultant modifications to the original mesh and evaluating the perceptual quality of degraded meshes become a critical issue. The perceptual 3D meshes quality is central in several applications to preserve the visual appearance of these treatments. The used metrics results have to be well correlated to the visual perception of humans. Although there are objective metrics, they do not allow the prediction of the perceptual quality, and do not include the human visual system properties. In the current work, a comparative study between the perceptual quality assessment metrics for 3D meshes was conducted. The experimental study on subjective database published by LIRIS / EPFL was used to test and to validate the results of six metrics. The results established that the Mesh Structural Distortion Measure metric achieved superior results compared to the other metrics.

Date: 2017
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