
Proceedings Paper
Quality metric of 3D models using Weber's LawFormat | Member Price | Non-Member Price |
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Paper Abstract
According to its causes and effects, it becomes essential to judge the quality of the model after a treatment, compared to the initial image. In fact, the quality of 3D objects becomes a paramount criterion for any treatment. Many authors proposed descriptors to evaluate the quality or the natural appearance of images. However, it is obvious that the best correlation between the results obtained and human visual perception. We stand out against current trends by avoiding purely developing and mathematical measures, or completely inspired by the HVS (Human Visual System). Indeed our new metric 3DrwPSNR based on the use of Weber's law that takes into account the human visual system. This law translates a logarithmic eye’s perception of light. This property led us to develop a metric that takes into consideration the relative difference of models and not the absolute difference. These measurements prove there are much correlated with the human visual appreciation of the processed 3D objects.
Paper Details
Date Published: 15 March 2019
PDF: 8 pages
Proc. SPIE 11041, Eleventh International Conference on Machine Vision (ICMV 2018), 110410B (15 March 2019); doi: 10.1117/12.2522846
Published in SPIE Proceedings Vol. 11041:
Eleventh International Conference on Machine Vision (ICMV 2018)
Antanas Verikas; Dmitry P. Nikolaev; Petia Radeva; Jianhong Zhou, Editor(s)
PDF: 8 pages
Proc. SPIE 11041, Eleventh International Conference on Machine Vision (ICMV 2018), 110410B (15 March 2019); doi: 10.1117/12.2522846
Show Author Affiliations
Nessrine Elloumi, Univ. of Sfax (Tunisia)
Univ. of Sousse (Tunisia)
Habiba Loukil Hadj Kacem, Univ. of Sfax (Tunisia)
Univ. of Sousse (Tunisia)
Habiba Loukil Hadj Kacem, Univ. of Sfax (Tunisia)
Med Salim Bouhlel, Institut Supérieur de Biotechnologie de Sfax (Tunisia)
Published in SPIE Proceedings Vol. 11041:
Eleventh International Conference on Machine Vision (ICMV 2018)
Antanas Verikas; Dmitry P. Nikolaev; Petia Radeva; Jianhong Zhou, Editor(s)
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