LIRIS 3D Model Masking database
Description
The package contains: 26 models between 9K and 40K vertices were generated from 4 reference objects. The only distortion is noise addition applied with three strengths, either on smooth or rough regions. Subjective evaluations were made at normal viewing distance, using a Multiple Stimulus Impairment Scale method with 11 observers. A Microsoft excel document giving all subjective quality scores is included in the above archive. It contains also Mean Opinion Scores after normalization and outlier removal. An other Microsoft excel document provides the objective scores of several recent perceptual metrics from the state of the art.
Access
ZIP archive (~18MB): Link: http://liris.cnrs.fr/guillaume.lavoue/data/LIRIS_Mask.zip
References and Citation
The database was created at LIRIS, Université de Lyon. It you use it, please cite [Lav09].
References
LC10b: Lavoué G, Corsini M. A comparison of perceptually-based metrics for objective evaluation of geometry processing. IEEE Transactions on Multimedia. 2010;12(7):636-649.Lav09: Lavoué G. A local roughness measure for 3D meshes and its application to visual masking. ACM Transactions on Applied Perception (TAP). 2009;5(4).