LIRIS 3D Model Masking database

Author: INSA Lyon

Partner: Yes

Contact: Guillaume Lavoué (glavoue@liris.cnrs.fr)

Tags: ,

Updated:

Subjective scores: true

Total: 26

SRC: 4

Ratings: 11

Method: MSIS

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).