A Fully Object-space Approach for Full-reference Visual Quality Assessment of Static and Animated 3D Meshes

Zeynep Cipiloglu Yildiz, Tolga Capin

2019

Abstract

3D mesh models are exposed to several geometric operations such as simplification and compression. Several metrics for evaluating the perceived quality of 3D meshes have already been developed. However, most of these metrics do not handle animation and they measure the global quality. Therefore, a full-reference perceptual error metric is proposed to estimate the detectability of local artifacts on animated meshes. This is a bottom-up approach in which spatial and temporal sensitivity models of the human visual system are integrated. The proposed method directly operates in 3D model space and generates a 3D probability map that estimates the visibility of distortions on each vertex throughout the animation sequence. We have also tested the success of our metric on public datasets and compared the results to other metrics. These results reveal a promising correlation between our metric and human perception.

Paper Citation

in Harvard Style

Yildiz Z. and Capin T. (2019). A Fully Object-space Approach for Full-reference Visual Quality Assessment of Static and Animated 3D Meshes. In Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2019) - Volume 1: GRAPP; ISBN 978-989-758-354-4, SciTePress, pages 169-176. DOI: 10.5220/0007245001690176

in Bibtex Style

@conference{grapp19,
author={Zeynep Cipiloglu Yildiz and Tolga Capin},
title={A Fully Object-space Approach for Full-reference Visual Quality Assessment of Static and Animated 3D Meshes},
booktitle={Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2019) - Volume 1: GRAPP},
year={2019},
pages={169-176},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007245001690176},
isbn={978-989-758-354-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2019) - Volume 1: GRAPP
TI - A Fully Object-space Approach for Full-reference Visual Quality Assessment of Static and Animated 3D Meshes
SN - 978-989-758-354-4
AU - Yildiz Z.
AU - Capin T.
PY - 2019
SP - 169
EP - 176
DO - 10.5220/0007245001690176
PB - SciTePress