Objective and Subjective Evaluation of Virtual Relighting from Reflectance Transformation Imaging Data

Pintus, Ruggero; Dulecha, Tinsae; Jaspe, Alberto; Giachetti, Andrea; Ciortan, Irina; Gobbetti, Enrico

Objective and Subjective Evaluation of Virtual Relighting from Reflectance Transformation Imaging Data

Files

087-096.pdf (4.8 MB)

Date

2018

Authors

Pintus, Ruggero
Dulecha, Tinsae
Jaspe, Alberto
Giachetti, Andrea
Ciortan, Irina
Gobbetti, Enrico

Publisher

The Eurographics Association

Abstract

Reflectance Transformation Imaging (RTI) is widely used to produce relightable models from multi-light image collections. These models are used for a variety of tasks in the Cultural Heritage field. In this work, we carry out an objective and subjective evaluation of RTI data visualization. We start from the acquisition of a series of objects with different geometry and appearance characteristics using a common dome-based configuration. We then transform the acquired data into relightable representations using different approaches: PTM, HSH, and RBF. We then perform an objective error estimation by comparing ground truth images with relighted ones in a leave-one-out framework using PSNR and SSIM error metrics. Moreover, we carry out a subjective investigation through perceptual experiments involving end users with a variety of backgrounds. Objective and subjective tests are shown to behave consistently, and significant differences are found between the various methods. While the proposed analysis has been performed on three common and state-of-the-art RTI visualization methods, our approach is general enough to be extended and applied in the future to new developed multi-light processing pipelines and rendering solutions, to assess their numerical precision and accuracy, and their perceptual visual quality.

        @inproceedings{10.2312:gch.20181344
,
booktitle = {Eurographics Workshop on Graphics and Cultural Heritage
},
editor = {Sablatnig, Robert and Wimmer, Michael
},
title = {{Objective and Subjective Evaluation of Virtual Relighting from Reflectance Transformation Imaging Data
}},
author = {Pintus, Ruggero and 
Dulecha, Tinsae and 
Jaspe, Alberto and 
Giachetti, Andrea and 
Ciortan, Irina and 
Gobbetti, Enrico
},
year = {2018
},
publisher = {The Eurographics Association
},
ISSN = {2312-6124
},
ISBN = {978-3-03868-057-4
},
DOI = {10.2312/gch.20181344
}
}