Exploiting Neighboring Pixels Similarity for Effective SV-BRDF Reconstruction from Sparse MLICs
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Date
2021
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association
Abstract
We present a practical solution to create a relightable model from Multi-light Image Collections (MLICs) acquired using standard acquisition pipelines. The approach targets the difficult but very common situation in which the optical behavior of a flat, but visually and geometrically rich object, such as a painting or a bas relief, is measured using a fixed camera taking few images with a different local illumination. By exploiting information from neighboring pixels through a carefully crafted weighting and regularization scheme, we are able to efficiently infer subtle per-pixel analytical Bidirectional Reflectance Distribution Functions (BRDFs) representations from few per-pixel samples. The method is qualitatively and quantitatively evaluated on both synthetic data and real paintings in the scope of image-based relighting applications.
Description
@inproceedings{10.2312:gch.20211412,
booktitle = {Eurographics Workshop on Graphics and Cultural Heritage},
editor = {Hulusic, Vedad and Chalmers, Alan},
title = {{Exploiting Neighboring Pixels Similarity for Effective SV-BRDF Reconstruction from Sparse MLICs}},
author = {Pintus, Ruggero and Ahsan, Moonisa and Marton, Fabio and Gobbetti, Enrico},
year = {2021},
publisher = {The Eurographics Association},
ISSN = {2312-6124},
ISBN = {978-3-03868-141-0},
DOI = {10.2312/gch.20211412}
}