Exploiting Neighboring Pixels Similarity for Effective SV-BRDF Reconstruction from Sparse MLICs

Loading...
Thumbnail Image
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
} }
Citation