An Adaptive Metric for BRDF Appearance Matching

Bieron, James; Peers, Pieter

An Adaptive Metric for BRDF Appearance Matching

Files

001-004.pdf (6.63 MB)

Date

2020

Authors

Bieron, James
Peers, Pieter

Publisher

The Eurographics Association

Abstract

Image-based BRDF matching is a special case of inverse rendering, where the parameters of a BRDF model are optimized based on a photograph of a homogeneous material under natural lighting. Using a perceptual image metric, directly optimizing the difference between a rendering and a reference image can provide a close visual match between the model and reference material. However, perceptual image metrics rely on image-features and thus require full resolution renderings that can be costly to produce especially when embedded in a non-linear search procedure for the optimal BRDF parameters. Using a pixel-based metric, such as the squared difference, can approximate the image error from a small subset of pixels. Unfortunately, pixel-based metrics are often a poor approximation of human perception of the material's appearance. We show that comparable quality results to a perceptual metric can be obtained using an adaptive pixel-based metric that is optimized based on the appearance similarity of the material. As the core of our adaptive metric is pixel-based, our method is amendable to imagesubsampling, thereby greatly reducing the computational cost.

        @inproceedings{10.2312:mam.20201137
,
booktitle = {Workshop on Material Appearance Modeling
},
editor = {Klein, Reinhard and Rushmeier, Holly
},
title = {{An Adaptive Metric for BRDF Appearance Matching
}},
author = {Bieron, James and 
Peers, Pieter
},
year = {2020
},
publisher = {The Eurographics Association
},
ISSN = {2309-5059
},
ISBN = {978-3-03868-108-3
},
DOI = {10.2312/mam.20201137
}
}