Extrapolating Large-Scale Material BTFs under Cross-Device Constraints
David Bommes, Tobias Ritschel, and Thomas Schultz (Editors)
In proceedings of Vision, Modeling & Visualization, pages 143-150, The Eurographics Association, 2015
Abstract
In this paper, we address the problem of acquiring bidirectional texture functions (BTFs) of large-scale material samples. Our approach fuses gonioreflectometric measurements of small samples with few constraint images taken on a flatbed scanner under semi-controlled conditions. Underlying our method is a lightweight texture synthesis scheme using a local texture descriptor that combines shading and albedo across devices. Since it operates directly on SVD-compressed BTF data, our method is computationally efficient and can be implemented on a moderate memory footprint.
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Bibtex
@INPROCEEDINGS{steinhausen2015crossdevice, author = {Steinhausen, Heinz Christian and den Brok, Dennis and Hullin, Matthias B. and Klein, Reinhard}, editor = {Bommes, David and Ritschel, Tobias and Schultz, Thomas}, pages = {143--150}, title = {Extrapolating Large-Scale Material BTFs under Cross-Device Constraints}, booktitle = {Vision, Modeling {\&} Visualization}, year = {2015}, publisher = {The Eurographics Association}, abstract = {In this paper, we address the problem of acquiring bidirectional texture functions (BTFs) of large-scale material samples. Our approach fuses gonioreflectometric measurements of small samples with few constraint images taken on a flatbed scanner under semi-controlled conditions. Underlying our method is a lightweight texture synthesis scheme using a local texture descriptor that combines shading and albedo across devices. Since it operates directly on SVD-compressed BTF data, our method is computationally efficient and can be implemented on a moderate memory footprint.}, isbn = {978-3-905674-95-8}, doi = {10.2312/vmv.20151269} }