Statistical Acquisition of Texture Appearance

Ngan, Addy; Durand, Frédo

Statistical Acquisition of Texture Appearance

Files

031-040.pdf (554.61 KB)

file127-2.avi (39.31 MB)

Date

2006

Authors

Ngan, Addy
Durand, Frédo

Publisher

The Eurographics Association

Abstract

We propose a simple method to acquire and reconstruct material appearance with sparsely sampled data. Our technique renders elaborate view- and light-dependent effects and faithfully reproduces materials such as fabrics and knitwears. Our approach uses sparse measurements to reconstruct a full six-dimensional Bidirectional Texture Function (BTF). Our reconstruction only require input images from the top view to be registered, which is easy to achieve with a fixed camera setup. Bidirectional properties are acquired from a sparse set of viewing directions through image statistics and therefore precise registrations for these views are unnecessary. Our technique is based on multi-scale histograms of image pyramids. The full BTF is generated by matching the corresponding pyramid histograms to interpolated top-view images.We show that the use of multi-scale image statistics achieves a visually plausible appearance. However, our technique does not fully capture sharp specularities or the geometric aspects of parallax. Nonetheless, a large class of materials can be reproduced well with our technique, and our statistical characterization enables acquisition of such materials efficiently using a simple setup.

        @inproceedings{:10.2312/EGWR/EGSR06/031-040
,
booktitle = {Symposium on Rendering
},
editor = {Tomas Akenine-Moeller and Wolfgang Heidrich
},
title = {{Statistical Acquisition of Texture Appearance
}},
author = {Ngan, Addy and 
Durand, Frédo
},
year = {2006
},
publisher = {The Eurographics Association
},
ISSN = {1727-3463
},
ISBN = {3-905673-35-5
},
DOI = {/10.2312/EGWR/EGSR06/031-040
}
}