Representing and Recognizing the Visual Appearance of Materials using Three-dimensional Textons View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2001-06

AUTHORS

Thomas Leung, Jitendra Malik

ABSTRACT

We study the recognition of surfaces made from different materials such as concrete, rug, marble, or leather on the basis of their textural appearance. Such natural textures arise from spatial variation of two surface attributes: (1) reflectance and (2) surface normal. In this paper, we provide a unified model to address both these aspects of natural texture. The main idea is to construct a vocabulary of prototype tiny surface patches with associated local geometric and photometric properties. We call these 3D textons. Examples might be ridges, grooves, spots or stripes or combinations thereof. Associated with each texton is an appearance vector, which characterizes the local irradiance distribution, represented as a set of linear Gaussian derivative filter outputs, under different lighting and viewing conditions. Given a large collection of images of different materials, a clustering approach is used to acquire a small (on the order of 100) 3D texton vocabulary. Given a few (1 to 4) images of any material, it can be characterized using these textons. We demonstrate the application of this representation for recognition of the material viewed under novel lighting and viewing conditions. We also illustrate how the 3D texton model can be used to predict the appearance of materials under novel conditions. More... »

PAGES

29-44

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1023/a:1011126920638

DOI

http://dx.doi.org/10.1023/a:1011126920638

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1046312359


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