Bidirectional texture contrast function

S.C. Pont, J.J. Koenderink

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Abstract

We consider image texture due to the illumination of 3D surface corrugations on globally smooth curved surfaces. The same surface corrugations give rise to different image textures depending on illumination and viewing geometries. We study surfaces that are on the average approximately Lambertian. The surface roughness gives rise to luminance modulations of the global shading pattern. The extreme values of the luminance depend on simple geometrical factors such as whether surface micro facets exist that squarely face the light source or are in shadow. We find that a simple microfacet-based model suffices to describe textures in natural scenes robustly in a semi-quantitative manner. Robust statistical measures of the texture yield the parameters for simple models that allow prediction of the BRDF. Thus texture analysis allows the input parameters for inverse rendering and material recognition to be estimated.
Original languageEnglish
Title of host publicationComputer Vision — ECCV 2002
Subtitle of host publication7th European Conference on Computer Vision Copenhagen, Denmark, May 28–31, 2002 Proceedings
EditorsAnders Heyden, Gunnar Sparr, Mads Nielsen, Peter Johansen
Pages808-822
Number of pages15
VolumeIV
ISBN (Electronic)978-3-540-47979-6
DOIs
Publication statusPublished - 2002

Publication series

NameLecture Notes in Computer Science
Volume2353
ISSN (Print)0302-9743

Keywords

  • Texture
  • shading and colour
  • Image features
  • Surface geometry
  • Inverse rendering

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