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Principles of Appearance Acquisition and Representation

  • Tim Weyrich 1
  • Jason Lawrence 2
  • Hendrik P. A. Lensch 3
  • Szymon Rusinkiewicz 4
  • Todd Zickler 5

[1]Tim Weyrich, Princeton University, USA, tweyrich@cs.princeton.edu [2]Jason Lawrence, University of Virginia, USA, jdl@cs.virginia.edu [3]Hendrik P. A. Lensch, Ulm University, Institute for Media Informatics, Germany, hendrik.lensch@uni-ulm.de [4]Szymon Rusinkiewicz, Princeton University, USA, smr@cs.princeton.edu [5]Todd Zickler, Harvard University, USA, zickler@eecs.harvard.edu

Short description

Principles of Appearance Acquisition and Representation presents an introduction to appearance capture and suitable representations, together with a description of selected work that measures the spatially- and directionally-varying reflectance and subsurface scattering properties of complex materials.

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Table of contents

1. Radiometry and Appearance Models
2. Principles of Acquisition
3. Spatially- (and Temporally-) Varying Reflectance Models
4. From BSSRDF to 8D Reflectance Fields
5. Acquiring Human Face Appearance
6. Open Problems and Future Work
References

Foundations and Trends® in Computer Graphics and Vision

(Vol 4, Issue 2, 2008, pp 75-191)

DOI: 10.1561/0600000022

Abstract

Algorithms for scene understanding and realistic image synthesis require accurate models of the way real-world materials scatter light. This study describes recent work in the graphics community to measure the spatially- and directionally-varying reflectance and subsurface scattering of complex materials, and to develop efficient representations and analysis tools for these datasets. We describe the design of acquisition devices and capture strategies for reflectance functions such as BRDFs and BSSRDFs, efficient factored representations, and a case study of capturing the appearance of human faces.

Table of contents

1. Radiometry and Appearance Models
2. Principles of Acquisition
3. Spatially- (and Temporally-) Varying Reflectance Models
4. From BSSRDF to 8D Reflectance Fields
5. Acquiring Human Face Appearance
6. Open Problems and Future Work
References
Cover image for Principles of Appearance Acquisition and Representation

Principles of Appearance Acquisition and Representation

136 pages

DOI: 10.1561/9781601982551

E-ISBN: 978-1-60198-255-1

ISBN: 978-1-60198-254-4

Description

Algorithms for scene understanding and realistic image synthesis require accurate models of the way real-world materials scatter light. Principles of Appearance Acquisition and Representation presents an introduction to appearance capture and suitable representations, together with a description of selected work that measures the spatially- and directionally-varying reflectance and subsurface scattering properties of complex materials. It covers the basic principles of how materials are described, how the appearance of real-world objects may be measured, and how a knowledge of appearance aids in a variety of applications.

Principles of Appearance Acquisition and Representation is an ideal reference for students, researchers and professionals needing a primer on the topic. It can also be used as a basis for a short course on the topic, as it concludes with a case study on appearance acquisition of human faces and an extensive bibliography of over 200 references.