Virtual Material Acquisition and Representation for Computer Graphics. Dar'ya Guarnera
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      High Fidelity Haptic Rendering

      Miguel A. Otaduy and Ming C. Lin

      2006

      A Blossoming Development of Splines

      Stephen Mann

      2006

      Copyright © 2018 by Morgan & Claypool

      All rights reserved. No part of this publication may be reproduced, stored in a retrieval system, or transmitted in any form or by any means—electronic, mechanical, photocopy, recording, or any other except for brief quotations in printed reviews, without the prior permission of the publisher.

      Virtual Material Acquisition and Representation for Computer Graphics

      Dar’ya Guarnera and Giuseppe Claudio Guarnera

       www.morganclaypool.com

      ISBN: 9781681731452 paperback

      ISBN: 9781681731469 ebook

      ISBN: 9781681732640 hardcover

      DOI 10.2200/S00817ED1V01Y201711VCP030

      A Publication in the Morgan & Claypool Publishers series

      Synthesis Lectures on Visual Computing: Computer Graphics, Animation, Computational Photography, and Imaging

      Lecture #30

      Series Editor: Brian Barsky, University of California, Berkeley

      Series ISSN

      Print 2469-4215 Electronic 2469-4223

       Virtual Material Acquisition and Representation for Computer Graphics

      Dar’ya Guarnera and Giuseppe Claudio Guarnera

      Norwegian University of Science and Technology

       SYNTHESIS LECTURES ON VISUAL COMPUTING #30

Image

       ABSTRACT

      This book provides beginners in computer graphics and related fields a guide to the concepts, models, and technologies for realistic rendering of material appearance. It provides a complete and thorough overview of reflectance models and acquisition setups, along with providing a selection of the available tools to explore, visualize, and render the reflectance data. Reflectance models are under continuous development, since there is still no straightforward solution for general material representations. Every reflectance model is specific to a class of materials. Hence, each has strengths and weaknesses, which the book highlights in order to help the reader choose the most suitable model for any purpose. The overview of the acquisition setups will provide guidance to a reader who needs to acquire virtual materials and will help them to understand which measurement setup can be useful for a particular purpose, while taking into account the performance and the expected cost derived from the required components. The book also describes several recent open source software solutions, useful for visualizing and manipulating a wide variety of reflectance models and data.

       KEYWORDS

      virtual materials, reflectance models, reflectance acquisition, BRDF

       Contents

       Preface

       Acknowledgments

       1 Introduction

       1.1 Challenges

       1.2 Scope of the Book

       2 Reflectance Functions

       2.1 Definition of the BRDF

       2.2 Basic BRDF Models

       3 Models of BRDF

       3.1 Phenomenological Models

       3.1.1 Phenomenological Models for Isotropic Materials

       3.1.2 Phenomenological Models for Anisotropic Materials

       3.2 Physically Based Models

       3.2.1 Physically Based Models for Isotropic Materials

       3.2.2 Physically Based Models for Anisotropic Materials

       3.3 Data-Driven Models

       3.3.1 Data-Driven Models for Isotropic Materials

       3.3.2 Data-Driven Models for Anisotropic Materials

       3.4 Available Resources for BRDF Data Fitting and Visualisation

       4 Acquisition Setups

       4.1 Gonioreflectometers

       4.2 Image-Based Measurement

       4.3 Catadioptric Measurement Setups

       4.4 Spherical and Hemispherical Gantry

       4.5 LCD Light Source

       4.6 Flash Illumination and Other Capture Setups

       5 Conclusion

       5.1 Conclusion

       Bibliography

       Authors’ Biographies

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