Efficient Quadrature Rules for Illumination Integrals (Record no. 85533)

000 -LEADER
fixed length control field 03839nam a22005295i 4500
001 - CONTROL NUMBER
control field 978-3-031-79567-1
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240730164306.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 220601s2015 sz | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9783031795671
-- 978-3-031-79567-1
082 04 - CLASSIFICATION NUMBER
Call Number 510
100 1# - AUTHOR NAME
Author Marques, Ricardo.
245 10 - TITLE STATEMENT
Title Efficient Quadrature Rules for Illumination Integrals
Sub Title From Quasi Monte Carlo to Bayesian Monte Carlo /
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2015.
300 ## - PHYSICAL DESCRIPTION
Number of Pages X, 82 p.
490 1# - SERIES STATEMENT
Series statement Synthesis Lectures on Computer Graphics and Animation,
505 0# - FORMATTED CONTENTS NOTE
Remark 2 Introduction -- Spherical Fibonacci Point Sets for QMC Estimates of Illumination Integrals -- Bayesian Monte Carlo for Global Illumination -- Bibliography -- Authors' Biographies.
520 ## - SUMMARY, ETC.
Summary, etc Rendering photorealistic images is a costly process which can take up to several days in the case of high quality images. In most cases, the task of sampling the incident radiance function to evaluate the illumination integral is responsible for an important share of the computation time. Therefore, to reach acceptable rendering times, the illumination integral must be evaluated using a limited set of samples. Such a restriction raises the question of how to obtain the most accurate approximation possible with such a limited set of samples. One must thus ensure that sampling produces the highest amount of information possible by carefully placing and weighting the limited set of samples. Furthermore, the integral evaluation should take into account not only the information brought by sampling but also possible information available prior to sampling, such as the integrand smoothness. This idea of sparse information and the need to fully exploit the little information available is present throughout this book. The presented methods correspond to the state-of-the-art solutions in computer graphics, and take into account information which had so far been underexploited (or even neglected) by the previous approaches. The intended audiences are Ph.D. students and researchers in the field of realistic image synthesis or global illumination algorithms, or any person with a solid background in graphics and numerical techniques.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
General subdivision Digital techniques.
700 1# - AUTHOR 2
Author 2 Bouville, Christian.
700 1# - AUTHOR 2
Author 2 Santos, Luís Paulo.
700 1# - AUTHOR 2
Author 2 Bouatouch, Kadi.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://doi.org/10.1007/978-3-031-79567-1
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
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-- Cham :
-- Springer International Publishing :
-- Imprint: Springer,
-- 2015.
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-- text
-- txt
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-- computer
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-- rdamedia
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-- online resource
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-- text file
-- PDF
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650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Mathematics.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Image processing
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computer vision.
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Mathematics.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computer Imaging, Vision, Pattern Recognition and Graphics.
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
-- 1933-9003
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-- ZDB-2-SXSC

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