Efficient Quadrature Rules For Illumination Integrals: From Quasi Monte Carlo To Bayesian Monte Carlo (Synthesis Lectures On Computer Graphics And Animation) Pdf Epub Book ISBN-10 1627057692, ISBN-13 978-1627057691

Efficient Quadrature Rules For Illumination Integrals: From Quasi Monte Carlo To Bayesian Monte Carlo (Synthesis Lectures On Computer Graphics And Animation)

By autor: Luís Paulo Santos
Computers and Technology ebooks
DMCA

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 se...

Series: Synthesis Lectures on Computer Graphics and Animation
Paperback: 94 pages
Publisher: Morgan & Claypool Publishers (June 1, 2015)
Language: English
ISBN-10: 1627057692
ISBN-13: 978-1627057691
Product Dimensions: 7.5 x 0.2 x 9.2 inches
Amazon Rank: 11405650
Format: PDF ePub Text TXT fb2 book

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Luís Paulo Santos epub
Luís Paulo Santos books
English pdf
Computers and Technology epub books
1627057692 epub

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s. 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.