9781681732640-1681732645-Virtual Material Acquisition and Representation for Computer Graphics (Synthesis Lectures on Visual Computing: Computer Graphics, Animation, Computational Photography and Imaging)

Virtual Material Acquisition and Representation for Computer Graphics (Synthesis Lectures on Visual Computing: Computer Graphics, Animation, Computational Photography and Imaging)

ISBN-13: 9781681732640
ISBN-10: 1681732645
Author: Brian A. Barsky, Darya Guarnera, Giuseppe Claudio Guarnera
Publication date: 2018
Publisher: Morgan & Claypool Publishers
Format: Hardcover 102 pages
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Book details

ISBN-13: 9781681732640
ISBN-10: 1681732645
Author: Brian A. Barsky, Darya Guarnera, Giuseppe Claudio Guarnera
Publication date: 2018
Publisher: Morgan & Claypool Publishers
Format: Hardcover 102 pages

Summary

Virtual Material Acquisition and Representation for Computer Graphics (Synthesis Lectures on Visual Computing: Computer Graphics, Animation, Computational Photography and Imaging) (ISBN-13: 9781681732640 and ISBN-10: 1681732645), written by authors Brian A. Barsky, Darya Guarnera, Giuseppe Claudio Guarnera, was published by Morgan & Claypool Publishers in 2018. With an overall rating of 4.4 stars, it's a notable title among other Graphics & Design (Graphics & Multimedia, Programming, Software Design, Testing & Engineering, Digital Audio, Video & Photography ) books. You can easily purchase or rent Virtual Material Acquisition and Representation for Computer Graphics (Synthesis Lectures on Visual Computing: Computer Graphics, Animation, Computational Photography and Imaging) (Hardcover) from BooksRun, along with many other new and used Graphics & Design books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.3.

Description

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.

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