Shadow Algorithms Data Miner (Paperback)

Andrew Woo

ISBN 10: 0367381249 / ISBN 13: 9780367381240

Published by Taylor & Francis Ltd, London, 2019

About this Item

Paperback. Shadow Algorithms Data Miner provides a high-level understanding of the complete set of shadow concepts and algorithms, addressing their usefulness from a larger graphics system perspective. It discusses the applicability and limitations of all the direct illumination approaches for shadow generation.With an emphasis on shadow fundamentals, the book gives an organized picture of the motivations, complexities, and categorized algorithms available to generate digital shadows. It helps readers select the most relevant algorithms for their needs by placing the shadow algorithms in real-world contexts and looking at them from a larger graphics system perspective. As a result, readers know where to start for their application needs, which algorithms to begin considering, and which papers and supplemental material should be consulted for further details. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Seller Inventory # 9780367381240

Bibliographic Details

• Title: Shadow Algorithms Data Miner (Paperback)
• Publisher: Taylor & Francis Ltd, London
• Publication Date: 2019
• Language: English
• ISBN 10: 0367381249
• ISBN 13: 9780367381240
• Binding: Paperback
• Condition: new

About this title

Synopsis

Shadow Algorithms Data Miner provides a high-level understanding of the complete set of shadow concepts and algorithms, addressing their usefulness from a larger graphics system perspective. It discusses the applicability and limitations of all the direct illumination approaches for shadow generation.

With an emphasis on shadow fundamentals, the book gives an organized picture of the motivations, complexities, and categorized algorithms available to generate digital shadows. It helps readers select the most relevant algorithms for their needs by placing the shadow algorithms in real-world contexts and looking at them from a larger graphics system perspective. As a result, readers know where to start for their application needs, which algorithms to begin considering, and which papers and supplemental material should be consulted for further details.

About the Author

Woo, Andrew; Poulin, Pierre