Shadow Algorithms Data Miner

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A01=Andrew Woo
A01=Pierre Poulin
advanced computational geometry
Age Group_Uncategorized
Age Group_Uncategorized
Ambient Occlusion
Atmospheric Shadows
Augmented Reality
Author_Andrew Woo
Author_Pierre Poulin
automatic-update
Category1=Non-Fiction
Category=UB
Category=UGV
Category=UMB
Category=UML
computer graphics algorithms
COP=United States
Deep Shadow Map
Delivery_Pre-order
depth
eq_bestseller
eq_computing
eq_isMigrated=2
eq_nobargain
eq_non-fiction
eurographics
Eurographics Association
Extended Light
Extended Light Sources
Hard Shadows
Higher Order Surfaces
illumination modelling
Language_English
LiDAR Data
Linear Light
map
maps
PA=Temporarily unavailable
Percentage Closer Filtering
Phantom Objects
Precomputed Radiance Transfer
Price_€50 to €100
PS=Active
ray
Ray Tracing
rays
rendering techniques
scientific visualisation
Shadow Algorithms
Shadow Catcher
Shadow Depth Maps
shadow generation algorithm selection
Shadow Map
Shadow Ray
Shadow Volume
shadows
soft
Soft Shadows
softlaunch
Stencil Buffer
tracing
visual simulation methods
volume
Voxel Set
VPLs

Product details

  • ISBN 9781439880234
  • Weight: 635g
  • Dimensions: 152 x 229mm
  • Publication Date: 12 Jun 2012
  • Publisher: Taylor & Francis Inc
  • Publication City/Country: US
  • Product Form: Hardback
  • Language: English
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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.

Woo, Andrew; Poulin, Pierre

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