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Generalized minimum‐norm perspective shadow maps
Author(s) -
Zhang Fan,
Sun Hanqiu,
Zhao Chong,
Wang Lifeng
Publication year - 2008
Publication title -
computer animation and virtual worlds
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.225
H-Index - 49
eISSN - 1546-427X
pISSN - 1546-4261
DOI - 10.1002/cav.228
Subject(s) - computer science , rendering (computer graphics) , perspective (graphical) , aliasing , shadow mapping , computer vision , shadow (psychology) , computer graphics (images) , artificial intelligence , anti aliasing , norm (philosophy) , representation (politics) , algorithm , speech recognition , psychology , psychotherapist , audio signal processing , speech coding , politics , undersampling , political science , law , audio signal
Shadow mapping has been extensively used for real‐time shadow rendering in 3D computer games, though it suffers from the inherent aliasing problems due to its image‐based nature. This paper presents an enhanced variant of light space perspective shadow maps to optimize perspective aliasing distribution in possible general cases where the light and view directions are not orthogonal. To be mathematically sound, the generalized representation of perspective aliasing errors has been derived in detail. Our experiments have shown the enhanced shadow quality using our algorithm in dynamic scenes. Copyright © 2008 John Wiley & Sons, Ltd.