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Revectorization‐Based Soft Shadow Mapping
Author(s) -
Macedo M. C. F.,
Apolinário A. L.,
Agüero K. A.
Publication year - 2020
Publication title -
computer graphics forum
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.578
H-Index - 120
eISSN - 1467-8659
pISSN - 0167-7055
DOI - 10.1111/cgf.13810
Subject(s) - shadow mapping , computer science , rendering (computer graphics) , computer vision , computer graphics (images) , artificial intelligence , shadow (psychology) , anti aliasing , digital signal processing , psychology , audio signal processing , computer hardware , psychotherapist , audio signal
In this paper, we present revectorization‐based soft shadow mapping, an algorithm that enables the rendering of visually plausible anti‐aliased soft shadows in real time. In revectorization‐based shadow mapping, shadow silhouettes are anti‐aliased and filtered on the basis of a discontinuity space. By replacing the filtering step of the theoretical framework of the percentage‐closer soft shadow algorithm by a revectorization‐based filtering algorithm, we are able to provide anti‐aliasing mainly for near contact shadows or small penumbra sizes generated from low‐resolution shadow maps. Moreover, we present a screen‐space variant of our technique that generates visually plausible soft shadows with an overhead of only ∼ 23 % in processing time, when compared to the fastest soft shadow algorithms proposed in the literature, but that introduces shadow overestimation artefacts in the final rendering.