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Abstract
Dual paraboloid mapping is an approach for environment mapping. Its major advantage is its fast map generation speed. For graphics applications, when filtering is needed, the filtering tool would naturally be mipmapping. However, directly applying mipmapping to dual paraboloid mapping would give us three problems. They are the discontinuity across the dual paraboloid map boundary, the non-uniform sampling problem and the depth testing issue. We propose three approaches to solve these problems. Our approaches are based on some closed form equations derived via theoretical analysis. Using these equations, we modify the coordinates involved during the rendering process. In other words, these problems are handled just by using dual paraboloid maps and mipmaps differently, instead of fundamentally altering their data structures. Consequently, we are fixing the problems without damaging the map generation speed advantage. Applying all three approaches, we improve the rendering quality of dual paraboloid map mipmaps to a level equivalent to that of cubemap mipmaps, while preserving its fast map generation speed advantage. This gives dual paraboloid map mipmaps the potential to be a better choice than cubemap mipmaps for the devices with less computational power. The effectiveness and the efficiency of the proposed approaches are demonstrated using a glossy reflection application and an omnidirectional soft shadow generation application.
Original language | English |
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Pages (from-to) | 437-448 |
Journal | Computer Graphics Forum |
Volume | 38 |
Issue number | 7 |
DOIs | |
Publication status | Published - Oct 2019 |
Bibliographical note
Full text of this publication does not contain sufficient affiliation information. With consent from the author(s) concerned, the Research Unit(s) information for this record is based on the existing academic department affiliation of the author(s).Fingerprint
Dive into the research topics of 'Seamless Mipmap Filtering for Dual Paraboloid Maps'. Together they form a unique fingerprint.Projects
- 1 Finished
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GRF: Rendering Framework for Complicated Bidirectional Reflectance Distribution Functions
LEUNG, C. S. A. (Principal Investigator / Project Coordinator)
1/01/17 → 21/06/21
Project: Research