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Optimized mobile rendering techniques based on local cubemaps

Published: 24 July 2016 Publication History

Abstract

Local cubemaps (LC) were introduced for the first time more than ten years ago for rendering reflections [Bjorke 2004]. Nevertheless it is only in recent years that major game engines have incorporated this technique. In this paper we introduce a generalized concept of LC and present two new LC applications for rendering shadows and refractions. We show that limitations associated with the static nature of LC can be overcome by combining this technique with other well-known runtime techniques for reflections and shadows.
Rendering techniques based on LC allow high quality shadows, reflections and refractions to be rendered very efficiently which makes them ideally suited to mobile devices where runtime resources must be carefully balanced [Ice Cave Demo 2015].

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References

[1]
Bala, S., and Lopez Mendez, R. 2016. Efficient Soft Shadows Based on Static Local Cubemap. GPU Pro 7, Chapter IV Mobile Devices, p. 175.
[2]
Bjork, Kevin. 2004. Image Based Lighting. GPU Gems, Chapter 19, p. 307.
[3]
Chess room Shadows demo. 2016. https://www.youtube.com/watch?v=VR4x__JApQ0
[4]
Ice Cave Demo FXs. 2015. https://www.youtube.com/watch?v=mb98QOlZ8ZE
[5]
Lopez Mendez, R. Refraction Based on Local Cubemap. ARM Connected Community. 2015.

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    cover image ACM Conferences
    SIGGRAPH '16: ACM SIGGRAPH 2016 Posters
    July 2016
    170 pages
    ISBN:9781450343718
    DOI:10.1145/2945078
    Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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    Published: 24 July 2016

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    Author Tags

    1. local cubemap
    2. reflections
    3. refractions
    4. shadows

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    Overall Acceptance Rate 1,822 of 8,601 submissions, 21%

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