Rendering piecewise approximations of SDFs through analytic intersections

Altres autors/es

Universitat Politècnica de Catalunya. Doctorat en Computació

Universitat Politècnica de Catalunya. Departament de Ciències de la Computació

Universitat Politècnica de Catalunya. ViRVIG - Grup de Recerca en Visualització, Realitat Virtual i Interacció Gràfica

Data de publicació

2024-08

Resum

Signed distance fields (SDFs) have emerged as an alternative shape representation for real-time collision detection and lighting effects. Computing these for complex models can be expensive, so one popular approach is to prepare an approximation via sampling and interpolation. Then, these may be rendered using sphere marching, which gets close to the surface quickly, but needs several iterations to converge to it. In this paper, we propose an alternative that computes the intersection of a given ray and the surface analytically at a narrow band. This may be combined with other enhancements like having variable error for the approximation depending on the distance to the surface and skipping regions that do not contain the surface to accelerate the outer band ray traversal while reducing the required memory. To achieve smoother representations with minimal computational cost, we propose a method for computing surface intersections and normals from separate interpolants. We evaluate all these to find the optimal combination improving the rendering performance and memory consumption of these SDF approximations.


This work has been partially funded by Ministeri de Ciència i Innovació(MICIN), Agencia Estatal de Investigación (AEI) and the Fons Europeu de Desenvolupament Regional (FEDER) (project PID2021-122136OB-C21 funded by MCIN/AEI/10.13039/501100011033/ FEDER, UE); and by the Department of Research and Universities of the Government of Catalonia (2021 SGR 01035). The first author gratefully acknowledges the Universitat Politècnica de Catalunya and Banco Santander for the financial support of his predoctoral grant FPI UPC grant.


Peer Reviewed


Postprint (published version)

Tipus de document

Article

Llengua

Anglès

Publicat per

Elsevier

Documents relacionats

https://www.sciencedirect.com/science/article/pii/S009784932400116X

info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/PID2021-122136OB-C21/ES/ENTORNOS 3D DE ALTA FIDELIDAD PARA REALIDAD VIRTUAL Y COMPUTACION VISUAL: GEOMETRIA, MOVIMIENTO, INTERACCION Y VISUALIZACION PARA SALUD, ARQUITECTURA Y CIUDADES/

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Drets

http://creativecommons.org/licenses/by-nc-nd/4.0/

Open Access

Attribution-NonCommercial-NoDerivatives 4.0 International

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