Computer modelling of fallen snow
Proceedings of the 27th annual conference on Computer graphics and interactive techniques
Visual Simulation of Snowfall, Snow Cover and Snowmelt
ICPADS '00 Proceedings of the Seventh International Conference on Parallel and Distributed Systems: Workshops
Digital Design of Nature: Computer Generated Plants and Organics
Digital Design of Nature: Computer Generated Plants and Organics
The Visual Computer: International Journal of Computer Graphics
Efficient simulation of large bodies of water by coupling two and three dimensional techniques
ACM SIGGRAPH 2006 Papers
Modeling the accumulation of wind-driven snow
ACM SIGGRAPH 2002 conference abstracts and applications
Evolving sub-grid turbulence for smoke animation
Proceedings of the 2008 ACM SIGGRAPH/Eurographics Symposium on Computer Animation
Parallel methods for real-time visualization of snow
PARA'06 Proceedings of the 8th international conference on Applied parallel computing: state of the art in scientific computing
A spectral-particle hybrid method for rendering falling snow
EGSR'04 Proceedings of the Fifteenth Eurographics conference on Rendering Techniques
Geospecific rendering of alpine terrain
EGWR'99 Proceedings of the 10th Eurographics conference on Rendering
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Freshly fallen snow is a popular natural phenomenon able to evoke great beauty in all kinds of scenes. However, there still does not exist an all-purpose algorithm for automated snow distribution in virtual worlds. Previous works modelled snow either relying on costly particle simulations or oversimplified surface displacements. In this paper we develop a novel geometric snow model. In a first step, we propose a statistical snow deposition model inspired by real world observations. This statistical model is used to derive a geometric snow shape formulation. The geometric scheme is implemented with an enhanced height span map. Scene geometry is expressed with two parameter fields that enable us to efficiently compute snow cover geometry. A selection of snow covered scenes demonstrates the realism that can be achieved with this new method.