Computer Modelling Of Fallen Snow Paul Fearing

Figure 1: A sudden snowfall comes to the North Pole. In this paper, we present a new model of snow accumulation and stability for computer graphics. Our contribution is divided into two major components, each essential for modelling the appearance of a thick layer of snowfall on the ground. Our accu...

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Online Access:http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.548.9128
http://www.inf.tu-dresden.de/content/institutes/smt/cg/teaching/seminars/HauptseminarWS0708/public/Kazimiers/files/fearingSIG00.pdf
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spelling ftciteseerx:oai:CiteSeerX.psu:10.1.1.548.9128 2023-05-15T17:39:52+02:00 Computer Modelling Of Fallen Snow Paul Fearing The Pennsylvania State University CiteSeerX Archives application/pdf http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.548.9128 http://www.inf.tu-dresden.de/content/institutes/smt/cg/teaching/seminars/HauptseminarWS0708/public/Kazimiers/files/fearingSIG00.pdf en eng http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.548.9128 http://www.inf.tu-dresden.de/content/institutes/smt/cg/teaching/seminars/HauptseminarWS0708/public/Kazimiers/files/fearingSIG00.pdf Metadata may be used without restrictions as long as the oai identifier remains attached to it. http://www.inf.tu-dresden.de/content/institutes/smt/cg/teaching/seminars/HauptseminarWS0708/public/Kazimiers/files/fearingSIG00.pdf Earth and atmospheric sciences Keywords snow avalanches stability natural phenomena email text ftciteseerx 2016-01-08T11:25:25Z Figure 1: A sudden snowfall comes to the North Pole. In this paper, we present a new model of snow accumulation and stability for computer graphics. Our contribution is divided into two major components, each essential for modelling the appearance of a thick layer of snowfall on the ground. Our accumulation model determines how much snow a particular surface receives, allowing for such phenomena as flake flutter, flake dusting and wind-blown snow. We compute snow accumulation by shooting particles upwards towards the sky, giving each source sur-face independent control over its own sampling density, accuracy and computation time. Importance ordering minimises sampling ef-fort while maximising visual information, generating smoothly im-proving global results that can be interrupted at any point. Once snow lands on the ground, our stability model moves mate-rial away from physically unstable areas in a series of small, simul-taneous avalanches. We use a simple local stability test that handles very steep surfaces, obstacles, edges, and wind transit. Our stabil-ity algorithm also handles other materials, such as flour, sand, and flowing water. Text North Pole Unknown North Pole
institution Open Polar
collection Unknown
op_collection_id ftciteseerx
language English
topic Earth and atmospheric sciences
Keywords
snow
avalanches
stability
natural phenomena email
spellingShingle Earth and atmospheric sciences
Keywords
snow
avalanches
stability
natural phenomena email
Computer Modelling Of Fallen Snow Paul Fearing
topic_facet Earth and atmospheric sciences
Keywords
snow
avalanches
stability
natural phenomena email
description Figure 1: A sudden snowfall comes to the North Pole. In this paper, we present a new model of snow accumulation and stability for computer graphics. Our contribution is divided into two major components, each essential for modelling the appearance of a thick layer of snowfall on the ground. Our accumulation model determines how much snow a particular surface receives, allowing for such phenomena as flake flutter, flake dusting and wind-blown snow. We compute snow accumulation by shooting particles upwards towards the sky, giving each source sur-face independent control over its own sampling density, accuracy and computation time. Importance ordering minimises sampling ef-fort while maximising visual information, generating smoothly im-proving global results that can be interrupted at any point. Once snow lands on the ground, our stability model moves mate-rial away from physically unstable areas in a series of small, simul-taneous avalanches. We use a simple local stability test that handles very steep surfaces, obstacles, edges, and wind transit. Our stabil-ity algorithm also handles other materials, such as flour, sand, and flowing water.
author2 The Pennsylvania State University CiteSeerX Archives
format Text
title Computer Modelling Of Fallen Snow Paul Fearing
title_short Computer Modelling Of Fallen Snow Paul Fearing
title_full Computer Modelling Of Fallen Snow Paul Fearing
title_fullStr Computer Modelling Of Fallen Snow Paul Fearing
title_full_unstemmed Computer Modelling Of Fallen Snow Paul Fearing
title_sort computer modelling of fallen snow paul fearing
url http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.548.9128
http://www.inf.tu-dresden.de/content/institutes/smt/cg/teaching/seminars/HauptseminarWS0708/public/Kazimiers/files/fearingSIG00.pdf
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op_relation http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.548.9128
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op_rights Metadata may be used without restrictions as long as the oai identifier remains attached to it.
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