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Art Directable Tornadoes

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dc.contributor.advisor Srinivasan, Vinod en_US
dc.creator Dwivedi, Ravindra en_US
dc.date.accessioned 2011-08-08T22:48:41Z en_US
dc.date.accessioned 2011-08-09T01:31:20Z
dc.date.available 2011-08-08T22:48:41Z en_US
dc.date.available 2011-08-09T01:31:20Z
dc.date.created 2011-05 en_US
dc.date.issued 2011-08-08 en_US
dc.date.submitted May 2011 en_US
dc.identifier.uri http://hdl.handle.net/1969.1/ETD-TAMU-2011-05-9417 en_US
dc.description.abstract Tornado simulations in the visual effects industry have always been an interesting problem. Developing tools to provide more control over such effects is an important and challenging task. Current methods to achieve these effects use either particle systems or fluid simulation. Particle systems give a lot of control over the simulation but do not take into account the fluid characteristics of tornadoes. The other method which involves fluid simulation models the fluid behavior accurately but does not give control over the simulation. In this thesis, a novel method to model tornado behavior is presented. A tool based on this method was also created. The method proposed in this thesis uses a hybrid approach that combines the flexibility of particle systems while producing interesting swirling motions inherent in the fluids. The main focus of the research is on providing easy-to-use controls for art directors to help them achieve the desired look of the simulation effectively. A variety of controls is provided which include the overall shape, path, rotation, debris, surface, swirling motion, and interaction with the environment. The implementation was done in Houdini, which is a 3D animation software whose node based system allows an algorithmic approach to the problem and integrates well with the current tools. The tool allows the user to create animations that reflect the visual characteristics of real tornadoes. The usefulness of the tool was evaluated among participants who had some experience in 3D animation software. The results from the simulation and evaluation feedback reveal that the tool successfully allowed the users to create tornadoes of their choice efficiently. en_US
dc.format.mimetype application/pdf en_US
dc.language.iso en_US en_US
dc.subject Tornadoes en_US
dc.subject Physically based simulation en_US
dc.subject vorticity en_US
dc.subject particles en_US
dc.subject fluids en_US
dc.subject Houdini en_US
dc.title Art Directable Tornadoes en_US
dc.type Thesis en
thesis.degree.department Visualization en_US
thesis.degree.discipline Visualization en_US
thesis.degree.grantor Texas A&M University en_US
thesis.degree.name Master of Science en_US
thesis.degree.level Masters en_US
dc.contributor.committeeMember Keyser, John en_US
dc.contributor.committeeMember Yan, Wei en_US
dc.type.genre thesis en_US
dc.type.material text en_US

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