OmniAD: Data-driven omni-directional aerodynamics

T. Martin, N. Umetani, B. Bickel, in:, ACM, 2015.

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Conference Paper | Published | English
Author
; ;
Department
Series Title
ACM Transactions on Graphics
Abstract
This paper introduces "OmniAD," a novel data-driven pipeline to model and acquire the aerodynamics of three-dimensional rigid objects. Traditionally, aerodynamics are examined through elaborate wind tunnel experiments or expensive fluid dynamics computations, and are only measured for a small number of discrete wind directions. OmniAD allows the evaluation of aerodynamic forces, such as drag and lift, for any incoming wind direction using a novel representation based on spherical harmonics. Our datadriven technique acquires the aerodynamic properties of an object simply by capturing its falling motion using a single camera. Once model parameters are estimated, OmniAD enables realistic realtime simulation of rigid bodies, such as the tumbling and gliding of leaves, without simulating the surrounding air. In addition, we propose an intuitive user interface based on OmniAD to interactively design three-dimensional kites that actually fly. Various nontraditional kites were designed to demonstrate the physical validity of our model.
Publishing Year
Date Published
2015-07-27
Volume
34
Issue
4
Article Number
113
Conference
SIGGRAPH: Special Interest Group on Computer Graphics and Interactive Techniques
Conference Location
Los Angeles, CA, United States
Conference Date
2015-08-09 – 2015-08-13
IST-REx-ID

Cite this

Martin T, Umetani N, Bickel B. OmniAD: Data-driven omni-directional aerodynamics. In: Vol 34. ACM; 2015. doi:10.1145/2766919
Martin, T., Umetani, N., & Bickel, B. (2015). OmniAD: Data-driven omni-directional aerodynamics (Vol. 34). Presented at the SIGGRAPH: Special Interest Group on Computer Graphics and Interactive Techniques, Los Angeles, CA, United States: ACM. https://doi.org/10.1145/2766919
Martin, Tobias, Nobuyuki Umetani, and Bernd Bickel. “OmniAD: Data-Driven Omni-Directional Aerodynamics,” Vol. 34. ACM, 2015. https://doi.org/10.1145/2766919.
T. Martin, N. Umetani, and B. Bickel, “OmniAD: Data-driven omni-directional aerodynamics,” presented at the SIGGRAPH: Special Interest Group on Computer Graphics and Interactive Techniques, Los Angeles, CA, United States, 2015, vol. 34, no. 4.
Martin T, Umetani N, Bickel B. 2015. OmniAD: Data-driven omni-directional aerodynamics. SIGGRAPH: Special Interest Group on Computer Graphics and Interactive Techniques, ACM Transactions on Graphics, vol. 34.
Martin, Tobias, et al. OmniAD: Data-Driven Omni-Directional Aerodynamics. Vol. 34, no. 4, 113, ACM, 2015, doi:10.1145/2766919.

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