OmniAD: Data-driven omni-directional aerodynamics Conference Paper

Author(s): Martin, Tobias; Umetani, Nobuyuki; Bickel, Bernd
Title: OmniAD: Data-driven omni-directional aerodynamics
Affiliation IST Austria
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.
Keywords: fabrication; Aerodynamics; Data-driven physics; Kites; Real-time animation
Conference Title: SIGGRAPH: Special Interest Group on Computer Graphics and Interactive Techniques
Volume: 34
Issue 4
Conference Dates: August 9 - 13, 2015
Conference Location: Los Angeles, CA, USA
ISBN: 1557-7368
Publisher: ACM  
Date Published: 2015-07-27
Start Page: Article number: 113
DOI: 10.1145/2766919
Open access: no