NDLI: OmniAD: data-driven omni-directional aerodynamics

Content Provider	ACM Digital Library
Author	Martin, Tobias Umetani, Nobuyuki Bickel, Bernd
Copyright Year	2015
Description	Author Affiliation: ETH Zürich(Ist austria (bickel, Bernd; Disney research zürich (umetani, Nobuyuki); Martin, Tobias))
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 data-driven 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 real-time 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 non-traditional kites were designed to demonstrate the physical validity of our model.
Starting Page	1
Ending Page	12
Page Count	12
File Format	PDF
ISSN	07300301
e-ISSN	15577368
DOI	10.1145/2766919
Volume Number	34
Issue Number	4
Journal	ACM Transactions on Graphics (TOG)
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2015-07-27
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Aerodynamics Data-driven physics Fabrication Kites Real-time animation
Content Type	Text
Resource Type	Article
Subject	Computer Graphics and Computer-Aided Design

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