Improved pressure sensitive paint measurement using natural feature tracking and piecewise linear resection

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Proceedings titleProceedings - 2011 Canadian Conference on Computer and Robot Vision, CRV 2011
Conference8th Canadian Conference on Computer and Robot Vision, CRV 2011, 25 May 2011 through 27 May 2011, St. Johns, NL
Article number5957541
Pages4855; # of pages: 8
SubjectAccurate registration; Camera images; Deformation equations; Fiducial marker; Filtering technique; Misregistration; Natural features; Nonlinear deformations; Piecewise linear; Point coverage; Pressure data; pressure sensitive paint; Pressure sensitive paints; resection; Virtual models; Wind tunnel models; Computer vision; Deformation; Paint; Supersonic aerodynamics; Three dimensional; Visualization; Wind tunnels; Piecewise linear techniques
AbstractWind tunnel Pressure Sensitive Paint (PSP) ratio techniques require accurate registration between wind-on and wind-off camera image pairs. The Piecewise Linear Resection (PLR) method of removing registration due to physical wind tunnel model motion and deformation errors can account for nonlinear deformations and benefits from increased tracking point coverage in the image. This work presents a method to increase the accuracy of PLR by tracking natural features in addition to standard fiducial markers. This is accomplished with Speeded-Up Robust Features (SURF) and a modified disparity gradient filtering technique. This work shows that this method of automatic PLR is feasible on wind tunnel imagery and that the resulting pressure data has reduced mis-registration noise without the need to perform 3D resection using virtual models and pre-defined deformation equations. © 2011 IEEE.
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AffiliationNational Research Council Canada (NRC-CNRC); Aerospace (AERO-AERO)
Peer reviewedYes
NPARC number21271221
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Record identifier648048f6-03e2-4271-8517-7f51575a9399
Record created2014-03-24
Record modified2016-05-09
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