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Computational optical distortion correction using a radial basis function-based mapping method
Author(s) -
Aaron Bauer,
Sophie Vo,
Keith Parkins,
Francisco Rodríguez,
Ozan Cakmakci,
Jannick P. Rolland
Publication year - 2012
Publication title -
optics express
Language(s) - Uncategorized
Resource type - Journals
SCImago Journal Rank - 1.394
H-Index - 271
ISSN - 1094-4087
DOI - 10.1364/oe.20.014906
Subject(s) - distortion (music) , computer science , diagonal , radial basis function , computer vision , artificial intelligence , interpolation (computer graphics) , rendering (computer graphics) , digital image correlation , optics , algorithm , image (mathematics) , physics , mathematics , geometry , artificial neural network , computer network , amplifier , bandwidth (computing)
A distortion mapping and computational image unwarping method based on a network interpolation that uses radial basis functions is presented. The method is applied to correct distortion in an off-axis head-worn display (HWD) presenting up to 23% highly asymmetric distortion over a 27°x21° field of view. A 10(-5) mm absolute error of the mapping function over the field of view was achieved. The unwarping efficacy was assessed using the image-rendering feature of optical design software. Correlation coefficients between unwarped images seen through the HWD and the original images, as well as edge superimposition results, are presented. In an experiment, images are prewarped using radial basis functions for a recently built, off-axis HWD with a 20° diagonal field of view in a 4:3 ratio. Real-time video is generated by a custom application with 2 ms added latency and is demonstrated.

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