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Sökning: WFRF:(Sanniti di Baja Gabriella) > Efficient Radial Di...

Efficient Radial Distortion Correction for Planar Motion

Örnhag, Marcus Valtonen (författare)
Lund University,Lunds universitet,Matematik LTH,Matematikcentrum,Institutioner vid LTH,Lunds Tekniska Högskola,Mathematics (Faculty of Engineering),Centre for Mathematical Sciences,Departments at LTH,Faculty of Engineering, LTH
De Marsico, Maria (redaktör/utgivare)
di Baja, Gabriella Sanniti (redaktör/utgivare)
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Fred, Ana (redaktör/utgivare)
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 (creator_code:org_t)
2020-12-23
2020
Engelska 18 s.
Ingår i: Pattern Recognition Applications and Methods - 9th International Conference, ICPRAM 2020, Revised Selected Papers. - Cham : Springer International Publishing. - 1611-3349 .- 0302-9743. - 9783030661243 ; 12594 LNCS, s. 46-63
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  • In this paper we investigate simultaneous radial distortion calibration and motion estimation for vehicles travelling parallel to planar surfaces. This is done by estimating the inter-image homography between two poses, as well as the distortion parameter. Radial distortion correction is often performed as a pre-calibration step; however, accurately estimating the distortion profile without special scene requirements may make such procedures obsolete. As many modern day consumer cameras are affected by radial distortion to some degree, there is a great potential to reduce production time, if properly implemented. We devise two polynomial solvers, for radially distorted homographies compatible with different models of planar motion. We show that the algorithms are numerically stable, and sufficiently fast to be incorporated in a real-time frameworks. Furthermore, we show on both synthetic and real data, that the proposed solvers perform well compared to competing methods.

Ämnesord

NATURVETENSKAP  -- Data- och informationsvetenskap -- Datorseende och robotik (hsv//swe)
NATURAL SCIENCES  -- Computer and Information Sciences -- Computer Vision and Robotics (hsv//eng)

Nyckelord

Homography
Polynomial solvers
Radial distortion correction
Visual odometry

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