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  • ftp://cmp.felk.cvut.cz/pub/cmp/articles/alblcene/Albl-Pajdla-CVWW-2013.pdf
Description
  • In this paper we propose, design and implement a method of Bundle adjustment (BA) incorporating constraints that describe a camera undergoing a circular motion. Using these constraints we are able to capture the physical properties of various rotating camera systems into the BA process, for example panoramic camera systems used on Mars rovers or turntables. We incorporated our method into the recently released Google non-linear least squares solver Ceres. By using constrained BA, we aim at improving the accuracy of reconstructing both the 3D points and the camera positions. The improvement in accuracy was experimentally verified on synthetic as well as real datasets.
  • In this paper we propose, design and implement a method of Bundle adjustment (BA) incorporating constraints that describe a camera undergoing a circular motion. Using these constraints we are able to capture the physical properties of various rotating camera systems into the BA process, for example panoramic camera systems used on Mars rovers or turntables. We incorporated our method into the recently released Google non-linear least squares solver Ceres. By using constrained BA, we aim at improving the accuracy of reconstructing both the 3D points and the camera positions. The improvement in accuracy was experimentally verified on synthetic as well as real datasets. (en)
Title
  • Constrained Bundle Adjustment for Panoramic Cameras
  • Constrained Bundle Adjustment for Panoramic Cameras (en)
skos:prefLabel
  • Constrained Bundle Adjustment for Panoramic Cameras
  • Constrained Bundle Adjustment for Panoramic Cameras (en)
skos:notation
  • RIV/68407700:21230/13:00211768!RIV14-MSM-21230___
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  • 66774
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  • RIV/68407700:21230/13:00211768
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  • bundle adjustment; 3D reconstruction; constrained optimisation; panoramic cameras (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [837F87A4075D]
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  • Hernstein
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  • Vienna
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  • CVWW 2013: Proceedings of the 18th Computer Vision Winter Workshop
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  • Pajdla, Tomáš
  • Albl, Čeněk
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http://linked.open.../riv/zahajeniAkce
number of pages
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  • Vienna University of Technology
https://schema.org/isbn
  • 978-3-200-02943-9
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  • 21230
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