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Camera Resectioning from a Box

På svenska

Author

  • Henrik Aanæs
  • Klas Josephson
  • François Anton
  • J. Andreas Bærentzen
  • Fredrik Kahl

Summary, in English

In this paper we describe how we can do camera resectioning from a box with unknown dimensions, i.e. determine the camera model, assuming that image pixels are square. This assumption is equivalent to assuming that the camera as an aspect ratio of one and zero skew, and holds for most - if not all - digital cameras. Our proposed method works by first deriving 9 linear constraints on the projective camera matrix from the box, leaving a 3 dimensional subspace in which the projective camera matrix can lye. A single solution in this 3D subspace is then found via a method by Triggs in 1999, which uses the squared pixel assumption to set up a 4th degree polynomial to which the solution is the desired model. This approach is, however, numerically challenging, and we use several means to combat this issue. Lastly the solution is refined in an iterative manner, i.e. using bundle adjustment.

Department/s

Publishing year

2009

Language

English

Publication/Series

Lecture Notes in Computer Science

Document type

Conference paper

Publisher

Springer

Topic

  • Mathematics
  • Computer Vision and Robotics (Autonomous Systems)

Keywords

  • Multiple view geometry
  • 3D modelling
  • Camera resectioning

Conference name

Scandinavian Conferences on Image Analysis

Conference date

2009-06-15 - 2009-06-18

Conference place

Oslo, Norway

Status

Published

Research group

  • Mathematical Imaging Group

ISBN/ISSN/Other

  • ISSN: 1611-3349
  • ISSN: 0302-9743