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Sensor Pose Estimation from Multi-center Cylindrical Panoramas

  • Fay Huang
  • Reinhard Klette
  • Yun-Hao Xie
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5414)

Abstract

Cylindrical panoramas can be classified into various types according to their basic scanning properties and mutual spatial alignment, such as single-center (e.g., as in QTVR), concentric, multi-center, symmetric, or (after a transformation onto a cylinder) catadioptric panoramas. This paper deals with a solution of the sensor pose estimation problem using (somehow calculated) corresponding points in the multi-center panoramas. All other types of panoramas are able to be described by this general multi-center model. Due to the non-linearity of the multi-centered projection geometry, the modeling of sensor pose estimation typically results into non-linear and highly complicated forms which incur numerical instability. This paper shows that there exist linear models for sensor pose estimation under minor geometrical constraints, namely symmetric and leveled panoramas. The presented approaches are important for solving the 3D data fusion problem for multiple panoramas; it is also fundamental for an in-depth analysis of multi-view geometry of panoramic images.

Keywords

Image Point Projection Center Panoramic Image Symmetric Pair Input Error 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Fay Huang
    • 1
  • Reinhard Klette
    • 2
  • Yun-Hao Xie
    • 1
  1. 1.Institute of Computer Science and Information EngineeringNational Ilan UniversityTaiwan, R.O.C.
  2. 2.Department of Computer ScienceThe University of AucklandNew Zealand

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