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Removal of Moving Objects and Inconsistencies in Color Tone for an Omnidirectional Image Database

  • Maiya Hori
  • Hideyuki Takahashi
  • Masayuki Kanbara
  • Naokazu Yokoya
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6469)

Abstract

This paper proposes a method for removing image inconsistencies which occur by an existence of moving objects or a change of illumination condition when an omnidirectional image database is generated. The database is used for archiving an outdoor scene in wide areas or generating novel view images with an image-based rendering approach. In related work, it is difficult to remove moving objects in an outdoor environment where illumination condition drastically changes, and to remove inconsistencies of color tone of images which included moving objects. The proposed method iterates the two processes which are the estimation of candidate region of moving objects and the achievement of color consistency to split regions. The color consistency is achieved by estimating linear color transformation parameters which change a histogram of an input image to that of the standard image.

Keywords

Input Image Candidate Region Standard Image Illumination Condition Outdoor Environment 
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 2011

Authors and Affiliations

  • Maiya Hori
    • 1
  • Hideyuki Takahashi
    • 1
  • Masayuki Kanbara
    • 1
  • Naokazu Yokoya
    • 1
  1. 1.Nara Institute of Science and Technology (NAIST)IkomaJapan

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