Removal of moving objects and inconsistencies in color tone for an omnidirectional image database

Maiya Hori, Hideyuki Takahashi, Masayuki Kanbara, Naokazu Yokoya

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)


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.

Original languageEnglish
Title of host publicationComputer Vision - ACCV 2010 Workshops - ACCV 2010 International Workshops, Revised Selected Papers
Number of pages10
EditionPART 2
Publication statusPublished - 2011
Externally publishedYes
EventInternational Workshops on Computer Vision, ACCV 2010 - Queenstown, New Zealand
Duration: Nov 8 2010Nov 9 2010

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 2
Volume6469 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


OtherInternational Workshops on Computer Vision, ACCV 2010
Country/TerritoryNew Zealand

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • General Computer Science


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