A heuristic optimization algorithm for panoramic image generation problem from multiple cameras

Megumi Isogai, Nobuo Funabiki, Toru Nakanishi

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

Abstract

Recently, a panoramic image has been expected in various applications due to the advantage of expressing a wide range of scenes by one image. In this paper, we propose a heuristic optimization algorithm for the panoramic image generation problem from multiple cameras. Our three-stage algorithm composed of the approximate calibration, the detailed calibration, and the image synthesis, transforms the images of the side cameras to be fit to the image of the central camera as best as possible. The image parameters are optimized by a local search method with a Tabu period as a typical heuristic optimization method. Through experiments, we show the effectiveness of our proposal.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages297-306
Number of pages10
Volume5754 LNCS
DOIs
Publication statusPublished - 2009
Event5th International Conference on Intelligent Computing, ICIC 2009 - Ulsan, Korea, Republic of
Duration: Sep 16 2009Sep 19 2009

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5754 LNCS
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other5th International Conference on Intelligent Computing, ICIC 2009
CountryKorea, Republic of
CityUlsan
Period9/16/099/19/09

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ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Isogai, M., Funabiki, N., & Nakanishi, T. (2009). A heuristic optimization algorithm for panoramic image generation problem from multiple cameras. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5754 LNCS, pp. 297-306). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5754 LNCS). https://doi.org/10.1007/978-3-642-04070-2_34