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

Megumi Isogai, Nobuo Funabiki, Toru Nakanishi

研究成果

抄録

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.

本文言語English
ホスト出版物のタイトルEmerging Intelligent Computing Technology and Applications - 5th International Conference on Intelligent Computing, ICIC 2009, Proceedings
ページ297-306
ページ数10
DOI
出版ステータスPublished - 2009
イベント5th International Conference on Intelligent Computing, ICIC 2009 - Ulsan
継続期間: 9月 16 20099月 19 2009

出版物シリーズ

名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
5754 LNCS
ISSN(印刷版)0302-9743
ISSN(電子版)1611-3349

Other

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

ASJC Scopus subject areas

  • 理論的コンピュータサイエンス
  • コンピュータサイエンス一般

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