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

Authors:
Megumi Isogai;Nobuo Funabiki;Toru Nakanishi
Affiliations:
Department of Communication Network Engineering, Okayama University, Okayama, Japan;Department of Communication Network Engineering, Okayama University, Okayama, Japan;Department of Communication Network Engineering, Okayama University, Okayama, Japan
Venue:
ICIC'09 Proceedings of the 5th international conference on Emerging intelligent computing technology and applications
Year:
2009

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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.