Spatio-temporal analysis of omni image

Hiroshi Kawasaki, Katsushi Ikeuchi, Masao Sakauchi

研究成果: ジャーナルへの寄稿会議記事査読

9 被引用数 (Scopus)


This paper describes an efficient method to obtain 3D information by using spatio-temporal analysis of omni images for outdoor navigation and map-making in the intelligent transportation system (ITS) application. Two types of omni-directional cameras are employed to make a spatio-temporal volume, which is a sequence of omni images stacked in the spatio-temporal space. For the spatio-temporal analysis of an omni image, we define several different cross sections in such spatio-temporal volumes, and examine characteristics of the traces of image features on the cross sections. We determine that the vertical straight lines in the real world are preserved as straight lines on these cross sections and that the degree of this slope represents the quotient of the velocity of the camera motion and the depth of the object. To acquire 3D information using these characteristics, we propose a hybrid method of the epipolar-plane image (EPI) analysis and the models-based analysis. To demonstrate the effectiveness of this method, we present some experimental results and the ITS applications using an omni-directional video camera to obtain images in outdoor environments.

ジャーナルProceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
出版ステータス出版済み - 1月 1 2000
イベントCVPR '2000: IEEE Conference on Computer Vision and Pattern Recognition - Hilton Head Island, SC, USA
継続期間: 6月 13 20006月 15 2000

!!!All Science Journal Classification (ASJC) codes

  • ソフトウェア
  • コンピュータ ビジョンおよびパターン認識


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