Structure recovery with multiple cameras from scaled orthographic and perspective views

Atsushi Marugame, Jiro Katto, Mutsumi Ohta

研究成果: Article査読

9 被引用数 (Scopus)

抄録

This paper presents a novel framework for Euclidean structure recovery utilizing a scaled orthographic view and perspective views simultaneously. A scaled orthographic view is introduced in order to automatically obtain camera parameters such as camera positions, orientation, and focal length. Scaled orthographic properties enable all camera parameters to be calculated implicitly and perspective properties enable a Euclidean structure to be recovered. The method can recover a Euclidean structure with at least seven point correspondences across a scaled orthographic view and perspective views. Experimental results for both computed and natural images verify that the method recovers structure with sufficient accuracy to demonstrate potential utility. The proposed method can be applied to an interface for 3D modeling, recognition, and tracking.

本文言語English
ページ(範囲)628-633
ページ数6
ジャーナルIEEE Transactions on Pattern Analysis and Machine Intelligence
21
7
DOI
出版ステータスPublished - 1999 1 1
外部発表はい

ASJC Scopus subject areas

  • 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
  • 計算理論と計算数学
  • 人工知能
  • 応用数学

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