Structure recovery with multiple cameras from scaled orthographic and perspective views

Atsushi Marugame, Jiro Katto, Mutsumi Ohta

Research output: Contribution to journalArticle

9 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)628-633
Number of pages6
JournalIEEE Transactions on Pattern Analysis and Machine Intelligence
Volume21
Issue number7
DOIs
Publication statusPublished - 1999 Jan 1

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ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition
  • Computational Theory and Mathematics
  • Artificial Intelligence
  • Applied Mathematics

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