Estimating 3D object coordinates from markerless scenes

Ki Woon Kwon, Sung Wook Baik, Seong Whan Lee

Research output: Contribution to journalConference articlepeer-review


This paper presents a novel method for estimating the coordinates of a 3D object using the four vertices of a quadrangle and the camera motion parameters. Estimation of 3D object coordinates from 2D images of video is a studied problem in augmented reality. However, most solutions are dependent on fiducial markers in video or known coordinate systems which are required with superimposition of virtual object on frames. In this paper, we begin with the fact that the rectangular objects in 3D real world are projected the perspective quadrangle onto image planes. We can estimate 3D object coordinates from 4 vertices of quadrangular objects through transformation of image coordinates. The camera motion parameters between pairs of successive frames in a sequence are calculated using epipolar geometry.

Original languageEnglish
Pages (from-to)850-853
Number of pages4
JournalLecture Notes in Computer Science
Issue numberIII
Publication statusPublished - 2005
Event5th International Conference on Computational Science - ICCS 2005 - Atlanta, GA, United States
Duration: 2005 May 222005 May 25

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)


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