3D Reconstruction using vanishing points 


Vol. 10,  No. 5, pp. 515-520, Aug.  2003
10.3745/KIPSTB.2003.10.5.515


PDF
  Abstract

This paper proposes a calibration method from two images. Camera calibration is necessarily required to obtain 3D information from 2D images. Previous works to accomplish the camera calibration needed the calibration object or required more than three images to calculate the Kruppa equation, however, we use the geometric constraints of parallelism and orthogonality can be easily presented in man-made scenes. The task of it is to obtain intrinsic and extrinsic camera parameters. The intrinsic parameters are evaluated from vanishing points and then the extrinsic parameters which are consisted of rotation matrix and translation vector of the camera are estimated from corresponding points of two views. From the calibrated parameters, we can recover the projection matrices for each view point. These projection matrices are used to recover 3D information of the scene and can be used to visualize new viewpoints.,

  Statistics
  Cite this article

[IEEE Style]

K. S. Hun, K. T. Eun, C. J. Su, "3D Reconstruction using vanishing points," The KIPS Transactions:PartB , vol. 10, no. 5, pp. 515-520, 2003. DOI: 10.3745/KIPSTB.2003.10.5.515.

[ACM Style]

Kim Sang Hun, Kim Tae Eun, and Choe Jong Su. 2003. 3D Reconstruction using vanishing points. The KIPS Transactions:PartB , 10, 5, (2003), 515-520. DOI: 10.3745/KIPSTB.2003.10.5.515.

Forms

Search
(IN TITLE, AUTHOR, ABSTRACT,KEYWORDS)

Advanced Search ▼

POPULAR KEYWORDS
(TOP 10 KEYWORDS)

Recent Publications
(LAST 3 YEARS)

Old Journals

Indexing

All publications of TKIPS is indexed in DOI, EBSCO, Google Scholar, Crossref, and CrossCheck.

TKIPS is also selected as the Journal for Accreditation by NRF (National Research Foundation of Korea).

Related Journals