3D Reconstruction using vanishing points


The KIPS Transactions:PartB , Vol. 10, No. 5, pp. 515-520, Aug. 2003
10.3745/KIPSTB.2003.10.5.515,   PDF Download:

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.,


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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.