Estimation of Camera Parameters for 3D-Based Synthesis from Uncalibrated Image Sequence 


Vol. 29,  No. 2, pp. 229-237, Feb.  2004


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  Abstract

In this paper, we propose a new autocalibration algorithm. 3D-based image synthesis is roughly divided into two methods. One is using autocalibration method, and the other is using real 3D data like pattern information. The former is more progressive method, because there is no constraint or information about the scenes. Therefore autocalibration method has very difficult progress dealing with complicate non-linear equations.
Nowadays, constraints of camera intrinsic parameters are used in many researches. Therefore we solve the linear equations instead of complicate non-linear equations. For example, to fix principal point of camera is a representative method.

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  Cite this article

[IEEE Style]

오인환, 윤용인, 최종수, "Estimation of Camera Parameters for 3D-Based Synthesis from Uncalibrated Image Sequence," The Journal of Korean Institute of Communications and Information Sciences, vol. 29, no. 2, pp. 229-237, 2004. DOI: .

[ACM Style]

오인환, 윤용인, and 최종수. 2004. Estimation of Camera Parameters for 3D-Based Synthesis from Uncalibrated Image Sequence. The Journal of Korean Institute of Communications and Information Sciences, 29, 2, (2004), 229-237. DOI: .

[KICS Style]

오인환, 윤용인, 최종수, "Estimation of Camera Parameters for 3D-Based Synthesis from Uncalibrated Image Sequence," The Journal of Korean Institute of Communications and Information Sciences, vol. 29, no. 2, pp. 229-237, 2. 2004.