3D-based synthesis and 3D reconstruction from uncalibrated images

Author

Kim, Sang-Hoon ; Yoon, Yong-In ; Choi, Jong-Soo

Author_Institution

Dept. of Image Eng., Chung-Ang Univ., Seoul, South Korea

fYear

2004

fDate

18-19 Nov. 2004

Firstpage

262

Lastpage

265

Abstract

In this paper, we propose a new camera calibration method for 3D-based image synthesis and 3D reconstruction. We improve the problem by changing the principle point for obtaining the linear equation. According to the error rate, we adapt the non-linear method that minimizes the intrinsic parameters. Namely, it minimizes the intrinsic parameters error by maintaining the computational conciseness. As a result, we can find optimized camera intrinsic parameters and adapt them for image synthesis and reconstruction.

Keywords

adaptive signal processing; calibration; image matching; image reconstruction; image sequences; optimisation; stereo image processing; 3D image reconstruction; 3D-based image synthesis; adaptive nonlinear parameter error minimization method; camera calibration method; camera intrinsic parameter optimization; error minimization method; image sequences; projective factorization; stereoscopic image matching; uncalibrated images; Calibration; Cameras; Computer errors; Computer vision; Error analysis; Image generation; Image reconstruction; Layout; Nonlinear equations; Vectors;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Signal Processing and Communication Systems, 2004. ISPACS 2004. Proceedings of 2004 International Symposium on

Print_ISBN

0-7803-8639-6

Type

conf

DOI

10.1109/ISPACS.2004.1439056

Filename

1439056