Naslov
Optimal Non-Linear Search Method For Camera Calibration

Autori
Pribanić, Tomislav ; Cifrek, Mario ; Tonković, Stanko

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Proceedings / 12th IMEKO TC4 International Symposium Electrical Measurements and Instrumentation / Ilić, Damir ; Boršić, Mladen ; Butorac, Josip - , 2002, 601-602

Skup
12th IMEKO TC4 International Symposium Electrical Measurements and Instrumentation

Mjesto i datum
Zagreb, Hrvatska, 25.09.2002. - 27.09.2002

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Levenberg-Marquardt; camera calibration

Sažetak
Extracting three-dimensional information from two-dimensional image coordinates acquired by video cameras is a essential problem in computer vision. Prerequisite is a camera calibration procedure. For the purpose of camera calibration both linear and iterative techniques have been developed. The iterative methods utilize non-linear camera models, i.e. non-linear search technique. Three different popular non-linear search techniques (Newton method, Gauss-Newton method, Levenberg-Marquardt method) were chosen and compared in order to find out which one gave the best results for the purpose of camera calibration and 3D reconstruction. Levenberg-Marquardt method has been proven to be superior which was in accordance to theoretical expectation of its features. It exercised robustness and convergent sets of camera model parameters in all experimental trials. Moreover, it justified intuitive expectation of improving reconstruction accuracy by augmenting linear camera model with additional non-linear lens distortion parameters.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika

POVEZANOST RADA