北京理工大学学报(英文版)
北京理工大學學報(英文版)
북경리공대학학보(영문판)
JOURNAL BEIJING INSTITUTE OF TECHNOLOGY
2004年
2期
152-156
,共5页
裴明涛%于连庆%刘鹏%贾云得
裴明濤%于連慶%劉鵬%賈雲得
배명도%우련경%류붕%가운득
self-calibration%Euclidean reconstruction%computer vision
A key problem that plagues cera self-calibration, nely that the classical self-calibration algorithms are very sensitive to the initial values of the cera intrinsic pareters, is analyzed and a practical solution is provided. The effect of the cera intrinsic pareters, mainly the principal point and the skew factor is first discussed. Then a practical method via a controlled motion of the cera is introduced so as to obtain an accurate estimation of these pareters. Feasibility of this approach is illustrated by carrying out comprehensive experiments using synthetic data as well as real image sequences. Unreasonable initial values can often make self-calibration impossible, yet a precise initialization guarantees a better and successful reconstruction. Trying to obtain a more reasonable initialization is worthwhile the effort in cera self-calibration.
