A NEW METHOD OF 3D RECONSTRUCTION BASEING ON IMAGES SEQUENCE USING HAND-HOLD CAMERA

摘要：

3D reconstruction is an important technique in the field of computer vision. The traditional 3D reconstruction technology involves the self-calibration method basing on dual absolute quadric. However, some drawbacks in this method cause this technology less robust. First, usually the solution of the dual quadric matrix can not satisfy the positive-definiteness condition caused by loud noise in data; second, if the motion of the camera is too restricted, the calibration degeneracy will turn up causing the reconstruction failed. To these questions, we design a new method for calibrating the camera using the camera pure rotating calibration and decomposing the essential matrix. So, the metric structure can be got directly avoiding the less robustness caused by self-calibration. Experiments show that, using this method the reconstruction has an efficient result and the procedure is convenient.

关键词： Computer Vision 3D Reconstruction Metric Structure Camera Self-calibration Camera Rotating Calibration Essential Matriz L-M Algorithm Bundle Adjustment

作者: JIE ZHAO YING-KANG ZHANG DONG-MING VAN

作者单位: The College of Electronic and Information Engineering, Hebei University, Baoding 071002, China

会议类型: 国际会议

会议名称: 2008 International Conference on Machine Learning and Cybernetics(2008机器学习与控制论国际会议)

会议地点: 昆明

会议语种:英文

页码: 2723-2728

在线出版日期: 2008-07-12（万方平台首次上网日期，不代表论文的发表时间）