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Camera Motion and Structure Recovery Using Two-step Sampling  

서정국 (중앙대학교 첨단영상대학원 영상공학과)
조청운 (중앙대학교 첨단영상대학원 영상공학과)
홍현기 (중앙대학교 첨단영상대학원 영상공학과)
Publication Information
Journal of the Institute of Electronics Engineers of Korea SP / v.40, no.5, 2003 , pp. 347-356 More about this Journal
Abstract
Camera pose and scene geometry estimation from video sequences is widely used in various areas such as image composition. Structure and motion recovery based on the auto calibration algorithm can insert synthetic 3D objects in real but un modeled scenes and create their views from the camera positions. However, most previous methods require bundle adjustment or non linear minimization process [or more precise results. This paper presents a new auto' calibration algorithm for video sequence based on two steps: the one is key frame selection, and the other removes the key frame with inaccurate camera matrix based on an absolute quadric estimation by LMedS. In the experimental results, we have demonstrated that the proposed method can achieve a precise camera pose estimation and scene geometry recovery without bundle adjustment. In addition, virtual objects have been inserted in the real images by using the camera trajectories.
Keywords
structure and motion recovery; auto calibration; key frame; match move;
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