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http://dx.doi.org/10.3745/KIPSTB.2006.13B.5.499

Reliable Camera Pose Estimation from a Single Frame with Applications for Virtual Object Insertion  

Park, Jong-Seung (인천대학교 컴퓨터공학과)
Lee, Bum-Jong (인천대학교 컴퓨터공학과)
Publication Information
The KIPS Transactions:PartB / v.13B, no.5, 2006 , pp. 499-506 More about this Journal
Abstract
This Paper describes a fast and stable camera pose estimation method for real-time augmented reality systems. From the feature tracking results of a marker on a single frame, we estimate the camera rotation matrix and the translation vector. For the camera pose estimation, we use the shape factorization method based on the scaled orthographic Projection model. In the scaled orthographic factorization method, all feature points of an object are assumed roughly at the same distance from the camera, which means the selected reference point and the object shape affect the accuracy of the estimation. This paper proposes a flexible and stable selection method for the reference point. Based on the proposed method, we implemented a video augmentation system that inserts virtual 3D objects into the input video frames. Experimental results showed that the proposed camera pose estimation method is fast and robust relative to the previous methods and it is applicable to various augmented reality applications.
Keywords
Camera Pose From Orthography; Camera Tracking; Virtual Object Insertion;
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