Visual registration for unprepared augmented reality environments

被引:0
作者
Ke Xu
Simon J. D. Prince
Adrian David Cheok
Yan Qiu
Krishnamoorthy Ganesh Kumar
机构
[1] National University of Singapore,Department of Electrical and Computer Engineering
来源
Personal and Ubiquitous Computing | 2003年 / 7卷
关键词
Augmented reality; Fundamental matrix; Homography; Optical flow; Vision based tracking;
D O I
暂无
中图分类号
学科分类号
摘要
Despite the increasing sophistication of augmented reality (AR) tracking technology, tracking in unprepared environments still remains an enormous challenge according to a recent survey. Most current systems are based on a calculation of the optical flow between the current and previous frames to adjust the label position. Here we present two alternative algorithms based on geometrical image constraints. The first is based on epipolar geometry and provides a general description of the constraints on image flow between two static scenes. The second is based on the calculation of a homography relationship between the current frame and a stored representation of the scene. A homography can exactly describe the image motion when the scene is planar, or when the camera movement is a pure rotation, and provides a good approximation when these conditions are nearly met. We assess all three styles of algorithms with a number of criteria including robustness, speed and accuracy. We demonstrate two real-time AR systems here, which are based on the estimation of homography. One is an outdoor geographical labelling/overlaying system, and the other is an AR Pacman game application.
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页码:287 / 298
页数:11
相关论文
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