Registration Using Projective Reconstruction for Augmented Reality Systems
Name
IMST018.pdf
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408.77 KB
Format
Adobe PDF
Checksum (MD5)
2eb9d7b5d3be70ea3d0ca7e6fa263c83
Author(s)
Yuan, M. L.
Ong, S. K.
Nee, Andrew Y. C.
Date Issued
January 2004
Series/Report no.
Innovation in Manufacturing Systems and Technology (IMST);
Abstract
In AR systems, registration is one of the most difficult problems currently limiting their applications. In this paper, we proposed a simple registration method using projective reconstruction. This method consists of two steps: embedding and tracking. Embedding involves specifying four points to build the world coordinate system on which a virtual object will be superimposed. In tracking, a projective reconstruction technique in computer vision is used to track the four specified points to compute the modelview transformation for augmentation. This method is simple as only four points need to be specified at the embedding stage, and the virtual object can then be easily augmented in a real video sequence. In addition, it can be extended to a common scenario using a common projective matrix. The proposed method has three advantages: (1) It is fast because the linear least square method can be used to estimate the related matrix in the algorithm and it is not necessary to calculate the fundamental matrix in the extended case; (2) A virtual object can still be superimposed on a related area even if some parts of the specified area are occluded during the augmentation process; and (3) This method is robust because it remains effective even when not all the reference points are detected during the augmentation process (in the rendering process), as long as at least six pairs of related reference point correspondences can be found. Several projective matrices obtained from the authors’ previous work, which are unrelated with the present AR system, were tested on this extended registration method. Experiments showed that these projective matrices can also be utilized for tracking the specified points.
Subjects
augmented reality
registration
projective reconstruction
tracking
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