M. L. Yuan

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Registration is one of the most difficult problems in augmented reality (AR) systems. In this paper, a simple registration method using natural features based on the projective reconstruction technique is proposed. This method consists of two steps: embedding and rendering. Embedding involves specifying four points to build the world coordinate system on(More)
This paper presents a markerless registration approach for Augmented Reality (AR) systems based on the Kanade-Lucas-Tomasi (KLT) natural feature tracker and the affine reconstruction and reprojection techniques. First, the KLT tracker is used to track the corresponding feature points in two control images. Next, four planar points are specified in each(More)
In AR systems, registration is one of the most difficult problems currently limiting their application. In this paper, we propose 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(More)
Natural feature tracking is a popular research topic in computer vision and has been used in Augmented Reality (AR) applications. Current natural feature trackers have two major limitations in AR applications. Firstly, the natural features may be lost during the tracking process such that the annotations that are linked to these natural features will also(More)
In AR systems, registration is one of the most difficult problems currently limiting its applications. In this paper, we proposed a simple registration method using projective reconstruction. This method includes two steps: embedding and tracking. Embedding involves specifying four points to build the world coordinate system on which a virtual object will(More)
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