Y. Pang

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Nearest feature line-based subspace analysis is first proposed in this paper. Compared with conventional methods, the newly proposed one brings better generalization performance and incremental analysis. The projection point and feature line distance are expressed as a function of a subspace, which is obtained by minimizing the mean square feature line(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)
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