Optimal Sphere Surface Points for Resolving Orientation in Images
نویسنده
چکیده
This project is to investigate the problem of choosing point locations on the surface of a unit sphere in R such that the projection of the points onto any plane in R is visually dissimilar to the projection onto all other planes in R. The optimal set of point locations is the set that minimizes the similarity among all projections. The problem is a nonlinear inequality problem with quadratic constraints. The motivation for this project is a computer vision application of six degree-of-freedom sphere tracking in a live video sequence.
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تاریخ انتشار 2005