Juan Carlos Esteva

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A candidate pose algorithm is described which computes object pose from an assumed correspondence between a pair of 2D image points and a pair of 3D model points. By computing many pose candidates actual object pose can usually be determined by detecting a cluster in the space of all candidates. Cluster space can receive candidate pose parameters from(More)
As interest in developing expert systems continues to grow, it become more important for us to increase our understanding of how to successfully build these systems. The major problem that currently constricts the development of expert systems is the formidable process of eliciting knowledge from human experts. A possible solution to alleviate this(More)
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