Feature Matching for Object Localization in the Presence of Uncertainty

We consider the problem of matching model and sensory data features in the presence of geometric uncertainty, for the purpose of object localization and identification. The problem is to construct sets of model feature and sensory data feature pairs that are geometrically consistent given that there...

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Bibliographic Details
Main Author: Cass, Todd Anthony
Language:en_US
Published: 2004
Online Access:http://hdl.handle.net/1721.1/6506

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