The Combinatorics of Local Constraints in Model-Based Recognition and Localization from Sparse Data
The problem of recognizing what objects are where in the workspace of a robot can be cast as one of searching for a consistent matching between sensory data elements and equivalent model elements. In principle, this search space is enormous and to control the potential combinatorial explosion,...
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| Language: | en_US |
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2004
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| Online Access: | http://hdl.handle.net/1721.1/6398 |