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A Perception Framework For Inspection And Reverse Engineering

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dc.contributor.advisor Sobh, Tarek M. en_US
dc.contributor.author Sobh, Tarek M. en_US
dc.contributor.author Dekhil, Mohamed en_US
dc.contributor.author Jaynes, Chris en_US
dc.contributor.author Henderson, Thomas C. en_US
dc.date.accessioned 2014-07-16T16:57:33Z
dc.date.available 2014-07-16T16:57:33Z
dc.date.issued 1993-06 en_US
dc.identifier.other 4b10ea95-84a9-c6bf-3fbd-1a7bb44b0039 en_US
dc.identifier.uri https://scholarworks.bridgeport.edu/xmlui/handle/123456789/780
dc.description.abstract We address a perception framework for intelligent inspection and reverse engineering in this work. In particular, we investigate the use of discrete event dynamic systems (DEDS) to guide the sensing of mechanical parts. We introduce dynamic recursive finite state machines (DRFSM) as a new DEDS tool for utilizing the recursive nature of the mechanical parts under consideration. The proposed framework uses DRFSM DEDS for constructing an observer for exploration and inspection purposes. We construct a sensing → CAD interface for the automatic reconstruction of parts from visual data. We also implement a graphical interface for designing DRFSM DEDS controllers. en_US
dc.description.uri http://ieeexplore.ieee.org.libproxy.bridgeport.edu/stamp/stamp.jsp?tp=&arnumber=341062 en_US
dc.publisher IEEE en_US
dc.title A Perception Framework For Inspection And Reverse Engineering en_US
dc.type Article en_US
dc.event.location New York, NY USA en_US
dc.event.name IEEE Conference on Computer Vision and Pattern Recognition (CVPR '93) en_US


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