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dc.contributor.authorArkin, Ronald C.
dc.contributor.authorSantamaria, Juan Carlos
dc.date.accessioned2008-05-29T19:17:29Z
dc.date.available2008-05-29T19:17:29Z
dc.date.issued1995
dc.identifier.urihttp://hdl.handle.net/1853/22223
dc.description.abstractThis paper describes the results from a feasibility analysis performed on two different structured light system designs and the image processing algorithms they require for dent detection and localization. The impact of each structured light system is analyzed in terms of their mechanical realization and the complexity of the image processing algorithms required for robust dent detection. The two design alternatives considered consist of projecting vertical or horizontal laser stripes on the drum surface. The first alternative produces straight lines in the image plane and requires scanning the drum surface horizontally, whereas the second alternative produces conic curves on the camera plane and requires scanning the drum surface vertically. That is, the first alternative favors image processing against mechanical realization while the second alternative favors mechanical realization against image processing. The results from simulated and real structured light systems are presented and their major advantages and disadvantages for dent detection are presented. The paper concludes with the lessons learned from experiments with real and simulated structured light system prototypes.en_US
dc.language.isoen_USen_US
dc.publisherGeorgia Institute of Technologyen_US
dc.subjectDent detectionen_US
dc.subjectImage processingen_US
dc.subjectStructured light systemsen_US
dc.titleStructured Light Systems for Dent Recognition: Lessons Learneden_US
dc.typePaperen_US
dc.contributor.corporatenameGeorgia Institute of Technology. College of Computing


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  • Mobile Robot Laboratory [187]
    Papers, pre/post-prints, and presentations by faculty and students in the Georgia Tech Mobile Robot Laboratory.
  • Mobile Robot Laboratory Publications [187]
    Papers, pre/post-prints, and presentations by faculty and students in the Georgia Tech Mobile Robot Laboratory.

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