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A CAD driven multiscale approach to automated inspection

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dc.contributor.authorMaciejewski, Anthony A., author
dc.contributor.authorKhawaja, Khalid W., author
dc.contributor.authorBouman, Charles Addison, author
dc.contributor.authorTretter, Daniel, author
dc.contributor.authorIEEE, publisher
dc.date.accessioned2007-01-03T06:16:26Z
dc.date.available2007-01-03T06:16:26Z
dc.date.issued1994
dc.description.abstractIn this paper we develop a general multiscale stochastic object detection algorithm for use in an automated inspection application. Information from a CAD model is used to initialize the object model and guide the training phase of the algorithm. An object is represented as a stochastic tree, where each node of the tree is associated with one of the various object components used to locate and identify the part. During the training phase a number of model parameters are estimated from a set of training images, some of which are generated from the CAD model. The algorithm then uses a fast multiscale search strategy to locate and identify the subassemblies making up the object tree. We demonstrate the performance of the algorithm on a typical mechanical assembly.
dc.description.sponsorshipThis work was supported by an AT&T Bell Laboratories PhD Scholarship, the NEC Corporation, National Science Foundation grant number MIP93-00560, and National Science Foundation grant number CDR 8803017 to the Engineering Research Center for Intelligent Manufacturing Systems.
dc.format.mediumborn digital
dc.format.mediumproceedings (reports)
dc.identifier.bibliographicCitationTretter, Daniel, et al., A CAD Driven Multiscale Approach to Automated Inspection, ICASSP-94: 1994 IEEE International Conference on Acoustics, Speech, and Signal Processing, April 19-22, 1994, Adelaide, South Australia: V397-V400.
dc.identifier.urihttp://hdl.handle.net/10217/1212
dc.languageEnglish
dc.language.isoeng
dc.publisherColorado State University. Libraries
dc.relation.ispartofFaculty Publications
dc.rights©1994 IEEE.
dc.rightsCopyright and other restrictions may apply. User is responsible for compliance with all applicable laws. For information about copyright law, please see https://libguides.colostate.edu/copyright.
dc.subjectmechanical engineering computing
dc.subjectobject detection
dc.subjectstochastic processes
dc.subjectCAD
dc.subjectautomatic optical inspection
dc.subjectimage resolution
dc.subjectparameter estimation
dc.subjectmechanical engineering
dc.titleA CAD driven multiscale approach to automated inspection
dc.typeText

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