Determining intrinsic scene characteristics from images

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dc.contributor.authorPong, Ting-Chuenen
dc.contributor.committeechairHaralick, Robert M.en
dc.contributor.committeememberShapiro, Linda G.en
dc.contributor.committeememberEhrich, Roger W.en
dc.contributor.committeememberCraig, James R.en
dc.contributor.committeememberBoisen, Monte B. Jr.en
dc.contributor.departmentComputer Science and Applicationsen
dc.date.accessioned2017-03-10T15:15:06Zen
dc.date.available2017-03-10T15:15:06Zen
dc.date.issued1984en
dc.description.abstractThree fundamental problems in computer vision are addressed in this dissertation. The first deals with the problem of how to extract and assemble a rich symbolic representation of the gray level intensity changes in an image. Results show that the facet model based feature extraction scheme proposed here is superior to the other existing techniques. The second problem addressed deals with the interpretation of the resulting structures as three-dimensional object surfaces. The three different shape modules described in this dissertation are found to be useful in the recovery of intrinsic scene characteristics. Finally, mechanisms for interaction among different sources of information obtained from different shape modules are studied. It is demonstrated that interactions among shape modules can enhance the data acquired by different means.en
dc.description.degreePh. D.en
dc.format.extentx, 194 leavesen
dc.format.mimetypeapplication/pdfen
dc.identifier.urihttp://hdl.handle.net/10919/76077en
dc.language.isoen_USen
dc.publisherVirginia Polytechnic Institute and State Universityen
dc.relation.isformatofOCLC# 11853099en
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subject.lccLD5655.V856 1984.P665en
dc.subject.lcshImage processing -- Digital techniquesen
dc.subject.lcshComputer graphicsen
dc.titleDetermining intrinsic scene characteristics from imagesen
dc.typeDissertationen
dc.type.dcmitypeTexten
thesis.degree.disciplineComputer Science and Applicationsen
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen
thesis.degree.leveldoctoralen
thesis.degree.namePh. D.en

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