{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/66244"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/66244","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Network Matching: A Versatile Computer Vision Tool","abstract":"U of I Only","abstract_html":"U of I Only","abstract_has_math":false,"creators":["Selander, John Michael"],"institution":"University of Illinois at Urbana-Champaign","degree_name":"Ph.D.","degree_level":"Dissertation","degree_discipline":"Electrical Engineering","degree_department":null,"school":null,"contributors":[],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2014,"date_issued":"2014-12-12T20:55:19Z","date_published":"2014-12-12T20:55:19Z","updated_at":"2026-07-22T22:25:55Z","subjects":["Engineering, Electronics and Electrical","Computer Science"],"languages":["eng"],"rights":[],"rights_urls":[],"identifier_entries":[{"key":"dc:identifier","label":"Identifier","values":["(UMI)AAI8108655"],"render_values":[{"text":"(UMI)AAI8108655","href":null,"code":true}]}]},"links":{"outbound_url":"http://hdl.handle.net/2142/66244","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:creator","label":"Author","values":["Selander, John Michael"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2014-12-12T20:55:19Z","10000-01-01","1980"]},{"key":"dc:type","label":"Dc Type","values":["text"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Electrical Engineering"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Dissertation"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Ph.D."]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["University of Illinois at Urbana-Champaign"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Engineering, Electronics and Electrical","Computer Science"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["eng"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["http://hdl.handle.net/2142/66244","(UMI)AAI8108655"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["U of I Only","149 p.","This work consists of a development and an investigation of the computational process of network matching as it is applied to the computer vision domain. In particular a cost based definition of network matching is developed which is oriented toward the kinds of computational problems that occur in computer vision. Emphasis is placed on the concurrent use of distance and topologic information. Several optimal and near optimal algorithms are developed, and their properties are examined. One of these algorithms was found to be a versatile tool for solving several hereto unrelated problems in the computer vision domain.","The latter part of this work describes the application of this algorithm to four problems. The first problem deals with the determination of depth information from a camera motion sequence. The second problem deals with the construction of three dimensional object models from many images. This problem is made more difficult by denying the computer information concerning the angles and distance between the camera and the object. The third problem deals with the recognition of occluding three dimensional objects in a single view. The final problem deals with network matching as applied to scene labeling in a noisy and ambiguous environment.","Made available in DSpace on 2014-12-12T20:55:19Z (GMT). No. of bitstreams: 1 8108655.pdf: 4521777 bytes, checksum: 4407794041e9cf1399e3cbf600b7c33e (MD5) Previous issue date: 1980","Embargo set by: Seth Robbins for item 66423 Lift date: Forever Reason: Restricted to the U of I community idenfinitely during batch ingest of legacy ETDs","Restricted to the U of I community idenfinitely during batch ingest of legacy ETDs","Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1980."]},{"key":"dc:title","label":"Title","values":["Network Matching: A Versatile Computer Vision Tool"]}]}],"canonical_facts":{"dc:creator":["Selander, John Michael"],"dc:date":["2014-12-12T20:55:19Z","10000-01-01","1980"],"dc:description":["U of I Only","149 p.","This work consists of a development and an investigation of the computational process of network matching as it is applied to the computer vision domain. In particular a cost based definition of network matching is developed which is oriented toward the kinds of computational problems that occur in computer vision. Emphasis is placed on the concurrent use of distance and topologic information. Several optimal and near optimal algorithms are developed, and their properties are examined. One of these algorithms was found to be a versatile tool for solving several hereto unrelated problems in the computer vision domain.","The latter part of this work describes the application of this algorithm to four problems. The first problem deals with the determination of depth information from a camera motion sequence. The second problem deals with the construction of three dimensional object models from many images. This problem is made more difficult by denying the computer information concerning the angles and distance between the camera and the object. The third problem deals with the recognition of occluding three dimensional objects in a single view. The final problem deals with network matching as applied to scene labeling in a noisy and ambiguous environment.","Made available in DSpace on 2014-12-12T20:55:19Z (GMT). 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