{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/81085"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/81085","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Joint Face Detection and Tracking in Three-Dimensional Space","abstract":"Visual detection and tracking of faces in complex scenes is a very interesting and challenging problem. In general, real human-computer interaction scenarios present significant challenges to most face detection and tracking algorithms, for example, partially occluded and low-resolution faces, as well as lighting and head-pose variations. These difficulties can often be successfully addressed by additional information in the form of multicamera input to reduce spatial uncertainty in the scene of interest. The system described in this dissertation takes such information into account by providing a joint framework for 3D face detection and tracking.","abstract_html":"Visual detection and tracking of faces in complex scenes is a very interesting and challenging problem. In general, real human-computer interaction scenarios present significant challenges to most face detection and tracking algorithms, for example, partially occluded and low-resolution faces, as well as lighting and head-pose variations. These difficulties can often be successfully addressed by additional information in the form of multicamera input to reduce spatial uncertainty in the scene of interest. The system described in this dissertation takes such information into account by providing a joint framework for 3D face detection and tracking.","abstract_has_math":false,"creators":["Zhang, Zhenqiu"],"institution":"University of Illinois at Urbana-Champaign","degree_name":"Ph.D.","degree_level":"Dissertation","degree_discipline":"Electrical and Computer Engineering","degree_department":null,"school":null,"contributors":["Thomas Huang"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2015,"date_issued":"2015-09-25T20:09:32Z","date_published":"2015-09-25T20:09:32Z","updated_at":"2026-07-22T22:26:15Z","subjects":["Engineering, Electronics and Electrical"],"languages":["eng"],"rights":[],"rights_urls":[],"identifier_entries":[{"key":"dc:identifier","label":"Identifier","values":["(MiAaPQ)AAI3314954"],"render_values":[{"text":"(MiAaPQ)AAI3314954","href":null,"code":true}]}]},"links":{"outbound_url":"http://hdl.handle.net/2142/81085","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Thomas Huang"]},{"key":"dc:creator","label":"Author","values":["Zhang, Zhenqiu"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2015-09-25T20:09:32Z","10000-01-01","2008"]},{"key":"dc:type","label":"Dc Type","values":["text"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Electrical and Computer 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"]}]},{"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/2142/81085","(MiAaPQ)AAI3314954"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Visual detection and tracking of faces in complex scenes is a very interesting and challenging problem. 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