2026-09-19T21:10:19Z https://www.ideals.illinois.edu/oai-pmh

oai:www.ideals.illinois.edu:2142/81085 2023-07-11 col_2142_5131 col_2142_8888 com_2142_5130 com_2142_8887 com_2142_234

Thomas Huang Zhang, Zhenqiu 2015-09-25T20:09:32Z 2015-09-25T20:09:32Z 10000-01-01 2008 2008 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. Made available in DSpace on 2015-09-25T20:09:32Z (GMT). No. of bitstreams: 2 license.txt: 4848 bytes, checksum: 96035ab3f5e1c23cc7138a224ce498bd (MD5) 3314954.pdf: 1413572 bytes, checksum: 0542981ac0d04cb5c6e624df558e9b02 (MD5) Previous issue date: 2008 Embargo set by: Seth Robbins for item 82367 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 U of I Only 86 p. Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2008. http://hdl.handle.net/2142/81085 (MiAaPQ)AAI3314954 eng Engineering, Electronics and Electrical Joint Face Detection and Tracking in Three-Dimensional Space text Electrical and Computer Engineering Electrical and Computer Engineering University of Illinois at Urbana-Champaign Dissertation Ph.D.