Joint Face Detection and Tracking in Three-Dimensional Space
Zhang, Zhenqiu
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https://hdl.handle.net/2142/81085
Description
Title
Joint Face Detection and Tracking in Three-Dimensional Space
Author(s)
Zhang, Zhenqiu
Issue Date
2008
Doctoral Committee Chair(s)
Thomas Huang
Department of Study
Electrical and Computer Engineering
Discipline
Electrical and Computer Engineering
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
Ph.D.
Degree Level
Dissertation
Keyword(s)
Engineering, Electronics and Electrical
Language
eng
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.
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