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Title:Joint Face Detection and Tracking in Three-Dimensional Space
Author(s):Zhang, Zhenqiu
Doctoral Committee Chair(s):Thomas Huang
Department / Program:Electrical and Computer Engineering
Discipline:Electrical and Computer Engineering
Degree Granting Institution:University of Illinois at Urbana-Champaign
Subject(s):Engineering, Electronics and Electrical
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.
Issue Date:2008
Description:86 p.
Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2008.
Other Identifier(s):(MiAaPQ)AAI3314954
Date Available in IDEALS:2015-09-25
Date Deposited:2008

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