Joint Face Detection and Tracking in Three-Dimensional Space

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.

Name thesis:degree_name

Ph.D.

Level thesis:degree_level

Dissertation

Discipline thesis:degree_discipline

Electrical and Computer Engineering

Grantor

University of Illinois at Urbana-Champaign

Year dc:date

2015

Author dc:creator

• Zhang, Zhenqiu

Contributors dc:contributor

• Thomas Huang

• Engineering, Electronics and Electrical

Language dc:language

eng

Identifier

(MiAaPQ)AAI3314954

OAI identifier oai:identifier

oai:www.ideals.illinois.edu:2142/81085