Human face modeling, analysis and synthesis

This thesis research deals with some general problems related to model-based coding systems. While we are looking for the solutions to individual problems, such as facial motion analysis and expression synthesis, we emphasize the importance of the automatic human face modeling algorithm, which is the basis of our model-based coding system. An automatic facial feature extraction algorithm is discussed in detail in this thesis. Based on template matching, the face area and the key points around each facial feature can be determined accurately on the front and side profile view face images. Then a realistic face model of a particular person can be created by mapping a generic 3-D face model to these feature points followed by texture mapping using the face images. A facial motion analysis scheme is used to obtain the motion parameters associated with the face model. Either two end frames or sequences of images of people showing facial expressions can be used to derive the motion parameters related to various facial expressions.

Name thesis:degree_name

Ph.D.

Level thesis:degree_level

Dissertation

Discipline thesis:degree_discipline

Electrical Engineering

Grantor

University of Illinois at Urbana-Champaign

Year dc:date

2011

Author dc:creator

• Tang, Li-An

Contributors dc:contributor

• Huang, Thomas S.

• Engineering, Electronics and Electrical

Statement dc:rights

• Copyright 1996 Tang, Li-An

Language dc:language

eng

Identifier

9780591089394
AAI9702681
(UMI)AAI9702681

OAI identifier oai:identifier

oai:www.ideals.illinois.edu:2142/19663