COMING SOON! PQDT Open is getting a new home!

ProQuest Open Access Dissertations & Theses will remain freely available as part of a new and enhanced search experience at www.proquest.com.

Questions? Please refer to this FAQ.

Dissertation/Thesis Abstract

A fuzzy logic based approach to facial expression generation
by Aginlar, Volkan, M.S., California State University, Long Beach, 2013, 63; 1522611
Abstract (Summary)

This thesis attempts to apply and demonstrate a fuzzy logic based approach to the generation of facial expressions based on a set of inputs on a given facial 30 model. The thesis also defines membership functions, linguistic variables and fuzzy rules as the knowledge base of the system.

Inputs for the control of the facial expression generation are implemented in the form of a custom user interface within Autodesk Maya where users can select intensity of emotions through sliding bars. The implementation has been done by using Python 2.6 and Maya Embedded Language (MEL).

Indexing (document details)
Advisor: Lam, Shui
Commitee: Englert, Burkhard, Hoffman, Michael
School: California State University, Long Beach
Department: Computer Engineering and Computer Science
School Location: United States -- California
Source: MAI 51/05M(E), Masters Abstracts International
Source Type: DISSERTATION
Subjects: Computer science
Keywords:
Publication Number: 1522611
ISBN: 978-1-303-02023-0
Copyright © 2021 ProQuest LLC. All rights reserved. Terms and Conditions Privacy Policy Cookie Policy
ProQuest