A New Parameterised Feature-Based Generic 3D Human Face Model for Emotional Bio-Robots

Zhang, Xu and Zhang, Shujun and Hapeshi, Kevin (2014) A New Parameterised Feature-Based Generic 3D Human Face Model for Emotional Bio-Robots. Applied Mechanics and Materials, 461. pp. 838-847. ISSN 1662-7482

Full text not available from this repository.

Abstract

To represent various human facial expressions is an essential requirement for emotional bio-robots. The human expressions can convey certain emotions for communications of human beings with some muscles positions and their movements. To design and develop emotional robots, it is necessary to build a generic 3D human face model. While the geometrical features of human faces are freeform surfaces with complex properties, it is the fundamental requirement for the model to have the ability of representing both primitive and freeform surfaces. This requirement makes the Non-rational Uniform B-Spline (NURBS) are suitable for 3D human face modelling. In this paper, a new parameterised feature based generic 3D human face model is proposed and implemented. Based on observation of human face anatomy, the authors define thirty-four NURBS curve features and twenty-one NURBS surface features to represent the human facial components, such as eyebrows, eyes, nose and mouth etc. These curve models and surface models can be used to simulate different facial expressions by manipulating the control points of those NURBS features. Unlike the existing individual based face modelling methods, this parameterised 3D face model also gives users the ability to use the model imitate any face appearances. In addition the potential applications of the new proposed 3D face model are also discussed. Besides emotional bio-robots, it is believed that the proposed model can also be applied in other fields such as aesthetic plastic surgery simulation, film and computer game characters creation, and criminal investigation and prevention.

Item Type: Article
Article Type: Article
Subjects: T Technology > T Technology (General)
Divisions: Faculty of Business, Computing and Applied Sciences > School of Computing and Technology > Technical Computing
Research Priority Areas: Innovation, Design and Technology
Depositing User: Anne Pengelly
Date Deposited: 28 Apr 2015 14:55
Last Modified: 28 Sep 2016 16:18
URI: http://eprints.glos.ac.uk/id/eprint/2140

University Staff: Request a correction | Repository Editors: Update this record

University Of Gloucestershire

Bookmark and Share

Find Us On Social Media:

Social Media Icons Facebook Twitter Google+ YouTube Pinterest Linkedin

Other University Web Sites

University of Gloucestershire, The Park, Cheltenham, Gloucestershire, GL50 2RH. Telephone +44 (0)844 8010001.