Output details
11 - Computer Science and Informatics
Robert Gordon University
Output title
Automatic 3D Facial Model and Texture Reconstruction from Range Scans
Type
E - Conference contribution
Name of conference/published proceedings
Articulated Motion and Deformable Objects: Proceedings of the 6th International Conference, AMDO 2010 (LNCS Volume 6169)
Volume number
6169
Issue number
-
First page of article
260
ISSN of proceedings
1611-3349
Year of publication
2010
URL
-
Number of additional authors
2
Additional information
We present a new template-fitting approach to deform 3D facial images and clone facial expressions, based on physical principles of elastic energy. Our approach is applied successfully to deform a generic 3D facial model to range scans of human faces with different poses and facial expression. This technique and unlike other common approaches is fully automated, and requires no user intervention. Testing was done using e.g Face Recognition Grand Challenge Database 2.0 (one of the most comprehensive 3D Face database available) and shows a clear and significant improvement in speed and accuracy, which is of interest to the research community.
Interdisciplinary
-
Cross-referral requested
-
Research group
None
Citation count
0
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
