University of Surrey

Test tubes in the lab Research in the ATI Dance Research

A Multiresolution 3D Morphable Face Model and Fitting Framework

Huber, P, Hu, G, Tena, R, Mortazavian, P, Koppen, P, Christmas, WJ, Ratsch, M and Kittler, J (2016) A Multiresolution 3D Morphable Face Model and Fitting Framework In: 11th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, 27-29 February 2016, Rome, Italy.

[img]
Preview
Text
Huber-VISAPP-2016.pdf - Accepted version Manuscript
Available under License : See the attached licence file.

Download (6MB) | Preview
[img]
Preview
Text (licence)
SRI_deposit_agreement.pdf
Available under License : See the attached licence file.

Download (33kB) | Preview

Abstract

3D Morphable Face Models are a powerful tool in computer vision. They consist of a PCA model of face shape and colour information and allow to reconstruct a 3D face from a single 2D image. 3D Morphable Face Models are used for 3D head pose estimation, face analysis, face recognition, and, more recently, facial landmark detection and tracking. However, they are not as widely used as 2D methods - the process of building and using a 3D model is much more involved. In this paper, we present the Surrey Face Model, a multi-resolution 3D Morphable Model that we make available to the public for non-commercial purposes. The model contains different mesh resolution levels and landmark point annotations as well as metadata for texture remapping. Accompanying the model is a lightweight open-source C++ library designed with simplicity and ease of integration as its foremost goals. In addition to basic functionality, it contains pose estimation and face frontalisation algorithms. With the tools presented in this paper, we aim to close two gaps. First, by offering different model resolution levels and fast fitting functionality, we enable the use of a 3D Morphable Model in time-critical applications like tracking. Second, the software library makes it easy for the community to adopt the 3D Morphable Face Model in their research, and it offers a public place for collaboration.

Item Type: Conference or Workshop Item (Conference Paper)
Divisions : Faculty of Engineering and Physical Sciences > Electronic Engineering > Centre for Vision Speech and Signal Processing
Authors :
AuthorsEmailORCID
Huber, PUNSPECIFIEDUNSPECIFIED
Hu, GUNSPECIFIEDUNSPECIFIED
Tena, RUNSPECIFIEDUNSPECIFIED
Mortazavian, PUNSPECIFIEDUNSPECIFIED
Koppen, PUNSPECIFIEDUNSPECIFIED
Christmas, WJUNSPECIFIEDUNSPECIFIED
Ratsch, MUNSPECIFIEDUNSPECIFIED
Kittler, JUNSPECIFIEDUNSPECIFIED
Date : 27 February 2016
Identification Number : 10.5220/0005669500790086
Additional Information : Paper accepted for presentation at 11th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, 27-29 February 2016. Full text may be available at a later date.
Depositing User : Symplectic Elements
Date Deposited : 26 Jan 2016 08:49
Last Modified : 28 Sep 2016 13:14
URI: http://epubs.surrey.ac.uk/id/eprint/809478

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year


Information about this web site

© The University of Surrey, Guildford, Surrey, GU2 7XH, United Kingdom.
+44 (0)1483 300800