loading
Documents

Research.Publish.Connect.

Paper

Authors: Patrik Huber 1 ; Guosheng Hu 2 ; Rafael Tena 1 ; Pouria Mortazavian 3 ; Willem P. Koppen 1 ; William J. Christmas 1 ; Matthias Rätsch 4 and Josef Kittler 1

Affiliations: 1 University of Surrey, United Kingdom ; 2 INRIA Grenoble Rhône-Alpes, France ; 3 Samsung Electronics Research Institute, United Kingdom ; 4 Reutlingen University, Germany

ISBN: 978-989-758-175-5

Keyword(s): 3D Morphable Face Model, 3D Face Reconstruction, Face Model Fitting, Pose Estimation, Shape Reconstruction, Open Source Software.

Related Ontology Subjects/Areas/Topics: Applications ; Applications and Services ; Computer Vision, Visualization and Computer Graphics ; Enterprise Information Systems ; Geometry and Modeling ; Human and Computer Interaction ; Human-Computer Interaction ; Image and Video Analysis ; Image-Based Modeling ; Pattern Recognition ; Shape Representation and Matching ; Software Engineering

Abstract: 3D Morphable Face Models are a powerful tool in computer vision. They consists 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. (More)

PDF ImageFull Text

Download
Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 54.221.9.6

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Huber P., Hu G., Tena R., Mortazavian P., Koppen W., Christmas W., Rätsch M. and Kittler J. (2016). A Multiresolution 3D Morphable Face Model and Fitting Framework.In Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP, (VISIGRAPP 2016) ISBN 978-989-758-175-5, pages 79-86. DOI: 10.5220/0005669500790086

@conference{visapp16,
author={Patrik Huber and Guosheng Hu and Rafael Tena and Pouria Mortazavian and Willem P. Koppen and William J. Christmas and Matthias Rätsch and Josef Kittler},
title={A Multiresolution 3D Morphable Face Model and Fitting Framework},
booktitle={Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP, (VISIGRAPP 2016)},
year={2016},
pages={79-86},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005669500790086},
isbn={978-989-758-175-5},
}

TY - CONF

JO - Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP, (VISIGRAPP 2016)
TI - A Multiresolution 3D Morphable Face Model and Fitting Framework
SN - 978-989-758-175-5
AU - Huber P.
AU - Hu G.
AU - Tena R.
AU - Mortazavian P.
AU - Koppen W.
AU - Christmas W.
AU - Rätsch M.
AU - Kittler J.
PY - 2016
SP - 79
EP - 86
DO - 10.5220/0005669500790086

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.