Title
Morphable Face Models - An Open Framework
Abstract
In this paper, we present a novel open-source pipeline for face registration based on Gaussian processes as well as an application to face image analysis. Non-rigid registration of faces is significant for many applications in computer vision, such as the construction of 3D Morphable face models (3DMMs). Gaussian Process Morphable Models (GPMMs) unify a variety of non-rigid deformation models with B-splines and PCA models as examples. GPMM separate problem specific requirements from the registration algorithm by incorporating domain-specific adaptions as a prior model. The novelties of this paper are the following: (i) We present a strategy and modeling technique for face registration that considers symmetry, multi-scale and spatially-varying details. The registration is applied to neutral faces and facial expressions. (ii) We release an open-source software framework for registration model-building demonstrated on the publicly available BU3D-FE database. The released pipeline also contains an implementation of an Analysis-by-Synthesis model adaption of 2D face images, tested on the Multi-PIE and LFW database. This enables the community to reproduce, evaluate and compare the individual steps of registration to model-building and 3D/2D model fitting. (iii) Along with the framework release, we publish a new version of the Basel Face Model (BFM-2017) with an improved age distribution and an additional facial expression model.
Year
DOI
Venue
2018
10.1109/FG.2018.00021
2018 13th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2018)
Keywords
DocType
Volume
Morphable Model,Gaussian processes,Gaussian Process Morphable Model,Registration,Basel Face Model,Face Reconstruction
Conference
abs/1709.08398
ISSN
ISBN
Citations 
2326-5396
978-1-5386-2336-7
17
PageRank 
References 
Authors
0.64
3
7
Name
Order
Citations
PageRank
Thomas Gerig1434.07
Andreas Forster2303.62
Clemens Blumer3263.19
Bernhard Egger4373.78
Marcel Lüthi513111.01
Sandro Schönborn6394.23
Thomas Vetter74528529.79