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13th IEEE Conference on Automatic Face and Gesture Recognition (FG 2018)
Place of Conference
Xi'an, China
Year of Conference
2018
Publisher
IEEE
Pages
75-82
ISSN/ISBN
978-1-5386-2335-0
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 regis- tration 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 and 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.
