A FACS valid 3D dynamic action unit database with applications to 3D dynamic morphable facial modelling

Darren Cosker, Eva Krumhuber, Adrian Hilton

Research output: Chapter in Book/Report/Conference proceedingConference contribution

64 Citations (Scopus)

Abstract

This paper presents the first dynamic 3D FACS data set for facial expression research, containing 10 subjects performing between 19 and 97 different AUs both individually and in combination. In total the corpus contains 519 AU sequences. The peak expression frame of each sequence has been manually FACS coded by certified FACS experts. This provides a ground truth for 3D FACS based AU recognition systems. In order to use this data, we describe the first framework for building dynamic 3D morphable models. This includes a novel Active Appearance Model (AAM) based 3D facial registration and mesh correspondence scheme. The approach overcomes limitations in existing methods that require facial markers or are prone to optical flow drift. We provide the first quantitative assessment of such 3D facial mesh registration techniques and show how our proposed method provides more reliable correspondence
Original languageEnglish
Title of host publication2011 IEEE International Conference on Computer Vision (ICCV)
PublisherIEEE
Pages2296-2303
Number of pages8
ISBN (Print)9781457711015
DOIs
Publication statusPublished - 13 Nov 2011
Event13th International Conference on Computer Vision (ICCV) - Barcelona, Spain
Duration: 6 Nov 201113 Nov 2011

Conference

Conference13th International Conference on Computer Vision (ICCV)
CountrySpain
CityBarcelona
Period6/11/1113/11/11

Cite this

Cosker, D., Krumhuber, E., & Hilton, A. (2011). A FACS valid 3D dynamic action unit database with applications to 3D dynamic morphable facial modelling. In 2011 IEEE International Conference on Computer Vision (ICCV) (pp. 2296-2303). IEEE. https://doi.org/10.1109/ICCV.2011.6126510