3D Morphable Model Construction for Robust Ear and Face Recognition

John D. Bustard*, Mark S. Nixon

*Corresponding author for this work

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

29 Citations (Scopus)

Abstract

Recent work suggests that the human ear varies significantly between different subjects and can be used for identification. In principle, therefore, using ears in addition to the face within a recognition system could improve accuracy and robustness, particularly for non-frontal views. The paper describes work that investigates this hypothesis using an approach based on the construction of a 3D morphable model of the head and ear. One issue with creating a model that includes the ear is that existing training datasets contain noise and partial occlusion. Rather than exclude these regions manually, a classifier has been developed which automates this process. When combined with a robust registration algorithm the resulting system enables full head morphable models to be constructed efficiently using less constrained datasets. The algorithm has been evaluated using registration consistency, model coverage and minimalism metrics, which together demonstrate the accuracy of the approach. To make it easier to build on this work, the source code has been made available online.

Original languageEnglish
Title of host publication2010 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR)
Place of PublicationLOS ALAMITOS
PublisherIEEE Computer Society
Pages2582-2589
Number of pages8
Publication statusPublished - 2010
Event23rd IEEE Conference on Computer Vision and Pattern Recognition (CVPR) - San Francisco, Canada
Duration: 13 Jun 201018 Jun 2010

Publication series

NameIEEE Conference on Computer Vision and Pattern Recognition
PublisherIEEE COMPUTER SOC
ISSN (Print)1063-6919

Conference

Conference23rd IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
CountryCanada
Period13/06/201018/06/2010

Keywords

  • SHAPE

Cite this

Bustard, J. D., & Nixon, M. S. (2010). 3D Morphable Model Construction for Robust Ear and Face Recognition. In 2010 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR) (pp. 2582-2589). (IEEE Conference on Computer Vision and Pattern Recognition). IEEE Computer Society.