USING AFFINE CORRESPONDENCE TO ESTIMATE 3-D FACIAL POSE

Yao Pingping, G Evans, A Calway

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

38 Citations (Scopus)

Abstract

We describe a method for tracking a person's face through an image sequence and estimating the 3-D facial pose within each frame. It is based on an affine approximation to the motion of projected facial features such as eyes, mouth and nose. Tracking stability is maintained by enforcing the affine relationship amongst the motion of the features using linear regression and a Kalman filter. Facial pose is estimated using an ellipse-circle correspondence technique based on the affine transformation between the features in the current view and those in a fronto-parallel view. The method has the advantage of being simple to implement and not relying on assumed facial characteristics.
Original languageEnglish
Title of host publicationUnknown
EditorsI. Pitas
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages919 - 922
Number of pages3
ISBN (Print)0780367278
Publication statusPublished - Oct 2001

Bibliographical note

Conference Proceedings/Title of Journal: Proceedings of the IEEE International Conference on Image Processing

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    Pingping, Y., Evans, G., & Calway, A. (2001). USING AFFINE CORRESPONDENCE TO ESTIMATE 3-D FACIAL POSE. In I. Pitas (Ed.), Unknown (pp. 919 - 922). Institute of Electrical and Electronics Engineers (IEEE). http://www.cs.bris.ac.uk/Publications/pub_info.jsp?id=1000590