Characterizing smiles in the context of video phone data compression

Li An Tang, Thomas S Huang

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

Abstract

We propose an approach to characterizing human smiles based on the principal component analysis of the facial motion parameters. Motion vectors of a set of feature points are derived from neutral and smiling face images and a feature space is built based on those motion vectors. The principal component analysis technique is used for dimension reduction and some preliminary results of smile characterization are obtained.

Original languageEnglish (US)
Title of host publicationTrack C
Subtitle of host publicationApplications and Robotic Systems
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages659-663
Number of pages5
Volume3
ISBN (Print)081867282X, 9780818672828
DOIs
StatePublished - 1996
Event13th International Conference on Pattern Recognition, ICPR 1996 - Vienna, Austria
Duration: Aug 25 1996Aug 29 1996

Other

Other13th International Conference on Pattern Recognition, ICPR 1996
CountryAustria
CityVienna
Period8/25/968/29/96

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition

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