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.
|Title of host publication
|Subtitle of host publication
|Applications and Robotic Systems
|Institute of Electrical and Electronics Engineers Inc.
|Number of pages
|Published - 1996
|13th International Conference on Pattern Recognition, ICPR 1996 - Vienna, Austria
Duration: Aug 25 1996 → Aug 29 1996
|Proceedings - International Conference on Pattern Recognition
|13th International Conference on Pattern Recognition, ICPR 1996
|8/25/96 → 8/29/96
ASJC Scopus subject areas
- Computer Vision and Pattern Recognition