By Topic

Eyes and eyebrows parametric models for automatic segmentation

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Hammal, Z. ; LIS, Grenoble, France ; Caplier, A.

The aim of our work is automatic facial expression analysis based on the study of temporal evolution of facial feature boundaries. Previously, we developed a robust and fast algorithm for accurate lip contour segmentation (Eveno, N. et al., IEEE Trans. Circuits and Systems for Video Technology, 2004). Now, we focus on eye and eyebrow boundary extraction. The segmentation of eyes and eyebrows involves three steps: first, an accurate model based on flexible curves is defined for each feature; second, models are initialized on the image to be processed after the detection of characteristic points such as eye corners; third, models are accurately fitted to the facial features of an image according to some information of luminance gradient. The performance of our method is evaluated by a quantitative comparison with a manual ground truth and also by the analysis of expression skeletons based on the results of our facial features segmentation.

Published in:

Image Analysis and Interpretation, 2004. 6th IEEE Southwest Symposium on

Date of Conference:

28-30 March 2004