By Topic

Robust facial feature localization by coupled features

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

5 Author(s)
Zobel, M. ; Lehrstuhl fur Mustererkennung, Erlangen-Nurnberg Univ., Germany ; Gebhard, A. ; Paulus, D. ; Denzler, J.
more authors

We consider the problem of robust localization of faces and some of their facial features. The task arises, e.g., in the medical field of visual analysis of facial paresis. We detect faces and facial features by means of appropriate DCT coefficients that we obtain by neatly using the coding capabilities of a JPEG hardware compressor. Beside an anthropometric localization approach we focus on how spatial coupling of the facial features can be used to improve robustness of the localization. Because the presented approach is embedded in a completely probabilistic framework, it is not restricted to facial features, it can be generalized to multipart objects of any kind. Therefore the notion of a “coupled structure” is introduced. Finally, the approach is applied to the problem of localizing facial features in DCT-coded images and results from our experiments are shown

Published in:

Automatic Face and Gesture Recognition, 2000. Proceedings. Fourth IEEE International Conference on

Date of Conference:

2000