Facial landmark localization is a crucial step in many facial image analysis applications. In this paper, we propose a
combined ASEF (the average of synthetic exact filter) and pictorial structure method for facial landmark detection. First,
the local-maximums of the ASEF response image for each landmark are extracted as candidates. Then, the ASEF
response of candidates for each landmark and their relative positions are evaluated by the pictorial structure model.
Finally, the combination of candidates with highest score is selected as the final detection result. We show that by
introducing the position constraint to ASEF, the detection accuracy can be highly improved. The experimental results on
the BioID dataset verify the efficiency and accuracy of proposed method.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.