In this paper, we describe and evaluate an approach that uses implicit
models of facial features to cope with the problem of recognizing
faces under varying pose. The underlying recognition process attaches
a parameterized model to every enrolled image that allows the parameter controlled transformation of the stored biometric template into miscellaneous poses within a wide range. We also propose a method for accurate automatic landmark localization in conjunction with pose estimation, which is required by the latter approach. The approach is extensible to other problems in the domain of face recognition for instance facial expression. In the experimental section we present an analysis with respect to accuracy and compare the computational effort with the one of a standard approach.
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.