Robust Eye Center Localization through Face Alignment and Invariant Isocentric Patterns.

ABSTRACT: The localization of eye centers is a very useful cue for numerous applications like face recognition, facial expression recognition, and the early screening of neurological pathologies. Several methods relying on available light for accurate eye-center localization have been exploited. However, despite the considerable improvements that eye-center localization systems have undergone in recent years, only few of these developments deal with the challenges posed by the profile (non-frontal face). In this paper, we first use the explicit shape regression method to obtain the rough location of the eye centers. Because this method extracts global information from the human face, it is robust against any changes in the eye region. We exploit this robustness and utilize it as a constraint. To loc

SUBMITTER: Pang Z 

PROVIDER: S-EPMC4591357 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature