Face Verification using Second Orders Polynomial Correlation Filters

Face verification is a critical task for individual authentication, e-commerce applications and security purpose. Correlation filtering has recently been reintroduced to thefacial verification domain. In This paper we utilize polynomial correlation filter (PCF) based on unconstrained minimum average correlation energy (UMACE).The performance ofUMACE-PCF is evaluated using YALE B database. A comparison of verification performance between the secondorders of UMACE-PCF and UMACE filter is also presented

کلیدواژه ها:

Polynomial Correlation Filter ، Correlation Filter ، UMACE-PCF ، Nonlinear Filter ، Yale Database