Face Verification using Second Orders Polynomial Correlation Filters
عنوان مقاله: Face Verification using Second Orders Polynomial Correlation Filters
شناسه ملی مقاله: ICEE20_127
منتشر شده در بیستمین کنفرانس مهندسی برق ایران در سال 1391
شناسه ملی مقاله: ICEE20_127
منتشر شده در بیستمین کنفرانس مهندسی برق ایران در سال 1391
مشخصات نویسندگان مقاله:
Mohammadreza Maddah - Electrical and Computer Engineering Department, Semnan University
Saeed Mozaffari
خلاصه مقاله:
Mohammadreza Maddah - Electrical and Computer Engineering Department, Semnan University
Saeed Mozaffari
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
کلمات کلیدی: Polynomial Correlation Filter, Correlation Filter, UMACE-PCF, Nonlinear Filter, Yale Database
صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/154340/