Face Verification using Second Orders Polynomial Correlation Filters
Publish place: 20th Iranian Conference on Electric Engineering
Publish Year: 1391
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:
ICEE20_127
تاریخ نمایه سازی: 14 مرداد 1391
Abstract:
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
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Authors
Mohammadreza Maddah
Electrical and Computer Engineering Department, Semnan University