Advanced Correlation Filters for Biometric Recognition A simple and effective code for Correlation Filters Face Verification.
Download

Advanced Correlation Filters for Biometric Recognition Ranking & Summary

Advanced Correlation Filters for Biometric Recognition Tags

filter Algorithm cross-correlation Realtime correlation correlation coefficient correlation test correlation signal correlation correlation pulse correlation analysis SPT correlation gene correlation Correlation Meter view correlation correlation strategy analysis analyze correlation strategy Advanced Correlation Filter Biometric Recognition Correlation Filter study correlation coefficient geo correlation

Advanced Correlation Filters for Biometric Recognition Description

Correlation filters have been applied successfully to automatic target recognition (ATR) problems. The most basic correlation filter is the matched spatial filter (MSF), whose impulse response (in 2-D, point spread function) is the flipped version of the reference image. Face verification is an important tool for authentication of an individual and it can be of significant value in security and e-commerce applications. We have developed an effective application of correlation filters for face verification. The performance of a specific type of correlation filter called the minimum average correlation energy (MACE) filter is evaluated using Facial Expression Database collected at the Advanced Multimedia Processing Lab at Carnegie Mellon University (CMU). Give Advanced Correlation Filters for Biometric Recognition a try to fully assess its capabilities!

Advanced Correlation Filters for Biometric Recognition Related Software