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Face Recognition Based on Polar Frequency Features
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Abstract
A novel biologically motivated face recognition algorithm based mostly on polar frequency is introduced. Polar frequency descriptors are extracted from face pictures by Fourier-Bessel rework (FBT). Most of the present face recognition algorithms are based mostly on function extraction from a Cartesian perspective, typical to most analog and digital imaging methods. The primate visible system, then again, is understood to course of visible stimuli logarithmically. An various illustration of a picture within the polar frequency area is the 2-dimensional Fourier-Bessel Transform. This rework discovered a number of purposes in analyzing patterns in a round area, however was seldom exploited for picture recognition. These outcomes point out the excessive informative worth of the polar frequency content material of face pictures in relation to recognition and verification duties, and that the Cartesian frequency content material can complement details about the themes’ id, however probably solely when the pictures will not be pre-normalized.
Yossi Zana and Roberto M. Cesar Jr, “Face recognition based mostly on polar frequency options”, ACM Transactions on Applied Perception (TAP), Volume A Issue B (2006), pages sixty two-eighty two.
Keyword: face recognition, fourier coefficients, polar frequency, fourier-bessel rework, fbt, discrete fourier rework, function analysis and choice, human notion.
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Face Recognition Based on Polar Frequency Features
matlab-recognition-code.com/face-recognition-based-on-pol...
Abstract
A novel biologically motivated face recognition algorithm based mostly on polar frequency is introduced. Polar frequency descriptors are extracted from face pictures by Fourier-Bessel rework (FBT). Most of the present face recognition algorithms are based mostly on function extraction from a Cartesian perspective, typical to most analog and digital imaging methods. The primate visible system, then again, is understood to course of visible stimuli logarithmically. An various illustration of a picture within the polar frequency area is the 2-dimensional Fourier-Bessel Transform. This rework discovered a number of purposes in analyzing patterns in a round area, however was seldom exploited for picture recognition. These outcomes point out the excessive informative worth of the polar frequency content material of face pictures in relation to recognition and verification duties, and that the Cartesian frequency content material can complement details about the themes’ id, however probably solely when the pictures will not be pre-normalized.
Yossi Zana and Roberto M. Cesar Jr, “Face recognition based mostly on polar frequency options”, ACM Transactions on Applied Perception (TAP), Volume A Issue B (2006), pages sixty two-eighty two.
Keyword: face recognition, fourier coefficients, polar frequency, fourier-bessel rework, fbt, discrete fourier rework, function analysis and choice, human notion.
Complete your name and email to Download This .
Click Here For Your Donation In Order To Obtain The Source Code