Author Topic: Dynamic Local Ternary Pattern for Face Recognition and Verification  (Read 125 times)

Offline iftekhar.swe

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Abstract: Face recognition and verification algorithms use a variety of features that describe a face. Many of them are affected by the change of illumination and intensity fluctuation due to noise. Inspired by the properties of human visual system, a dynamic local ternary pattern has been proposed that allow not only encoding important texture features but also reduction of the effect of noises for face recognition and/or verification. This descriptor is constructed with the aid of Weber’s law, and has been experimented on a benchmark face verification dataset, named Labeled Faces in the Wild (LFW) resulting very promising performances even in uncontrolled environment.

Full-Paper: https://www.researchgate.net/profile/Md_Efat/publication/304083734_Dynamic_Local_Ternary_Pattern_for_Face_Recognition_and_Verification/links/5765d00108ae421c4489d53f/Dynamic-Local-Ternary-Pattern-for-Face-Recognition-and-Verification.pdf
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MD. IFTEKHAR ALAM EFAT
Sr. Lecturer
Department of Software Engineering, FSIT
Daffodil International Univeristy

Offline Fahad Zamal

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Re: Dynamic Local Ternary Pattern for Face Recognition and Verification
« Reply #1 on: November 15, 2018, 12:58:30 AM »
Good one. Need more research on it.

Offline s.arman

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Re: Dynamic Local Ternary Pattern for Face Recognition and Verification
« Reply #2 on: April 16, 2019, 07:52:27 PM »
Thanks for sharing