Faculty of Science and Information Technology > Image Processing Computer Networks

Dynamic Local Ternary Pattern for Face Recognition and Verification

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iftekhar.swe:
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

Fahad Zamal:
Good one. Need more research on it.

s.arman:
Thanks for sharing

Tapushe Rabaya Toma:
Thanks for sharing.  :)

anwar.swe:
Informative post, thank you for sharing this post

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