Dynamic Local Ternary Pattern for Face Recognition and Verification

[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