Daffodil International University
Faculty of Science and Information Technology => Recent Technologies and Trends in Software Engineering => Software Engineering => Image Processing Computer Networks => Topic started by: iftekhar.swe on September 05, 2018, 03:41:05 PM
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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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Good one. Need more research on it.
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Thanks for sharing
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Thanks for sharing. :)
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Informative post, thank you for sharing this post