Layered Local Binary Pattern by Hirebeel Rajeshwari (8 results)

- Softcover
Seller: Books Puddle, New York, NY, U.S.A.Books Puddle
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Seller: preigu, Osnabrück, Germanypreigu
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Taschenbuch. Condition: Neu. Layered Local Binary Pattern for Face Detection | Rajeshwari P. Hirebeel (u. a.) | Taschenbuch | Englisch | 2021 | LAP LAMBERT Academic Publishing | EAN 9786204207537 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter:… preigu.

Language: English
Published by LAP LAMBERT Academic Publishing Sep 2021, 2021
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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Interaction between man and machine can be obtained by detecting and classifying faces. The challenges for practical face detection and categorization are fewer lighting conditions and noise. LBP is the best technique for face class…ification and detection because LBP is a non-parametric descriptor that capably summarizes the local structure of images. Due to the dependability of LBP, various LBP techniques are established as well as demonstrated for the improvement of face recognition performance. This technique is insensitive to noise and low contrasted faces. However, this technique is failed to retain small important features like stickers on the forehead and moles on the face which carry useful information. To overcome these drawbacks, the layered local binary pattern is proposed in this project. For computational convenience, the eight binary codes are transformed at each layer into a decimal number. 72 pp. Englisch.

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Seller: Majestic Books, Hounslow, United KingdomMajestic Books
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Seller: Biblios, frankfurt am main, HESSE, GermanyBiblios
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Seller: moluna, Greven, Germanymoluna
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Kartoniert / Broschiert. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Hirebeel Rajeshwari P.Rajeshwari P Hirebeel received her B.E degree from, VTU, Belagavi Karnataka in 2014, her M.Tech from VTU, Belagavi, Karnataka in 2016. her area of interest… is Web Technologies & Android applications. Presently .

Language: English
Published by LAP LAMBERT Academic Publishing Sep 2021, 2021
- Softcover
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Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germanybuchversandmimpf2000
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Interaction between man and machine can be obtained by detecting and classifying faces. The challenges for practical face detection and categorization are fewer lighting conditions and noise. LBP is the best technique for face classific…ation and detection because LBP is a non-parametric descriptor that capably summarizes the local structure of images. Due to the dependability of LBP, various LBP techniques are established as well as demonstrated for the improvement of face recognition performance. This technique is insensitive to noise and low contrasted faces. However, this technique is failed to retain small important features like stickers on the forehead and moles on the face which carry useful information. To overcome these drawbacks, the layered local binary pattern is proposed in this project. For computational convenience, the eight binary codes are transformed at each layer into a decimal number.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 72 pp. Englisch.

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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Interaction between man and machine can be obtained by detecting and classifying faces. The challenges for practical face detection and categorization are fewer lighting conditions and noise. LBP is the best technique for face classifica…tion and detection because LBP is a non-parametric descriptor that capably summarizes the local structure of images. Due to the dependability of LBP, various LBP techniques are established as well as demonstrated for the improvement of face recognition performance. This technique is insensitive to noise and low contrasted faces. However, this technique is failed to retain small important features like stickers on the forehead and moles on the face which carry useful information. To overcome these drawbacks, the layered local binary pattern is proposed in this project. For computational convenience, the eight binary codes are transformed at each layer into a decimal number.