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 classification 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.
Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.
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 working as an Assistant Professor, Department of Information Technology,Malla Reddy Engineering College, Secundrabad.
„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.
Anbieter: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Deutschland
Taschenbuch. Zustand: 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 classification 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. Bestandsnummer des Verkäufers 9786204207537
Anzahl: 2 verfügbar
Anbieter: Books Puddle, New York, NY, USA
Zustand: New. Bestandsnummer des Verkäufers 26401139532
Anzahl: 4 verfügbar
Anbieter: Majestic Books, Hounslow, Vereinigtes Königreich
Zustand: New. Print on Demand. Bestandsnummer des Verkäufers 396318867
Anzahl: 4 verfügbar
Anbieter: Biblios, Frankfurt am main, HESSE, Deutschland
Zustand: New. PRINT ON DEMAND. Bestandsnummer des Verkäufers 18401139526
Anzahl: 4 verfügbar
Anbieter: moluna, Greven, Deutschland
Kartoniert / Broschiert. Zustand: 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 . Bestandsnummer des Verkäufers 522554911
Anzahl: Mehr als 20 verfügbar
Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland
Taschenbuch. Zustand: 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 classification 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. Bestandsnummer des Verkäufers 9786204207537
Anzahl: 1 verfügbar
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: 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 classification 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. Bestandsnummer des Verkäufers 9786204207537
Anzahl: 1 verfügbar
Anbieter: preigu, Osnabrück, Deutschland
Taschenbuch. Zustand: 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. Bestandsnummer des Verkäufers 120753410
Anzahl: 5 verfügbar