9786206752080 - real time face detection and recognition: matlab based facial recognition system de bhusari, pankaj; bhusari, komal (8 resultados)
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Librería: Books Puddle, New York, NY, Estados Unidos de AmericaBooks Puddle
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Librería: preigu, Osnabrück, Alemaniapreigu
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Taschenbuch. Condición: Neu. Real Time Face Detection and Recognition | Matlab Based Facial Recognition System | Pankaj Bhusari (u. a.) | Taschenbuch | Englisch | 2023 | LAP LAMBERT Academic Publishing | EAN 9786206752080 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at…]preigu[dot]de | Anbieter: preigu.
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Librería: Biblios, frankfurt am main, HESSE, AlemaniaBiblios
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, AlemaniaBuchWeltWeit Ludwig Meier e.K.
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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Security and surveillance are the two important aspects of human being in day to day life. In this project, it has been proposed that face detection and recognition system will capable of processing images very fast at 15 or 20 fram…es/sec with 544 x 288, 640 x 480 or any resolution from C270HD Logitech webcam, while acquiring maximum true detection rate and very low false positive rate. In our implementation system, we followed three aspects which are important. First one is Viola and Jones algorithm for face detection, second is principal component analysis algorithm for facial feature extraction purpose and last is data base created by us. We have taken total of 80 images in database with pixel size (resolution) of 182 x 182. Total of 8 subjects each having 10 images with different aspects like illumination, head angles, obstacles etc. Euclidean distance measurement technique is used for excellent matching between input image and database image. Minimum is the distance maximum is the matching. System has overall classification accuracy of 87.5% with false acceptance of 91.6667% and false rejection of 87.5%. 52 pp. Englisch.
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Librería: moluna, Greven, Alemaniamoluna
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Security and surveillance are the two important aspects of human being in day to day life. In this project, it has been proposed that face detection and recognition system will capable of processing images very fast a…t 15 or 20 frames/sec with 544 x 288, 64.
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Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemaniabuchversandmimpf2000
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Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Security and surveillance are the two important aspects of human being in day to day life. In this project, it has been proposed that face detection and recognition system will capable of processing images very fast at 15 or 20 frames/s…ec with 544 x 288, 640 x 480 or any resolution from C270HD Logitech webcam, while acquiring maximum true detection rate and very low false positive rate. In our implementation system, we followed three aspects which are important. First one is Viola and Jones algorithm for face detection, second is principal component analysis algorithm for facial feature extraction purpose and last is data base created by us. We have taken total of 80 images in database with pixel size (resolution) of 182 x 182. Total of 8 subjects each having 10 images with different aspects like illumination, head angles, obstacles etc. Euclidean distance measurement technique is used for excellent matching between input image and database image. Minimum is the distance maximum is the matching. System has overall classification accuracy of 87.5% with false acceptance of 91.6667% and false rejection of 87.5%.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 52 pp. Englisch.
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Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH
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EUR 44,59
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Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Security and surveillance are the two important aspects of human being in day to day life. In this project, it has been proposed that face detection and recognition system will capable of processing images very fast at 15 or 20 frames/se…c with 544 x 288, 640 x 480 or any resolution from C270HD Logitech webcam, while acquiring maximum true detection rate and very low false positive rate. In our implementation system, we followed three aspects which are important. First one is Viola and Jones algorithm for face detection, second is principal component analysis algorithm for facial feature extraction purpose and last is data base created by us. We have taken total of 80 images in database with pixel size (resolution) of 182 x 182. Total of 8 subjects each having 10 images with different aspects like illumination, head angles, obstacles etc. Euclidean distance measurement technique is used for excellent matching between input image and database image. Minimum is the distance maximum is the matching. System has overall classification accuracy of 87.5% with false acceptance of 91.6667% and false rejection of 87.5%.
