Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2024
ISBN 10: 6207652487 ISBN 13: 9786207652488
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Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2024
ISBN 10: 6207652487 ISBN 13: 9786207652488
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Editore: LAP LAMBERT Academic Publishing, 2024
ISBN 10: 6207652487 ISBN 13: 9786207652488
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. METAMORPH FACE MAKER USING ARTIFICIAL INTELLIGENCE | M. Aravind Kumar (u. a.) | Taschenbuch | Englisch | 2024 | LAP LAMBERT Academic Publishing | EAN 9786207652488 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu.
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ISBN 10: 6207652487 ISBN 13: 9786207652488
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Aggiungi al carrelloPAP. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Aggiungi al carrelloPAP. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing Jun 2024, 2024
ISBN 10: 6207652487 ISBN 13: 9786207652488
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 72 pp. Englisch.
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Editore: LAP LAMBERT Academic Publishing, 2024
ISBN 10: 6207652487 ISBN 13: 9786207652488
Da: Majestic Books, Hounslow, Regno Unito
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Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing Jun 2024, 2024
ISBN 10: 6207652487 ISBN 13: 9786207652488
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Face morphing attack is proved to be a serious threat to the existing face recognition systems. Although a few face morphing detection methods have been put forward, the face morphing accomplice's facial restoration remains a challenging problem. In this paper, a face de- morphing generative adversarial network (FD-GAN) is proposed to restore the accomplice's facial image. It utilizes a symmetric dual network architecture and two levels of restoration losses to separate the identity feature of the morphing accomplice. By exploiting the captured facial image (containing the criminal's identity) from the face recognition system and the morphed image stored in the e-passport system (containing both criminal and accomplice's identities), the FD-GAN can effectively restore the accomplice's facial image. Experimental results and analysis demonstrate the effectiveness of the proposed scheme. It has great potential to be applied for tracing the identity of face morphing attack's accomplice in criminal investigation and judicial forensics.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 72 pp. Englisch.
Lingua: Inglese
Editore: LAP LAMBERT Academic Publishing, 2024
ISBN 10: 6207652487 ISBN 13: 9786207652488
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 44,59
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Face morphing attack is proved to be a serious threat to the existing face recognition systems. Although a few face morphing detection methods have been put forward, the face morphing accomplice's facial restoration remains a challenging problem. In this paper, a face de- morphing generative adversarial network (FD-GAN) is proposed to restore the accomplice's facial image. It utilizes a symmetric dual network architecture and two levels of restoration losses to separate the identity feature of the morphing accomplice. By exploiting the captured facial image (containing the criminal's identity) from the face recognition system and the morphed image stored in the e-passport system (containing both criminal and accomplice's identities), the FD-GAN can effectively restore the accomplice's facial image. Experimental results and analysis demonstrate the effectiveness of the proposed scheme. It has great potential to be applied for tracing the identity of face morphing attack's accomplice in criminal investigation and judicial forensics.