Book Description Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -For the last ten years, face biometric research has been intensively studied by the computer vision community. Face recognition systems have been used in mobile, banking, and surveillance systems. For face recognition systems, face spoofing attack detection is a crucial stage that could cause severe security issues in government sectors. Although effective methods for face presentation attack detection have been proposed so far, the problem is still unsolved due to the difficulty in the design of features and methods that can work for new spoofing attacks. In addition, existing datasets for studying the problem are relatively small which hinders the progress in this relevant domain.In order to attract researchers to this important field and push the boundaries of the state of the art on face anti-spoofing detection, we organized the Face Spoofing Attack Workshop and Competition at CVPR 2019, an event part of the ChaLearn Looking at People Series. As part of this event, we released the largest multi-modal face anti-spoofing dataset so far, the CASIA-SURF benchmark. The workshop reunited many researchers from around the world and the challenge attracted more than 300 teams. Some of the novel methodologies proposed in the context of the challenge achieved state-of-the-art performance. In this manuscript, we provide a comprehensive review on face anti-spoofing techniques presented in this joint event and point out directions for future research on the face anti-spoofing field. 92 pp. Englisch. Seller Inventory # 9783031006968

More information about this seller | Contact seller

Buy New

� 30.92

Convert currency

Add to Basket

Shipping: � 19.56

From Germany to U.S.A.

Destination, rates & speeds

Stock Image

Multi-modal Face Presentation Attack Det

Wan, Jun

Published by Springer (2020)

ISBN 10: 3031006968 ISBN 13: 9783031006968

New Softcover Quantity: 15

Seller:

Kennys Bookshop and Art Galleries Ltd.
(Galway, GY, Ireland)

Rating

Seller Rating:

Book Description Condition: New. Seller Inventory # V9783031006968

More information about this seller | Contact seller

Buy New

� 45.04

Convert currency

Add to Basket

Shipping: � 8.93

From Ireland to U.S.A.

Destination, rates & speeds

Seller Image

Multi-modal Face Presentation Attack Detection

Wan, Jun; Guo, Guodong; Escalera, Sergio; Escalante, Hugo Jair; Li, Stan Z.

Published by Springer (2020)

ISBN 10: 3031006968 ISBN 13: 9783031006968

New Softcover Quantity: 5

Seller:

GreatBookPricesUK
(Castle Donington, DERBY, United Kingdom)

Rating

Seller Rating:

Book Description Condition: New. Seller Inventory # 44570999-n

More information about this seller | Contact seller

Buy New

� 40.33

Convert currency

Add to Basket

Shipping: � 15

From United Kingdom to U.S.A.

Destination, rates & speeds

Seller Image

Multi-Modal Face Presentation Attack Detection

Jun Wan

Published by Springer International Publishing (2020)

ISBN 10: 3031006968 ISBN 13: 9783031006968

New Taschenbuch Quantity: 1

Seller:

AHA-BUCH GmbH
(Einbeck, Germany)

Rating

Seller Rating:

Book Description Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - For the last ten years, face biometric research has been intensively studied by the computer vision community. Face recognition systems have been used in mobile, banking, and surveillance systems. For face recognition systems, face spoofing attack detection is a crucial stage that could cause severe security issues in government sectors. Although effective methods for face presentation attack detection have been proposed so far, the problem is still unsolved due to the difficulty in the design of features and methods that can work for new spoofing attacks. In addition, existing datasets for studying the problem are relatively small which hinders the progress in this relevant domain.In order to attract researchers to this important field and push the boundaries of the state of the art on face anti-spoofing detection, we organized the Face Spoofing Attack Workshop and Competition at CVPR 2019, an event part of the ChaLearn Looking at People Series. As part of this event, we released the largest multi-modal face anti-spoofing dataset so far, the CASIA-SURF benchmark. The workshop reunited many researchers from around the world and the challenge attracted more than 300 teams. Some of the novel methodologies proposed in the context of the challenge achieved state-of-the-art performance. In this manuscript, we provide a comprehensive review on face anti-spoofing techniques presented in this joint event and point out directions for future research on the face anti-spoofing field. Seller Inventory # 9783031006968

More information about this seller | Contact seller

Buy New

� 33.68

Convert currency

Add to Basket

Shipping: � 28.06

From Germany to U.S.A.

Destination, rates & speeds

Stock Image