Order Total (1 Item Items):
Shipping Destination:
Multi Modal Face Presentation Attack by Wan Jun (20 results)
Skip to main search results
Search filters
Product Type
- All Product Types
- Books (20)
- Magazines & Periodicals (No further results match this refinement)
- Comics (No further results match this refinement)
- Sheet Music (No further results match this refinement)
- Art, Prints & Posters (No further results match this refinement)
- Photographs (No further results match this refinement)
- Maps (No further results match this refinement)
- Manuscripts & Paper Collectibles (No further results match this refinement)
Condition Learn more
- New (15)
- As New, Fine or Near Fine (3)
- Very Good or Good (2)
- Fair or Poor (No further results match this refinement)
- As Described (No further results match this refinement)
Binding
Collectible Attributes
- First Edition (No further results match this refinement)
- Signed (No further results match this refinement)
- Dust Jacket (No further results match this refinement)
- Seller-Supplied Images (9)
- Not Print on Demand (16)
Language (1)
Free Shipping
- Free Shipping to U.S.A. (No further results match this refinement)
Seller Location
Seller Rating
-
Condition: As New. Unread book in perfect condition.
-
Multi-Modal Face Presentation Attack Detection (Synthesis Lectures on Computer Vision)
Published by Morgan & Claypool Publishers, 2020
ISBN 10: 1681739224 ISBN 13: 9781681739229
Language: English
paperback. Condition: Very Good. Fast Shipping - Safe and Secure 7 days a week!
-
hardcover. Condition: Very Good. Fast Shipping - Safe and Secure 7 days a week!
-
Condition: New.
-
-
Condition: New.
-
Condition: New. 1st edition NO-PA16APR2015-KAP.
-
Multi-Modal Face Presentation Attack Detection (Synthesis Lectures on Computer Vision)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
Condition: New. In English.
-
PF. Condition: New.
-
Multi-modal Face Presentation Attack Detection
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
-
Multi-modal Face Presentation Attack Detection
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition.
-
Condition: As New. Unread book in perfect condition.
-
Multi-Modal Face Presentation Attack Detection
Published by Springer-Nature New York Inc, 2023
ISBN 10: 3031329058 ISBN 13: 9783031329050
Language: English
Hardcover. Condition: Brand New. 2nd edition. 119 pages. 9.45x6.61x0.51 inches. In Stock.
-
Multi-Modal Face Presentation Attack Detection
Published by Springer International Publishing, Springer Nature Switzerland Jul 2020, 2020
ISBN 10: 3031006968 ISBN 13: 9783031006968
Language: English
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. 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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 92 pp. Englisch.
-
Multi-Modal Face Presentation Attack Detection
Published by Springer International Publishing, 2020
ISBN 10: 3031006968 ISBN 13: 9783031006968
Language: English
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.
-
Multi-Modal Face Presentation Attack Detection
Published by Springer Nature Switzerland, 2020
ISBN 10: 3031006968 ISBN 13: 9783031006968
Language: English
Taschenbuch. Condition: Neu. Multi-Modal Face Presentation Attack Detection | Jun Wan (u. a.) | Taschenbuch | xi | Englisch | 2020 | Springer Nature Switzerland | EAN 9783031006968 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
-
Condition: New. Print on Demand.
-
Multi-Modal Face Presentation Attack Detection
Published by Springer International Publishing Jul 2020, 2020
ISBN 10: 3031006968 ISBN 13: 9783031006968
Language: English
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
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.
-
Condition: New. PRINT ON DEMAND.
-
Multi-Modal Face Presentation Attack Detection
Published by Springer, Berlin|Springer International Publishing|Morgan & Claypool|Springer, 2020
ISBN 10: 3031006968 ISBN 13: 9783031006968
Language: English
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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 detect.
