Výsledky vyhledávání - "Chris Zeinstra"

Sub-byte quantization of Mobile Face Recognition Convolutional Neural Networks

Autor: Sebastian Bunda, Luuk Spreeuwers, Chris Zeinstra

Publikováno v: 2022 International Conference of the Biometrics Special Interest Group (BIOSIG), 1-5
STARTPAGE=1;ENDPAGE=5;TITLE=2022 International Conference of the Biometrics Special Interest Group (BIOSIG)

Converting convolutional neural networks such as MobileNets to a full integer representation is already quite a popular method to reduce the size and computational footprint of classification networks but its effect on face recognition networks is re

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ebbbd2d1ce20cf8ffb634604f599298d
https://research.utwente.nl/en/publications/e1bbc702-3972-434f-8633-c43fa372bccd

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Bloom Filter vs Homomorphic Encryption: Which approach protects the biometric data and satisfies ISO/IEC 24745?

Autor: Amina Bassit, Chris Zeinstra, Florian Hahn, Andreas Peter, Raymond N.J. Veldhuis

Publikováno v: BIOSIG 2021-Proceedings of the 20th International Conference of the Biometrics Special Interest Group: 15.-17. September 2021 International Digital Conference
BIOSIG 2021-Proceedings of the 20th International Conference of the Biometrics Special Interest Group
BIOSIG
2021 International Conference of the Biometrics Special Interest Group (BIOSIG)

Bloom filter (BF) and homomorphic encryption (HE) are popular modern techniques used to design biometric template protection (BTP) schemes that aim to protect the sensitive biometric information during storage and the comparison process. However, in

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::725e65d5910916f5c721547d3e33b03b
https://research.utwente.nl/en/publications/bfc550fa-7141-427c-91c0-b9f79e19eae1

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Grid-Based Likelihood Ratio Classifiers for the Comparison of Facial Marks

Autor: Raymond N.J. Veldhuis, Chris Zeinstra, Luuk Spreeuwers

Publikováno v: IEEE transactions on information forensics and security, 13(1):8017453, 253-264. IEEE

Facial marks have been studied before, either as a complement to face recognition systems or for their suitability as a single biometric modality. In this paper, we use a subset of the FRGCv2 data set (12307 images and 568 subjects) to study the prop

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::83965722857b7a74924e78a33a01d509
https://doi.org/10.1109/tifs.2017.2746013

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Mind the Gap: A Practical Framework for Classifiers in a Forensic Context

Autor: Chris Zeinstra, Didier Meuwly, Luuk Spreeuwers, Raymond N.J. Veldhuis

Publikováno v: BTAS
2018 IEEE 9th International Conference on Biometrics Theory, Applications and Systems, BTAS 2018

In this paper, we present a practical framework that addresses six, mostly forensic, aspects that can be considered during the design and evaluation of biometric classifiers for the purpose of forensic evidence evaluation. Forensic evidence evaluatio

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b47c93ffa6ecef20fb8e243399cade91
https://doi.org/10.1109/btas.2018.8698583

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Forensic Face Recognition: From characteristic descriptors to strength of evidence

Autor: Chris Zeinstra

Forensic Face Recognition (FFR) is the use of biometric face recognition for several appli- cations in forensic science. Biometric face recognition uses the face modality as a means to discriminate between human beings; forensic science is the applic

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::242e807adbb09ab364ac7892e731f4e4
https://research.utwente.nl/en/publications/forensic-face-recognition(f17897da-47e6-44e4-9e39-82dc3f9d25d4).html

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ForenFace: A unique annotated forensic facial image dataset and toolset

Autor: Luuk Spreeuwers, Chris Zeinstra, Didier Meuwly, Raymond N.J. Veldhuis, Arnout C.C. Ruifrok

Publikováno v: IET biometrics, 6(6), 487-494. The Institution of Engineering and Technology

Few facial image datasets are suitable for forensic research. In this study, the authors present ForenFace, a facial image and video dataset. It contains video sequences and extracted images of 97 subjects recorded with six different surveillance cam

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a6bc90837ac16b5eb5f0b0b131c30761
https://research.utwente.nl/en/publications/24792eab-93cb-4522-85c0-8f8829e754bd

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Manually annotated characteristic descriptors

Autor: Arnout C.C. Ruifrok, Raymond N.J. Veldhuis, Chris Zeinstra, Luuk Spreeuwers

Publikováno v: 2017 5th International Workshop on Biometrics and Forensics (IWBF 2017)
IWBF

In this paper we study the measurability and variability of manually annotated characteristic descriptors on a forensic relevant face dataset. Characteristic descriptors are facial features (landmarks, shapes, etc.) that can be used during forensic c

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1f52c8b0c99e8aea96bfde9aa1233151
http://www.scopus.com/inward/record.url?scp=85021801338&partnerID=8YFLogxK

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Discriminating Power of FISWG Characteristic Descriptors Under Different Forensic Use Cases

Autor: Chris Zeinstra, Luuk Spreeuwers, Raymond N.J. Veldhuis

Publikováno v: ISSUE=15;TITLE=15th International Conference of the Biometrics Special Interest Group, BIOSIG 2016
BIOSIG

FISWG characteristic descriptors are facial features that can be used for evidence evaluation during forensic case work. In this paper we investigate the discriminating power of a biometric system that uses these characteristic descriptors as feature

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6621b4cc82f36bdec649f6f47880ce7d
https://research.utwente.nl/en/publications/30a6af02-0750-44a3-9d9d-04ea39c60f8c

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Beyond the eye of the beholder: On a forensic descriptor of the eye region

Autor: Chris Zeinstra, Luuk Spreeuwers, Raymond N.J. Veldhuis

Publikováno v: EUSIPCO

The task of forensic facial experts is to assess the likelihood whether a suspect is depicted on crime scene images. They typically (a) use morphological analysis when comparing parts of the facial region, and (b) combine this partial evidence into a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::8569a69d6af1ea97c5211a4d2b5646b1
https://doi.org/10.1109/eusipco.2015.7362488

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Examining the examiners: an online eyebrow verification experiment inspired by FISWG

Autor: Luuk Spreeuwers, Raymond N.J. Veldhuis, Chris Zeinstra

Publikováno v: IWBF
International Workshop on Biometrics and Forensics, IWBF 2015, 1-6
STARTPAGE=1;ENDPAGE=6;TITLE=International Workshop on Biometrics and Forensics, IWBF 2015

In forensic face comparison, one of the features taken into account are the eyebrows. In this paper, we investigate human performance on an eyebrow verification task. This task is executed twice by participants: a "best-effort" approach and an approa

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7d4f89d46af265c61ca866c735f8d309
https://doi.org/10.1109/iwbf.2015.7110222

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