Likelihood Ratio Based Mixed Resolution Facial Comparison

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

6 Citations (Scopus)
32 Downloads (Pure)

Abstract

In this paper, we propose a novel method for low-resolution face recognition. It is especially useful for a common situation in forensic search where faces of low resolution, e.g. on surveillance footage or in a crowd, must be compared to a high-resolution reference. This method is based on the likelihood ratio of a pair of mixed-resolution input images. The effectiveness of our method is tested on the SCface database which contains face images taken by surveillance cameras. The results show that our method outperforms recently published state-of-the-art.
Original languageUndefined
Title of host publicationProceedings of the 3rd International Workshop on Biometrics and Forensics, IWBF 2015
Place of PublicationUSA
PublisherIEEE Computer Society
Pages1-5
Number of pages5
ISBN (Print)978-1-4799-8105-2
DOIs
Publication statusPublished - 3 Mar 2015

Publication series

Name
PublisherIEEE Computer Society

Keywords

  • EWI-26033
  • SCS-Safety
  • mixed resolution
  • METIS-312620
  • Face Recognition
  • SCface
  • Low Resolution
  • IR-95949

Cite this

Peng, Y., Spreeuwers, L. J., & Veldhuis, R. N. J. (2015). Likelihood Ratio Based Mixed Resolution Facial Comparison. In Proceedings of the 3rd International Workshop on Biometrics and Forensics, IWBF 2015 (pp. 1-5). USA: IEEE Computer Society. https://doi.org/10.1109/IWBF.2015.7110231
Peng, Y. ; Spreeuwers, Lieuwe Jan ; Veldhuis, Raymond N.J. / Likelihood Ratio Based Mixed Resolution Facial Comparison. Proceedings of the 3rd International Workshop on Biometrics and Forensics, IWBF 2015. USA : IEEE Computer Society, 2015. pp. 1-5
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title = "Likelihood Ratio Based Mixed Resolution Facial Comparison",
abstract = "In this paper, we propose a novel method for low-resolution face recognition. It is especially useful for a common situation in forensic search where faces of low resolution, e.g. on surveillance footage or in a crowd, must be compared to a high-resolution reference. This method is based on the likelihood ratio of a pair of mixed-resolution input images. The effectiveness of our method is tested on the SCface database which contains face images taken by surveillance cameras. The results show that our method outperforms recently published state-of-the-art.",
keywords = "EWI-26033, SCS-Safety, mixed resolution, METIS-312620, Face Recognition, SCface, Low Resolution, IR-95949",
author = "Y. Peng and Spreeuwers, {Lieuwe Jan} and Veldhuis, {Raymond N.J.}",
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}

Peng, Y, Spreeuwers, LJ & Veldhuis, RNJ 2015, Likelihood Ratio Based Mixed Resolution Facial Comparison. in Proceedings of the 3rd International Workshop on Biometrics and Forensics, IWBF 2015. IEEE Computer Society, USA, pp. 1-5. https://doi.org/10.1109/IWBF.2015.7110231

Likelihood Ratio Based Mixed Resolution Facial Comparison. / Peng, Y.; Spreeuwers, Lieuwe Jan; Veldhuis, Raymond N.J.

Proceedings of the 3rd International Workshop on Biometrics and Forensics, IWBF 2015. USA : IEEE Computer Society, 2015. p. 1-5.

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

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T1 - Likelihood Ratio Based Mixed Resolution Facial Comparison

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N2 - In this paper, we propose a novel method for low-resolution face recognition. It is especially useful for a common situation in forensic search where faces of low resolution, e.g. on surveillance footage or in a crowd, must be compared to a high-resolution reference. This method is based on the likelihood ratio of a pair of mixed-resolution input images. The effectiveness of our method is tested on the SCface database which contains face images taken by surveillance cameras. The results show that our method outperforms recently published state-of-the-art.

AB - In this paper, we propose a novel method for low-resolution face recognition. It is especially useful for a common situation in forensic search where faces of low resolution, e.g. on surveillance footage or in a crowd, must be compared to a high-resolution reference. This method is based on the likelihood ratio of a pair of mixed-resolution input images. The effectiveness of our method is tested on the SCface database which contains face images taken by surveillance cameras. The results show that our method outperforms recently published state-of-the-art.

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KW - SCS-Safety

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KW - METIS-312620

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KW - IR-95949

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DO - 10.1109/IWBF.2015.7110231

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BT - Proceedings of the 3rd International Workshop on Biometrics and Forensics, IWBF 2015

PB - IEEE Computer Society

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Peng Y, Spreeuwers LJ, Veldhuis RNJ. Likelihood Ratio Based Mixed Resolution Facial Comparison. In Proceedings of the 3rd International Workshop on Biometrics and Forensics, IWBF 2015. USA: IEEE Computer Society. 2015. p. 1-5 https://doi.org/10.1109/IWBF.2015.7110231