research-article

Face recognition with DAISY descriptors

Authors:

Carmelo Velardo,

Jean-Luc DugelayAuthors Info & Claims

MM&Sec '10: Proceedings of the 12th ACM workshop on Multimedia and security

Pages 95 - 100

https://doi.org/10.1145/1854229.1854249

Published: 09 September 2010 Publication History

Abstract

In this paper we propose a new face recognition approach based on DAISY, a dense computed SIFT-like descriptor. Our algorithm is designed to be fast for dense computation, and useful for re-identification as it is able to distinguish pairs of images as belonging to the same subject or not. The descriptors are computed densely and matched with a new strategy that represents an efficient trade off between accuracy and computational load; afterwards a Support Vector Machine is used to classify the output of the matching to recognize if the pair of images belongs to the same person. An analysis of performance will be conducted on two different databases in order to compare our results with the already existing ones. We show that better performance than SIFT techniques can be achieved using our algorithm.

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Cited By

Lin DYuan CChen Z(2021)Influencing Factors on the Adoption of Face Recognition Technology on Campus Based on SEM2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)10.1109/IEEM50564.2021.9673015(367-371)Online publication date: 13-Dec-2021
https://doi.org/10.1109/IEEM50564.2021.9673015
Hsu CLu CPei S(2019)Image Feature Extraction in Encrypted Domain With Privacy-Preserving SIFTIEEE Transactions on Image Processing10.1109/TIP.2012.220427221:11(4593-4607)Online publication date: 1-Jan-2019
https://dl.acm.org/doi/10.1109/TIP.2012.2204272
Pérez-Zavala RTorres-Torriti MCheein FTroni G(2018)A pattern recognition strategy for visual grape bunch detection in vineyardsComputers and Electronics in Agriculture10.1016/j.compag.2018.05.019151(136-149)Online publication date: Aug-2018
https://doi.org/10.1016/j.compag.2018.05.019
Show More Cited By

Index Terms

Face recognition with DAISY descriptors
1. Computing methodologies
  1. Machine learning

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Information & Contributors

Information

Published In

cover image ACM Conferences

MM&Sec '10: Proceedings of the 12th ACM workshop on Multimedia and security

September 2010

264 pages

ISBN:9781450302869

DOI:10.1145/1854229

General Chair:
Patrizio Campisi
Università degli Studi Roma TRE, Rome, Italy
,
Program Chairs:
Jana Dittmann
Otto-von-Guericke University Magdeburg, Germany
,
Scott Craver
SUNY Binghamton, USA

Copyright © 2010 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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SIGMM: ACM Special Interest Group on Multimedia

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 09 September 2010

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MM&Sec '10

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SIGMM

MM&Sec '10: Multimedia and Security Workshop

September 9 - 10, 2010

Roma, Italy

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Overall Acceptance Rate 128 of 318 submissions, 40%

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Cited By

Lin DYuan CChen Z(2021)Influencing Factors on the Adoption of Face Recognition Technology on Campus Based on SEM2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)10.1109/IEEM50564.2021.9673015(367-371)Online publication date: 13-Dec-2021
https://doi.org/10.1109/IEEM50564.2021.9673015
Hsu CLu CPei S(2019)Image Feature Extraction in Encrypted Domain With Privacy-Preserving SIFTIEEE Transactions on Image Processing10.1109/TIP.2012.220427221:11(4593-4607)Online publication date: 1-Jan-2019
https://dl.acm.org/doi/10.1109/TIP.2012.2204272
Pérez-Zavala RTorres-Torriti MCheein FTroni G(2018)A pattern recognition strategy for visual grape bunch detection in vineyardsComputers and Electronics in Agriculture10.1016/j.compag.2018.05.019151(136-149)Online publication date: Aug-2018
https://doi.org/10.1016/j.compag.2018.05.019
Gheorghe ILi WPopham TBurnham K(2015)Superpixel based semantic segmentation for assistance in varying terrain driving conditionsProgress in Systems Engineering10.1007/978-3-319-08422-0_98(691-698)Online publication date: 2015
https://doi.org/10.1007/978-3-319-08422-0_98
Mishra RKumar PChaudhury SIndu S (2013)Monitoring a large surveillance space through distributed face matching2013 Fourth National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG)10.1109/NCVPRIPG.2013.6776185(1-5)Online publication date: Dec-2013
https://doi.org/10.1109/NCVPRIPG.2013.6776185
Cutillo LMolva RÖnen MYoneki EFrey DBrown I(2012)Privacy preserving picture sharingProceedings of the Fifth Workshop on Social Network Systems10.1145/2181176.2181182(1-6)Online publication date: 10-Apr-2012
https://dl.acm.org/doi/10.1145/2181176.2181182
Guo GWang X(2012)Kinship Measurement on Salient Facial FeaturesIEEE Transactions on Instrumentation and Measurement10.1109/TIM.2012.218746861:8(2322-2325)Online publication date: Aug-2012
https://doi.org/10.1109/TIM.2012.2187468
Shekar BHarivinod NKumari MHolla K(2011)3D Face recognition using significant point based SULD descriptor2011 International Conference on Recent Trends in Information Technology (ICRTIT)10.1109/ICRTIT.2011.5972443(981-986)Online publication date: Jun-2011
https://doi.org/10.1109/ICRTIT.2011.5972443
Shekar BHarivinod NKumari M(2011)3D Face Recognition Using Orientation MapsAdvances in Computing and Communications10.1007/978-3-642-22720-2_41(396-405)Online publication date: 2011
https://doi.org/10.1007/978-3-642-22720-2_41

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