Demo: robust face recognition via sparse representation

John Wright; Arvind Ganesh; Zihan Zhou; Andrew Wagner; Yi Ma

doi:10.1109/AFGR.2008.4813404

Demo: robust face recognition via sparse representation

John Wright, Arvind Ganesh, Zihan Zhou, Andrew Wagner, Yi Ma

College of Information Sciences and Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

53 Scopus citations

Abstract

This work builds on the method of [6] to create a prototype access control system, capable of handling variations in illumination and expression, as well as significant occlusion or disguise. Our demonstration will allow participants to interact with the algorithm, gaining a betTer understanding strengths and limitations of sparse representation as a tool for robust recognition.

Original language	English (US)
Title of host publication	2008 8th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2008
DOIs	https://doi.org/10.1109/AFGR.2008.4813404
State	Published - 2008
Event	2008 8th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2008 - Amsterdam, Netherlands Duration: Sep 17 2008 → Sep 19 2008

Publication series

Name	2008 8th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2008

Conference

Conference	2008 8th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2008
Country/Territory	Netherlands
City	Amsterdam
Period	9/17/08 → 9/19/08

All Science Journal Classification (ASJC) codes

Computer Vision and Pattern Recognition
Human-Computer Interaction
Electrical and Electronic Engineering

Access to Document

10.1109/AFGR.2008.4813404

Cite this

@inproceedings{e491dfbdad6041518c8e49e92f1ed76a,

title = "Demo: robust face recognition via sparse representation",

abstract = "This work builds on the method of [6] to create a prototype access control system, capable of handling variations in illumination and expression, as well as significant occlusion or disguise. Our demonstration will allow participants to interact with the algorithm, gaining a betTer understanding strengths and limitations of sparse representation as a tool for robust recognition.",

author = "John Wright and Arvind Ganesh and Zihan Zhou and Andrew Wagner and Yi Ma",

year = "2008",

doi = "10.1109/AFGR.2008.4813404",

language = "English (US)",

isbn = "9781424421541",

series = "2008 8th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2008",

booktitle = "2008 8th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2008",

note = "2008 8th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2008 ; Conference date: 17-09-2008 Through 19-09-2008",

}

Wright, J, Ganesh, A, Zhou, Z, Wagner, A & Ma, Y 2008, Demo: robust face recognition via sparse representation. in 2008 8th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2008., 4813404, 2008 8th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2008, 2008 8th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2008, Amsterdam, Netherlands, 9/17/08. https://doi.org/10.1109/AFGR.2008.4813404

Demo: robust face recognition via sparse representation. / Wright, John; Ganesh, Arvind; Zhou, Zihan et al.
2008 8th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2008. 2008. 4813404 (2008 8th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2008).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Demo

T2 - 2008 8th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2008

AU - Wright, John

AU - Ganesh, Arvind

AU - Zhou, Zihan

AU - Wagner, Andrew

AU - Ma, Yi

PY - 2008

Y1 - 2008

N2 - This work builds on the method of [6] to create a prototype access control system, capable of handling variations in illumination and expression, as well as significant occlusion or disguise. Our demonstration will allow participants to interact with the algorithm, gaining a betTer understanding strengths and limitations of sparse representation as a tool for robust recognition.

AB - This work builds on the method of [6] to create a prototype access control system, capable of handling variations in illumination and expression, as well as significant occlusion or disguise. Our demonstration will allow participants to interact with the algorithm, gaining a betTer understanding strengths and limitations of sparse representation as a tool for robust recognition.

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U2 - 10.1109/AFGR.2008.4813404

DO - 10.1109/AFGR.2008.4813404

M3 - Conference contribution

AN - SCOPUS:67650691109

SN - 9781424421541

T3 - 2008 8th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2008

BT - 2008 8th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2008

Y2 - 17 September 2008 through 19 September 2008

ER -

Demo: robust face recognition via sparse representation

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All Science Journal Classification (ASJC) codes

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