Demo: robust face recognition via sparse representation

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

29 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 languageEnglish (US)
Title of host publication2008 8th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2008
DOIs
StatePublished - 2008
Event2008 8th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2008 - Amsterdam, Netherlands
Duration: Sep 17 2008Sep 19 2008

Publication series

Name2008 8th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2008

Conference

Conference2008 8th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2008
CountryNetherlands
CityAmsterdam
Period9/17/089/19/08

All Science Journal Classification (ASJC) codes

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

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