Nearest-subspace patch matching for face recognition under varying pose and illumination

Zihan Zhou, Arvind Ganesh, John Wright, Shen Fu Tsai, Yi Ma

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

14 Scopus citations

Abstract

We consider the problem of recognizing human faces despite variations in both pose and illumination, using only frontal training images. We propose a very simple algorithm, called Nearest-Subspace Patch Matching, which combines a local translational model for deformation due to pose with a linear subspace model for lighting variations. This algorithm gives surprisingly competitive performance for moderate variations in both pose and illumination, a domain that encompasses most face recognition applications, such as access control. The results also provide a baseline for justifying the use of more complicated face models or more advanced learning methods to handle more extreme situations. Extensive experiments on publicly available databases verify the efficacy of the proposed method and clarify its operating range.

Original languageEnglish (US)
Title of host publication2008 8th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2008
DOIs
StatePublished - Dec 1 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

Fingerprint Dive into the research topics of 'Nearest-subspace patch matching for face recognition under varying pose and illumination'. Together they form a unique fingerprint.

  • Cite this

    Zhou, Z., Ganesh, A., Wright, J., Tsai, S. F., & Ma, Y. (2008). Nearest-subspace patch matching for face recognition under varying pose and illumination. In 2008 8th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2008 [4813452] (2008 8th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2008). https://doi.org/10.1109/AFGR.2008.4813452