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Face Recognition by Humans and Machines

  • Alice J. O’Toole

Abstract

By the standards of automated face recognition systems, human performance is notable in its ability to operate robustly across changes in illumination, pose, and expression. This chapter presents a comparative examination of face recognition by humans and machines. The first part contains an overview of the basic characteristics of human face representations, with emphasis both on the strengths and weaknesses of this code. The second part of the chapter, considers recent comparisons between humans and automated face recognition algorithms. These include benchmarking the performance of algorithms against humans, the fusion of human and machine judgments of identity, and the robustness of algorithms operating in ethnically diverse environments. The evaluation of machine performance in the context of human skills can give insight into the challenges of face recognition in uncontrolled environments and into the strategies humans have evolved to overcome these challenges.

Keywords

Face Recognition Human Face Average Face Face Recognition System Face Pair 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Acknowledgements

This work was supported by funding to A.J. O’Toole from the Technical Support Working Group of the Department of Defense, USA.

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Copyright information

© Springer-Verlag London Limited 2011

Authors and Affiliations

  1. 1.School of Behavioral and Brain SciencesThe University of Texas at DallasRichardsonUSA

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