Encyclopedia of Biometrics

2009 Edition
| Editors: Stan Z. Li, Anil Jain

Face Misalignment Problem

  • Shiguang Shan
  • Xilin Chen
  • Wen Gao
Reference work entry
DOI: https://doi.org/10.1007/978-0-387-73003-5_376

Synonyms

Definition

The face misalignment problem, or curse of misalignment, means abrupt degradation of recognition performance due to possible inaccuracy in automatic localization of  facial landmarks (such as the  eye centers) in the face recognition process. Because these landmarks are generally used for aligning faces, inaccurate landmark positions imply incorrect semantic alignment between the faces or features, which can further result in matching or classification errors. Since perfect alignment is often very difficult, face recognition should be misalignment-robust, i.e., it should work well even if the landmarks are inaccurately located. To achieve this, there are three possible solutions: misalignment-invariant features, misalignment modeling, and alignment retuning.

Introduction

In face recognition, before extracting features from a face image, it must be aligned properly with either the reference faces...
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References

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Copyright information

© Springer Science+Business Media, LLC 2009

Authors and Affiliations

  • Shiguang Shan
    • 1
  • Xilin Chen
    • 1
  • Wen Gao
    • 1
    • 2
  1. 1.Institute of Computing TechnologyChinese Academy of SciencesBeijingPeoples Republic of China
  2. 2.Peking UniversityBeijingPeoples Republic of China