Empirical remarks on output coding methods for face recognition

Jaepil Ko, Hyeran Byun

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

Abstract

Since facial images are affected by various factors, the representation capacity for face database is limited by the prototypes collected for training. Therefore, to extend the capacity covering variations of facial images, we should adopt a complex classifier. It is desirable to use output coding method by considering the number of classes changes. We propose new output coding methods and then compare them with representative conventional output coding methods to investigate the properties of decomposition schemes through the experiment on the ORL face dataset. Finally, we give discussions on some factors that should be considered in the designing of decomposition scheme, to provide some foundation for designing new output coding methods in face recognition.

Original languageEnglish
Title of host publicationProceedings - Sixth IEEE International Conference on Automatic Face and Gesture Recognition FGR 2004
Pages333-338
Number of pages6
Publication statusPublished - 2004 Sep 24
EventProceedings - Sixth IEEE International Conference on Automatic Face and Gesture Recognition FGR 2004 - Seoul, Korea, Republic of
Duration: 2004 May 172004 May 19

Publication series

NameProceedings - Sixth IEEE International Conference on Automatic Face and Gesture Recognition

Other

OtherProceedings - Sixth IEEE International Conference on Automatic Face and Gesture Recognition FGR 2004
CountryKorea, Republic of
CitySeoul
Period04/5/1704/5/19

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All Science Journal Classification (ASJC) codes

  • Engineering(all)

Cite this

Ko, J., & Byun, H. (2004). Empirical remarks on output coding methods for face recognition. In Proceedings - Sixth IEEE International Conference on Automatic Face and Gesture Recognition FGR 2004 (pp. 333-338). (Proceedings - Sixth IEEE International Conference on Automatic Face and Gesture Recognition).