An illumination invariant skin-color model for face detection

Ukil Yang, Minsung Kang, Kar Ann Toh, Kwanghoon Sohn

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

4 Citations (Scopus)

Abstract

Face detection is an important step towards a fully automatic face recognition system. Among existing techniques in the literature, methods based on skin-color information have shown computational effectiveness as well as robustness in terms of rotation, scaling and partial occlusion. However, due to color variations resulted from illumination changes, many color-based techniques have yet to demonstrate a stable state of performance. In this paper, we present an illumination invariant color space model to address the color variation issue. The proposed method is evaluated both in terms of skin-color detection and face detection performances. Our empirical experiments evidenced both effectiveness and usefulness of the proposed method.

Original languageEnglish
Title of host publicationIEEE 4th International Conference on Biometrics
Subtitle of host publicationTheory, Applications and Systems, BTAS 2010
DOIs
Publication statusPublished - 2010
Event4th IEEE International Conference on Biometrics: Theory, Applications and Systems, BTAS 2010 - Washington, DC, United States
Duration: 2010 Sep 272010 Sep 29

Publication series

NameIEEE 4th International Conference on Biometrics: Theory, Applications and Systems, BTAS 2010

Other

Other4th IEEE International Conference on Biometrics: Theory, Applications and Systems, BTAS 2010
CountryUnited States
CityWashington, DC
Period10/9/2710/9/29

All Science Journal Classification (ASJC) codes

  • Computational Theory and Mathematics
  • Theoretical Computer Science

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    Yang, U., Kang, M., Toh, K. A., & Sohn, K. (2010). An illumination invariant skin-color model for face detection. In IEEE 4th International Conference on Biometrics: Theory, Applications and Systems, BTAS 2010 [5634474] (IEEE 4th International Conference on Biometrics: Theory, Applications and Systems, BTAS 2010). https://doi.org/10.1109/BTAS.2010.5634474