Face detection using multi-modal features

Hyobin Lee, Seongwan Kim, Sooyeon Kim, Sangyoun Lee

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

4 Citations (Scopus)

Abstract

In this paper, propose efficient methods for reducing false detection rate in face detection procedure when images apply face recognition and face entertainment from web or personal photo. Previous detection methods focused on accurate face detection. So, false detection rate makes a problem when put to practical use. This problem can overcome to use additional information when face detection. Proper information is color. But real color - RGB information is not adequate for face detection. Because RGB information is sensitive to light variations. Thus need to transfer coordination properly to use. Transferred channels are defined with genetic algorithm. After that make a model of facial skin color to score face candidate is real face or not. Propose method can dramatic reduce false detection rate when face detection procedure.

Original languageEnglish
Title of host publication2008 International Conference on Control, Automation and Systems, ICCAS 2008
Pages2152-2155
Number of pages4
DOIs
Publication statusPublished - 2008 Dec 1
Event2008 International Conference on Control, Automation and Systems, ICCAS 2008 - Seoul, Korea, Republic of
Duration: 2008 Oct 142008 Oct 17

Publication series

Name2008 International Conference on Control, Automation and Systems, ICCAS 2008

Other

Other2008 International Conference on Control, Automation and Systems, ICCAS 2008
CountryKorea, Republic of
CitySeoul
Period08/10/1408/10/17

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering

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    Lee, H., Kim, S., Kim, S., & Lee, S. (2008). Face detection using multi-modal features. In 2008 International Conference on Control, Automation and Systems, ICCAS 2008 (pp. 2152-2155). [4694454] (2008 International Conference on Control, Automation and Systems, ICCAS 2008). https://doi.org/10.1109/ICCAS.2008.4694454