Pose estimation system of 3-D human face using nearest feature line in its eigenspace representation

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

1 Citation (Scopus)

Abstract

In this paper, a pose estimation system is developed using a minimum distance calculation of projected unknown viewpoint of a spatial image into its eigenspace representation to the nearest line of the two known viewpoints in the same eigenspace representation. In order to have a higher recognition rate on determining the pose position of the unknown image, we developed FullyK-LT and SubsetK-LT methods. The developed system is performed to determine the pose position of 2-D images taken from the human model by gradually changing visual points, which is done by successively varying the camera position from -90 to +90 with an interval of 15 degree. The experimental results shown that the highest recognition rate of the system is about 57.5% when using FullyK-LT method, and could be increased up to 93.8% when using SubsetK-LT method.

Original languageEnglish
Title of host publicationProceedings - APCCAS 2002
Subtitle of host publicationAsia-Pacific Conference on Circuits and Systems
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages241-245
Number of pages5
ISBN (Electronic)0780376900
DOIs
Publication statusPublished - 1 Jan 2002
EventAsia-Pacific Conference on Circuits and Systems, APCCAS 2002 - Denpasar, Bali, Indonesia
Duration: 28 Oct 200231 Oct 2002

Publication series

NameIEEE Asia-Pacific Conference on Circuits and Systems, Proceedings, APCCAS
Volume2

Conference

ConferenceAsia-Pacific Conference on Circuits and Systems, APCCAS 2002
CountryIndonesia
CityDenpasar, Bali
Period28/10/0231/10/02

Keywords

  • Cameras
  • Computer science
  • Face detection
  • Face recognition
  • Humans
  • Image databases
  • Image recognition
  • Machine vision
  • Principal component analysis
  • Spatial databases

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  • Cite this

    Sripomo, R., & Putro, B. K. (2002). Pose estimation system of 3-D human face using nearest feature line in its eigenspace representation. In Proceedings - APCCAS 2002: Asia-Pacific Conference on Circuits and Systems (pp. 241-245). [1115210] (IEEE Asia-Pacific Conference on Circuits and Systems, Proceedings, APCCAS; Vol. 2). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/APCCAS.2002.1115210