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

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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.
Number of pages5
ISBN (Electronic)0780376900
Publication statusPublished - 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


ConferenceAsia-Pacific Conference on Circuits and Systems, APCCAS 2002
CityDenpasar, Bali


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


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