3D head pose-normalization using 2D and 3D interaction

Joongrock Kim, Sunjin Yu, Sang Youn Lee

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

Abstract

Pose-variation factors present a significant problem in 2D face recognition. To solve this problem, there are various approaches for a 3D face acquisition system which was able to generate multi-view images. However, this created another pose estimation problem in terms of normalizing the 3D face data. This paper presents a 3D head pose-normalization method using 2D and 3D interaction. The proposed method uses 2D information with the AAM(Active Appearance Model) and 3D information with a 3D normal vector. In order to verify the performance of the proposed method, we designed an experiment using DP(Dynamic Programming). Experimental results showed that the proposed method is robust against pose variation.

Original languageEnglish
Title of host publicationICCAS 2007 - International Conference on Control, Automation and Systems
Pages2242-2245
Number of pages4
DOIs
Publication statusPublished - 2007 Dec 1
EventInternational Conference on Control, Automation and Systems, ICCAS 2007 - Seoul, Korea, Republic of
Duration: 2007 Oct 172007 Oct 20

Other

OtherInternational Conference on Control, Automation and Systems, ICCAS 2007
CountryKorea, Republic of
CitySeoul
Period07/10/1707/10/20

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All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

Cite this

Kim, J., Yu, S., & Lee, S. Y. (2007). 3D head pose-normalization using 2D and 3D interaction. In ICCAS 2007 - International Conference on Control, Automation and Systems (pp. 2242-2245). [4406736] https://doi.org/10.1109/ICCAS.2007.4406736