Estimation of Face Pose from an Image Using Eigen Space Method

Akihiro Watanabe, Hideo Saito, Shinji Ozawa

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

Abstract

In this paper, we propose a new model-based method for estimating face pose from a facial image. In this method, computer generated models are used for reducing the cost of collecting the images of various models. By the use of computer generated models, it is very easy to change the acquisition conditions of the model images, such as illumination and pose of the object. Additionally, the eigen space technique is employed for reducing the huge capacity of the prepared models and huge computation for matching input images with model images. We show the results of pose estimation from facial images of varying illumination for demonstrating the effectiveness of the proposed method.

Original languageEnglish
Title of host publicationProceedings of the Joint Conference on Information Sciences
EditorsK. Li, Y. Pan, P.P. Wang, A. Al-Dhelaan, H. Da Cheng, Y. Pan, P.P. Wang, K. Li, A. Al-Dhelaan, H. Da Cheng
Pages287-290
Number of pages4
Volume4
Publication statusPublished - 1998
Event4th International Conference on Computer Science and Informatics, JCIS 1998, 1st International Workshop on High Performance, 1st International Workshop on Computer Vision, Pattern Recognition and Image Processing Volume 4 - Research Triangle Park, NC, United States
Duration: 1998 Oct 231998 Oct 28

Other

Other4th International Conference on Computer Science and Informatics, JCIS 1998, 1st International Workshop on High Performance, 1st International Workshop on Computer Vision, Pattern Recognition and Image Processing Volume 4
CountryUnited States
CityResearch Triangle Park, NC
Period98/10/2398/10/28

ASJC Scopus subject areas

  • Computer Science(all)

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  • Cite this

    Watanabe, A., Saito, H., & Ozawa, S. (1998). Estimation of Face Pose from an Image Using Eigen Space Method. In K. Li, Y. Pan, P. P. Wang, A. Al-Dhelaan, H. Da Cheng, Y. Pan, P. P. Wang, K. Li, A. Al-Dhelaan, & H. Da Cheng (Eds.), Proceedings of the Joint Conference on Information Sciences (Vol. 4, pp. 287-290)