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 language | English |
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Title of host publication | Proceedings of the Joint Conference on Information Sciences |
Editors | 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 |
Pages | 287-290 |
Number of pages | 4 |
Volume | 4 |
Publication status | Published - 1998 |
Event | 4th 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 23 → 1998 Oct 28 |
Other
Other | 4th 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 |
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Country/Territory | United States |
City | Research Triangle Park, NC |
Period | 98/10/23 → 98/10/28 |
ASJC Scopus subject areas
- Computer Science(all)