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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Woo Won Kim Sangheon Park Jinkyu Hwang Sangyoun Lee |
| Copyright Year | 2011 |
| Description | Author affiliation: School of Electrical & Electronic Engineering, Yonsei University, Seoul, South Korea 120-749 (Sangheon Park; Jinkyu Hwang; Sangyoun Lee) || Biometrics Department, Yonsei University, Seoul, South Korea 120-749 (Woo Won Kim) |
| Abstract | Estimation of human head position and orientation has become an increasingly important issue in human-computer interaction field. Over the last decade, many approaches have been introduced to achieve head pose estimation in both academical and industrial fields, but the low-cost and real-time application still proves to be a difficult task. Motivated by the past researches, we propose an automatic and monocular head pose estimation system. We applied a number of improvements to a direct linear transformation algorithm called Pose from Orthography and Scaling with ITerations (POSIT) and applied it for the head pose estimation. User's virtual head model is also recovered by analyzing laser scan database and corrected by the head pose. The entire process is completely automatic with no need for users to pre-register for identification or initialize their head position. Experiments on a public dataset show realtime performance with lower errors than previous head pose estimation methods. |
| Starting Page | 1 |
| Ending Page | 5 |
| File Size | 1174148 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781457700293 |
| e-ISBN | 9781457700316 |
| DOI | 10.1109/ICICS.2011.6173539 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-12-13 |
| Publisher Place | Singapore |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Head Estimation Magnetic heads Computational modeling Three dimensional displays Solid modeling Vectors |
| Content Type | Text |
| Resource Type | Article |
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