Abstract
Traditional methods for 2D-3D feature based pose estimation problem require two inputs, and they can not work well due to lack of correspondences of input images. In order to solve the pose estimation problem more effectively and rapidly, this paper proposed a 6-point template which overcomes the shortcomings of traditional approaches, and use particle swarm optimization to find the optimal solutions. Experiments demonstrate that the proposed method is effective, anti-noising, and rapid.
Original language | English |
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Title of host publication | 2nd International Symposium on Information Science and Engineering, ISISE 2009 |
Publisher | IEEE Computer Society |
Pages | 388-391 |
Number of pages | 4 |
ISBN (Print) | 9780769539911 |
DOIs | |
Publication status | Published - 2009 |
Externally published | Yes |
Event | 2009 2nd International Symposium on Information Science and Engineering, ISISE 2009 - Shanghai, China Duration: 26 Dec 2009 → 28 Dec 2009 |
Publication series
Name | 2nd International Symposium on Information Science and Engineering, ISISE 2009 |
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Conference
Conference | 2009 2nd International Symposium on Information Science and Engineering, ISISE 2009 |
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Country/Territory | China |
City | Shanghai |
Period | 26/12/09 → 28/12/09 |
Keywords
- 6-point template
- Face orientation estimation
- Particle swarm optimization
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Zhang, Y., Wu, L., Dong, Z., Wang, S., & Zhou, Z. (2009). Face orientation estimation by particle swarm optimization. In 2nd International Symposium on Information Science and Engineering, ISISE 2009 (pp. 388-391). Article 5447243 (2nd International Symposium on Information Science and Engineering, ISISE 2009). IEEE Computer Society. https://doi.org/10.1109/ISISE.2009.10