Skip Nav Destination
ASME Press Select Proceedings
International Conference on Software Technology and Engineering (ICSTE 2012)
Editor
ISBN:
9780791860151
No. of Pages:
680
Publisher:
ASME Press
Publication date:
2012
eBook Chapter
61 Unseen View Prediction Based on Single Image
By
Page Count:
6
-
Published:2012
Citation
Hong, Z, Long, M, Ding, Y, Yuecheng, L, & Mingui, S. "Unseen View Prediction Based on Single Image." International Conference on Software Technology and Engineering (ICSTE 2012). Ed. Zhou, J. ASME Press, 2012.
Download citation file:
Although great improvements have been made in face detection, it is still challenging to get reliable prediction of face views. The chief culprit is that the appearance of a face in a 2D image can change substantially as the viewing angles changes. In this Paper, a method for unseen view prediction based on single image is proposed. To realize the prediction of the unseen views, a 2D facial curve is utilized to describe for the 3D face model, and we analyze the projection relationship between the facial curve and the imaging plane, and got an effective method of transformation. The...
Topics:
Imaging
1. Introduction
2. Methodology
3. Experimental Results
4. Conclusion
Acknowledgment
References
This content is only available via PDF.
You do not currently have access to this chapter.
Email alerts
Related Chapters
Experimental Investigation of Ventilated Supercavitation Under Unsteady Conditions
Proceedings of the 10th International Symposium on Cavitation (CAV2018)
Increasing Cavitation around Dental Ultrasonic Scalers to Improve Biofilm Removal Efficiency: A High Speed Imaging and Image Analysis Study
Proceedings of the 10th International Symposium on Cavitation (CAV2018)
Microwave Imaging Simulation of Ocean Mesoscale Eddy
International Conference on Computer Technology and Development, 3rd (ICCTD 2011)
Electromagnetic Induction Imaging
Electromagnetic Induction Imaging: Theory and Biomedical Applications
Related Articles
In Situ Fuel Cell Water Metrology at the NIST Neutron Imaging Facility
J. Fuel Cell Sci. Technol (April,2010)
An Imaging Study of Compression Ignition Phenomena of Iso-Octane, Indolene, and Gasoline Fuels in a Single-Cylinder Research Engine
J. Eng. Gas Turbines Power (September,2008)
Adhesive Bond Imaging by Noncontact Measurements With Single-Sided Access
ASME J Nondestructive Evaluation (May,2018)