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3D Assisted Face Recognition: A Survey of 3D Imaging, Modelling and Recognition Approachest
Abstract
3D face recognition has lately been attracting ever increasing attention. In this paper we review the full spectrum of 3D face processing technology, from sensing to recognition. The review covers 3D face modelling, 3D to 3D and 3D to 2D registration, 3D based recognition and 3D assisted 2D based recognition. The fusion of 2D and 3D modalities is also addressed. The paper complements other reviews in the face biometrics area by focusing on the sensor technology, and by detailing the efforts in 3D face modelling and 3D assisted 2D face matching.
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Methods of 3D face reconstruction from 2D photographs or video surveillance images have been intensively studied for many years.
“methods of 3D face reconstruction from 2D photographs or images from video surveillance cameras have been intensively studied for many years [47–49].”
From Simulation of facial growth based on longitudinal data: Age progression and age regression between 7 and 17 years of age using 3D surface data (2019) · cites this paper as [47]
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Cited by
Sorted by citations
Koudelová, J., Hoffmannová, E., Dupej, J., & Velemínská, J. (2019) · PLOS ONE · doi:10.1371/journal.pone.0212618 · Cited by 33
Metadata
- Authors
- Kittler, J., Hilton, A., Hamouz, M., & Illingworth, J.
- Venue
- 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Workshops
- Publisher
- IEEE
- Published
- 2006
- Volume
- 3
- Pages
- 114-114
- Cited by
- 45
- References
- 0
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