SpPCANet: a simple deep learning-based feature extraction approach for 3D face recognition

Author:

Dutta KoushikORCID,Bhattacharjee Debotosh,Nasipuri Mita

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Reference47 articles.

1. Alain G, Bengio Y (2014) What regularized auto-encoders learn from the data-generating distribution. J Mach Learn Res 15:3743–3773

2. Alyuz N, Gokberk B, Dibeklioglu H, Savran A, Salah AA, Akarun L, Sankur B (2008) 3D Face Recognition Benchmarks on the Bosphorus3D Database with Focus on Facial Expressions. In: Schouten B, Juul NC, Drygajlo A, Tistarelli M (eds) Biometrics and Identity Management. BioID 2008. Lecture notes in computer science, vol 5372. Springer, Berlin Heidelberg, pp 57–66

3. Bagchi P, Bhattacharjee D, Nasipuri M (2015). 3D face recognition using surface Normals. In: Proc. IEEE region 10 conference, TENCON - 2015. https://doi.org/10.1109/TENCON.2015.7372819

4. Besl PJ, McKay ND (1992) A method for registration of 3-D shapes. IEEE trans. Pattern anal. Mach. Intell. (T-PAMI) 14(2):239–256

5. BOSPHORUS3D3D: http://bosphorus.ee.boun.edu.tr/default.aspx

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