3-D face recognition: features, databases, algorithms and challenges-Reference-Cited by-同舟云学术

3-D face recognition: features, databases, algorithms and challenges

Published:2015-06-19 Issue:3 Volume:44 Page:393-441
ISSN:0269-2821
Container-title:Artificial Intelligence Review
language:en
Short-container-title:Artif Intell Rev

Author:

Patil Hemprasad^ORCID,Kothari Ashwin,Bhurchandi Kishor

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Linguistics and Language,Language and Linguistics

Link

http://link.springer.com/content/pdf/10.1007/s10462-015-9431-0.pdf

Reference171 articles.

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2. Abate AF, Nappi M, Riccio D, Sabatino G (2007) 2D and 3D face recognition: a survey. Pattern Recogn Lett 28:1885–1906. doi: 10.1016/j.patrec.2006.12.018

3. Achermann B, Bunke H (2000) Classifying range images of human faces with Hausdorff distance. In: 15th international conference on pattern recognition, pp 809–813. doi: 10.1109/ICPR.2000.906199

4. Al-Osaimi F, Bennamoun M, Mian A (2009) An expression deformation approach to non-rigid 3D face recognition. Int J Comput Vis 81:302–316. doi: 10.1007/s11263-008-0174-0

5. Al-Osaimi FR, Bennamoun M, Mian A (2012) Spatially optimized data-level fusion of texture and shape for face recognition. IEEE Trans Image Process 21:859–872. doi: 10.1109/TIP.2011.2165218

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