A fast and robust 3D face recognition approach based on deeply learned face representation-Reference-Cited by-同舟云学术

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A fast and robust 3D face recognition approach based on deeply learned face representation

Published:2019-10 Issue: Volume:363 Page:375-397
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Cai Ying,Lei Yinjie,Yang Menglong^ORCID,You Zhisheng,Shan Shiguang

Funder

Chinese Universities Scientific Fund

National Natural Science Foundation of China

Sichuan Science and Technology Program

Sichuan University

National Key Scientific Instrument and Equipment Development Project of China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference92 articles.

1. Labeled Faces in the Wild: A Database for Studying Face Recognition in Unconstrained Environments;Huang,2008

2. A machine-learning approach to keypoint detection and landmarking on 3D meshes;Creusot;Int. J. Comput. Vis.,2013

3. Robust real-time 3D head pose estimation from range data;Malassiotis;Pattern Recognit.,2005

4. Robust head pose estimation using a 3D morphable model;Cai;Math. Probl. Eng.,2015

5. An effective methodology for dynamic 3D facial expression retrieval;Danelakis;Pattern Recognit.,2016

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