3D face recognition: a survey

Abstract 3D face recognition has become a trending research direction in both industry and academia. It inherits advantages from traditional 2D face recognition, such as the natural recognition process and a wide range of applications. Moreover, 3D face recognition systems could accurately recognize...
Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Zhou, Song [verfasserIn] Xiao, Sheng [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2018

Schlagwörter:	3D face recognition 3D face database Pose-invariant face recognition Expression-invariant face recognition Occlusion-invariant face recognition

Übergeordnetes Werk:	Enthalten in: Human-centric computing and information sciences - [Erscheinungsort nicht ermittelbar] : KIPS-CSWRG, 2012, 8(2018), 1 vom: 24. Nov.
Übergeordnetes Werk:	volume:8 ; year:2018 ; number:1 ; day:24 ; month:11

Links:	Volltext

DOI / URN:	10.1186/s13673-018-0157-2

Katalog-ID:	SPR032156502

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allfieldsSound	10.1186/s13673-018-0157-2 doi (DE-627)SPR032156502 (SPR)s13673-018-0157-2-e DE-627 ger DE-627 rakwb eng 004 ASE 004 ASE 54.70 bkl Zhou, Song verfasserin aut 3D face recognition: a survey 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract 3D face recognition has become a trending research direction in both industry and academia. It inherits advantages from traditional 2D face recognition, such as the natural recognition process and a wide range of applications. Moreover, 3D face recognition systems could accurately recognize human faces even under dim lights and with variant facial positions and expressions, in such conditions 2D face recognition systems would have immense difficulty to operate. This paper summarizes the history and the most recent progresses in 3D face recognition research domain. The frontier research results are introduced in three categories: pose-invariant recognition, expression-invariant recognition, and occlusion-invariant recognition. To promote future research, this paper collects information about publicly available 3D face databases. This paper also lists important open problems. 3D face recognition (dpeaa)DE-He213 3D face database (dpeaa)DE-He213 Pose-invariant face recognition (dpeaa)DE-He213 Expression-invariant face recognition (dpeaa)DE-He213 Occlusion-invariant face recognition (dpeaa)DE-He213 Xiao, Sheng verfasserin aut Enthalten in Human-centric computing and information sciences [Erscheinungsort nicht ermittelbar] : KIPS-CSWRG, 2012 8(2018), 1 vom: 24. Nov. (DE-627)752436686 (DE-600)2724362-X 2192-1962 nnns volume:8 year:2018 number:1 day:24 month:11 https://dx.doi.org/10.1186/s13673-018-0157-2 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 54.70 ASE AR 8 2018 1 24 11
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source	Enthalten in Human-centric computing and information sciences 8(2018), 1 vom: 24. Nov. volume:8 year:2018 number:1 day:24 month:11
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author	Zhou, Song
spellingShingle	Zhou, Song ddc 004 bkl 54.70 misc 3D face recognition misc 3D face database misc Pose-invariant face recognition misc Expression-invariant face recognition misc Occlusion-invariant face recognition 3D face recognition: a survey
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topic_title	004 ASE 54.70 bkl 3D face recognition: a survey 3D face recognition (dpeaa)DE-He213 3D face database (dpeaa)DE-He213 Pose-invariant face recognition (dpeaa)DE-He213 Expression-invariant face recognition (dpeaa)DE-He213 Occlusion-invariant face recognition (dpeaa)DE-He213
topic	ddc 004 bkl 54.70 misc 3D face recognition misc 3D face database misc Pose-invariant face recognition misc Expression-invariant face recognition misc Occlusion-invariant face recognition
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title	3D face recognition: a survey
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title_full	3D face recognition: a survey
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title_sort	3d face recognition: a survey
title_auth	3D face recognition: a survey
abstract	Abstract 3D face recognition has become a trending research direction in both industry and academia. It inherits advantages from traditional 2D face recognition, such as the natural recognition process and a wide range of applications. Moreover, 3D face recognition systems could accurately recognize human faces even under dim lights and with variant facial positions and expressions, in such conditions 2D face recognition systems would have immense difficulty to operate. This paper summarizes the history and the most recent progresses in 3D face recognition research domain. The frontier research results are introduced in three categories: pose-invariant recognition, expression-invariant recognition, and occlusion-invariant recognition. To promote future research, this paper collects information about publicly available 3D face databases. This paper also lists important open problems.
abstractGer	Abstract 3D face recognition has become a trending research direction in both industry and academia. It inherits advantages from traditional 2D face recognition, such as the natural recognition process and a wide range of applications. Moreover, 3D face recognition systems could accurately recognize human faces even under dim lights and with variant facial positions and expressions, in such conditions 2D face recognition systems would have immense difficulty to operate. This paper summarizes the history and the most recent progresses in 3D face recognition research domain. The frontier research results are introduced in three categories: pose-invariant recognition, expression-invariant recognition, and occlusion-invariant recognition. To promote future research, this paper collects information about publicly available 3D face databases. This paper also lists important open problems.
abstract_unstemmed	Abstract 3D face recognition has become a trending research direction in both industry and academia. It inherits advantages from traditional 2D face recognition, such as the natural recognition process and a wide range of applications. Moreover, 3D face recognition systems could accurately recognize human faces even under dim lights and with variant facial positions and expressions, in such conditions 2D face recognition systems would have immense difficulty to operate. This paper summarizes the history and the most recent progresses in 3D face recognition research domain. The frontier research results are introduced in three categories: pose-invariant recognition, expression-invariant recognition, and occlusion-invariant recognition. To promote future research, this paper collects information about publicly available 3D face databases. This paper also lists important open problems.
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title_short	3D face recognition: a survey
url	https://dx.doi.org/10.1186/s13673-018-0157-2
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