Skip to main content

Table 7 Local processing based 3D face recognition approaches [6]

From: 3D face recognition: a survey

Category/references

Dataset

Local sub-regions

Identification rate (%)

Verification rate (%)

Classifier/feature detection

Chang et al. [4]

ND2006

Interior nose, center face,entire nose

87.10

–

PCA

Kin-Chung et al. [81]

FRGC v 2.0

10 Sub-regions from nose, eyes, cheeks and eyebrows

–

90.45

LDA,LSVM

Faltemier et al. [83]

FRGC v 2.0

38 Sub-regions from nose, eyes, forehead and chin

97.20

93.2

–

Boehnen et al. [91]

FRGC v 2.0

Eight sub-regions around eyes and nose

95.50

–

Nearest neighbor

Queirolo et al. [75]

FRGC v 2.0

Sub-regions from nose and forehead

98.40

96.50

–

Spreeuwers et al. [92]

FRGC v 2.0

30 Overlapping sub-regions from all over the face

99.00

94.60

PCA-LDA

Li and Da [93]

FRGC v 2.0

Six sub-regions: forehead, left mouth, right mouth, nose,left cheek and right cheek

97.80

96.00

PCA

Lei et al. [94]

FRGC v 2.0

Sub-regions from nose, eyes and forehead area

95.60

97.60

Modified LDA, polynomial-linear-RBF SVM

Tang et al. [87]

BU-3DFE

Special feature based sparse division (29 blocks) and dense division (59 blocks)

97.70

98.20

Nearest neighbor

FRGC v2.0

94.89

–

Li et al. [95]

BJUT-3D

Multi-scale multi resolution patches (MSMC-LNP)

95.10

–

W-SRC

FRGC v2.0

96.30

–

BU-3DFE

92.21

–

Bosphorus

95.40

–

Ming [89]

FRGC v2.0

Seven sub-regions: forehead, mouth, left cheek, right cheek, nose, left eye and right eye regions

–

95.03

–