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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