FRGC

AcronymDefinition
FRGCFace Recognition Grand Challenge
FRGCFondul Român de Garantare a Creditelor (Romanian: Romanian Loan Guarantee Fund)
FRGCFernan Rod & Gun Club (Idaho)
FRGCFaculty Research Grants Committee (higher education)
FRGCFriction Roller Gear Conveyor
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References in periodicals archive ?
We have manually observed that the proposed algorithm correctly detected the nose tips of face images from GavabDB, Bosphorus, UMB-DB and FRGC v2.0 databases.
Our proposed algorithm targets to design an efficient approach by performing experiments on four databases, namely, GavabDB, Bosphorus, UMB-DB and FRGC v2.0.
Similarly, FRGC v2.0 3D database [20] [44] contains 4006 images with pose and expression variations.
The cropped examples of FRGC database are shown in Figure 4.
Maslov et al., "Performance of geometrix activeid 3d face recognition engine on the frgc data," in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR '05), p.
A priori registration of the point clouds is commonly performed by ICP algorithms with 92.1% rank-one identification on a subset of FRGC v2 [3].
In this paper, we present our results evaluating the performance of our framework using the Face Recognition Grand Challenge (FRGC) data corpus, which is organized in 2004 by NIST [12].
Popularity of multimodal databases Database Year Number of persons sessions traits publications since 1913 2008 BioSecure 2008 971 2 2 19 10 667 2 6 713 2 4 BiosecurID 2007 400 4 8 2 2 Biosec 2007 250 4 4 2 0 I[V.sup.2] 2007 300 1-2 3 0 0 MBioID 2007 120 2 6 0 0 FRGC 2006 741 variable 2 121 54 M3 2006 32 3 3 0 0 MyIDEA 2005 104 3 6 3 2 BANCA 2003 208 12 2 38 5 BIOMET 2003 91 3 6 5 3 MCYT 2003 330 1 2 25 11 Smartkom 2002 96 variable 4 1 0 BT-DAVID 1999 124 5 2 0 0 XM2VTS 1999 295 4 2 102 26 M2VTS 1998 37 5 2 28 3
FRGa FRGc 1 2 3 4 5 6 7 8 9 Total 1 88 0 0 13 4 5 1 0 2 113 2 5 65 15 3 2 3 0 0 0 93 3 1 29 39 15 9 1 4 1 0 99 4 14 6 7 32 21 15 14 7 10 126 5 6 1 3 12 13 15 11 6 3 70 6 3 4 1 4 8 6 11 4 10 51 7 3 0 1 9 8 7 51 5 20 104 8 3 0 2 3 5 7 5 7 14 46 9 0 1 1 5 3 6 17 14 55 102 Total 123 106 69 96 73 65 114 44 114 804 Note: 44.0% of patients were classified into same FRG, 67.0% one level apart, and 80.5% two levels apart; [chi square] = 1,232.6, df = 64, p < 0.001; [kappa] = 0.37.
We describe the database used in the experiments and then provide experimental results in three different subsections: (i) the general performance of the proposed system on the FRGC and Sogang Periocular Database (SPDB), (ii) the effect of distance variation on recognition accuracy, and (iii) the performance comparisons between the proposed method and two other state-of-the-art LBP-based methods [12][14].
We performed a four-fold cross-validation to evaluate the subspace learning method on FRGC dataset.