TY - GEN
T1 - A group of facial normal descriptors for recognizing 3D identical twins
AU - Li, Huibin
AU - Huang, Di
AU - Chen, Liming
AU - Wang, Yunhong
AU - Morvan, Jean Marie
PY - 2012
Y1 - 2012
N2 - In this paper, to characterize and distinguish identical twins, three popular texture descriptors: i.e. local binary patterns (LBPs), gabor filters (GFs) and local gabor binary patterns (LGBPs) are employed to encode the normal components (x, y and z) of the 3D facial surfaces of identical twins respectively. A group of facial normal descriptors are thus achieved, including Normal Local Binary Patterns descriptor (N-LBPs), Normal Gabor Filters descriptor (N-GFs) and Normal Local Gabor Binary Patterns descriptor (N-LGBPs). All these normal encoding based descriptors are further fed into sparse representation classifier (SRC) for identification. Experimental results on the 3D TEC database demonstrate that these proposed normal encoding based descriptors are very discriminative and efficient, achieving comparable performance to the best of state-of-the-art algorithms.
AB - In this paper, to characterize and distinguish identical twins, three popular texture descriptors: i.e. local binary patterns (LBPs), gabor filters (GFs) and local gabor binary patterns (LGBPs) are employed to encode the normal components (x, y and z) of the 3D facial surfaces of identical twins respectively. A group of facial normal descriptors are thus achieved, including Normal Local Binary Patterns descriptor (N-LBPs), Normal Gabor Filters descriptor (N-GFs) and Normal Local Gabor Binary Patterns descriptor (N-LGBPs). All these normal encoding based descriptors are further fed into sparse representation classifier (SRC) for identification. Experimental results on the 3D TEC database demonstrate that these proposed normal encoding based descriptors are very discriminative and efficient, achieving comparable performance to the best of state-of-the-art algorithms.
UR - https://www.scopus.com/pages/publications/84871999668
U2 - 10.1109/BTAS.2012.6374588
DO - 10.1109/BTAS.2012.6374588
M3 - 会议稿件
AN - SCOPUS:84871999668
SN - 9781467313841
T3 - 2012 IEEE 5th International Conference on Biometrics: Theory, Applications and Systems, BTAS 2012
SP - 271
EP - 277
BT - 2012 IEEE 5th International Conference on Biometrics
PB - IEEE Computer Society
T2 - 5th IEEE International Conference on Biometrics: Theory, Applications and Systems, BTAS 2012
Y2 - 23 September 2012 through 27 September 2012
ER -