By Gary A. Atkinson, Melvyn L. Smith, Lyndon N. Smith, Abdul R. Farooq (auth.), Massimo Tistarelli, Mark S. Nixon (eds.)
This publication constitutes the refereed lawsuits of the 3rd foreign convention on Biometrics, ICB 2009, held in Alghero, Italy, June 2-5, 2009.
The 36 revised complete papers and ninety three revised poster papers awarded have been rigorously reviewed and chosen from 250 submissions. Biometric standards lined via the papers are assigned to stand, speech, fingerprint and palmprint, multibiometrics and defense, gait, iris, and different biometrics. moreover there are four papers on demanding situations and competitions that at the moment are below method, therefore offering an summary at the overview of biometrics.
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Extra resources for Advances in Biometrics: Third International Conference, ICB 2009, Alghero, Italy, June 2-5, 2009. Proceedings
The 1000 testing scans belong to diﬀerent subjects (whose scans where not present in the training data). R. Al-Osaimi, M. Bennamoun, and A. Mian In the expression classiﬁcation experiment, the non-neutral scans which were used to form the 1948 training residues were decomposed and their residue estimates were used for expression classiﬁcation as described in Section 3. It is possible to use the training ground truth residues (diﬀerence between non-neutral and neutral scans) for classiﬁcation rather than their estimates.
An Eﬃcient Multimodal 2D-3D Hybrid Approach to Automatic Face Recognition. In: IEEE PAMI (2007) 12. : Bilinear Models for 3D Face and Facial Expression Recognition. IEEE Transactions on Information Forensics and Security (2008) 13. : Overview of the Face Recognition Grand Challenge. In: CVPR (2005) 14. : A method for converting a smiling face to a neutral face with applications to face recognition. In: IEEE ICASSP (2005) 15. : Human Facial Expression Recognition using a 3D Morphable Model. In: IEEE Conference on Image Processing (2006) 16.
In the last stage, the outcome of the second stage is further reﬁned. In a ﬁtting process the subspace around the expression residue estimate from stage two is searched such that the reconstruction of the expression residue plus each of the N representing training neutral scans collectively ﬁt the unseen 3D facial scan. This ﬁtting is subject to an additional cost proportional to the deviation from the expression residue estimate from stage two. The result represents the ﬁnal expression residue.
Advances in Biometrics: Third International Conference, ICB 2009, Alghero, Italy, June 2-5, 2009. Proceedings by Gary A. Atkinson, Melvyn L. Smith, Lyndon N. Smith, Abdul R. Farooq (auth.), Massimo Tistarelli, Mark S. Nixon (eds.)