By Gary A. Atkinson, Melvyn L. Smith, Lyndon N. Smith, Abdul R. Farooq (auth.), Massimo Tistarelli, Mark S. Nixon (eds.)
This e-book constitutes the refereed court cases 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 conscientiously reviewed and chosen from 250 submissions. Biometric standards lined via the papers are assigned to stand, speech, fingerprint and palmprint, multibiometrics and protection, gait, iris, and different biometrics. moreover there are four papers on demanding situations and competitions that presently are less than means, therefore providing an outline at the review of biometrics.
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Extra resources for Advances in Biometrics: Third International Conference, ICB 2009, Alghero, Italy, June 2-5, 2009. Proceedings
We focused this work on handling variation in facial appearance caused by 3D head pose. A pose normalization approach based on ﬁtting active appearance models (AAM) on a given face image was investigated. Proﬁle faces with diﬀerent rotation angles in depth were warped into shape-free frontal view faces. Face recognition experiments were carried out on the pose normalized facial images with a local appearancebased approach. The experimental results showed a signiﬁcant improvement in accuracy. The local appearance-based face recognition approach is found to be robust against errors introduced by face model ﬁtting.
1 Introduction Most of the current face recognition technologies are based on the appearance of face. One of the typical problems, where the appearance-based recognition approaches fail, is 3D pose variation. As the human face is a 3D object, its visual appearance under diﬀerent view angles varies signiﬁcantly. In , it has been shown that facial appearance variations caused by diﬀerent head poses is larger than the ones caused by diﬀerent identities. The large diﬀerence in appearance makes face recognition diﬃcult when the face pose in the probe image diﬀers from the one in the gallery image.
However, ICP is iterative and involves a nearest-neighbor computation at each iteration, which can require a long running time, especially when the application is identification and involves the processing of a large subject gallery. M. S. ): ICB 2009, LNCS 5558, pp. 12–21, 2009. © Springer-Verlag Berlin Heidelberg 2009 3D Signatures for Fast 3D Face Recognition 13 This paper proposes a new face representation (called a 3D signature) which is a vector representation of the surface with vector entries tied to a canonical face coordinate system obtained by a one-time per region alignment operation.