RICERCA ITALIANA     

Programmi di ricerca simili:

• 1 - Reverse Engineering: Sviluppo di un sistema di acquisizione 3D a basso costo, basato sulla fotogrammetria digitale in campo stretto, applicato al rilievo morfo-biometrico
• 2 - Future applicazioni del paradigma peer-to-peer
• 3 - Sviluppo di metodi innovativi per la misura di grandezze meccaniche nella ottimizzazione della riabilitazione del movimento
• 4 - Metodologie avanzate per il controllo di sistemi ibridi
• 5 - Ambienti intelligenti: interpretazione di eventi, riconfigurabilità sensoriale e interfacce multimodali.
• 6 - FREE SURF: FREE SUrveillance in a pRivacy-respectFul way
• 7 - Metodi basati sulla similarita' per la visione artificiale e il riconoscimento delle forme: Teoria, algoritmi, applicazioni
• 8 - Modellazione dinamica e controllo di strutture meccaniche complesse caratterizzate da parametri incerti
• 9 - Valutazione e gestione del rischio decisionale associato all'incertezza di misura nel riconoscimento per la sicurezza
• 10 - La Geomatica a supporto delle azioni di Governo del Territorio

Classificazione scientifico-disciplinare

• Area scientifico disciplinare: Ingegneria industriale e dell'informazione
  • TELECOMUNICAZIONI
  • SISTEMI DI ELABORAZIONE DELLE INFORMAZIONI

Classificazione brevettuale

• PHYSICS
  • CHECKING-DEVICES
    • TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE (finger printing A61B5/103; indicating or recording apparatus for measuring in general, analogous apparatus but in which the input is not a variable to be measured, e.g. a hand operation, G01D; clocks, clock mechanisms G04B, G04C; time-interval measuring G04F; counting mechanisms per se G06M)
  • COMPUTING; CALCULATING; COUNTING (score computers for games A63; combinations of writing applicances with computing devices B43K29/08)
    • RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
  • NUCLEAR PHYSICS; NUCLEAR ENGINEERING
    • FUSION REACTORS (uncontrolled reactors G21J)

Classificazione geografica

• Regione: Sardegna

Bibliografia

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[2] Tistarelli, M. and Grosso, E., "Active vision-based face authentication" Image and Vision Computing: Special issue on Facial Image Analysis, M. Tistarelli ed., Vol. 18, no. 4, pp 299-314, 2000.
[3] Tistarelli, M. and Grosso, E., "Active Vision-Based Face Recognition: Issues, Applications and Techniques", NATO ASI Series F, Vol. 163, "Face Recognition. From Theory to Applications", pp. 262-286, Springer-Verlag.
[4] M.Tistarelli, J. Bigun. A.K. Jain Eds., Int.l Workshop on Biometric Authentication, Springer Verlag, LNCS 2359, 2002.
[5] R. Cappelli, A. Lumini, D. Maio and D. Maltoni, "Fingerprint Classification by Directional Image Partitioning", IEEE Trans. on Pattern Analysis Machine Intelligence, vol.21, no.5, pp.402-421, May 1999.
[6] D. Maio, D. Maltoni, R. Cappelli, J.L. Wayman and A.K. Jain, "FVC2000: Fingerprint Verification Competition", IEEE Trans. on Pattern Analysis Machine Intelligence, vol.24, no.3, pp.402-412, March 2002.
[7] D. Maio and D. Maltoni, "Direct Gray-Scale Minutiae Detection in Fingerprints", IEEE Trans. on Pattern Analysis Machine Intelligence, vol.19, no.1, pp.27-40, 1997.
[8] Giacinto G.; Roli F., “Dynamic classifier selection based on multiple classifier behaviour”, Pattern Recognition. (vol. 34), 2001.
[9] F. Roli and J. Kittler Eds., Multiple Classifier Systems, Springer Verlag, LNCS 2364, 2002.
[10] G. Giacinto, F. Roli, L. Didaci, "Fusion of multiple classifiers for intrusion detection in computer networks", Pattern Recognition Letters, 2003.
[11] H. Wechsler and P.J. Phillips, "Face Recognition. From Theory to Applications". NATO ASI Series F, Vol. 163, Springer-Verlag, Berlin Heidelberg, 2000.
[12] G. Robertson and I. Craw, "Testing face recognition systems". In Proc. of 4th British Machine Vision Conference, pp 25-34, University of Surrey, Guildford (UK), 1993.
[13] M. Turk and A. Pentland, "Eigenfaces for recognition". Journal of Cognitive Neuroscience, 3 (1) pp 71-79, March 1991.
[14] P.N. Belhumeur, J.P. Hespanha and D.J. Kriegman, "Eigenfaces vs. fisherfaces: Recognition using class specific linear projection". IEEE Trans. on PAMI, PAMI-19(7), pp 711-20, 1997.
[15] T.F. Cootes, G.J. Edwards and C.J. Taylor, "Active appearance models". In Proc. of 5th European Conference on Computer Vision, pp 484-98, Freiburg (Germany), 1998. Springer Verlag.
[16] C. Beumier and M. Acheroy, "Automatic 3d face authentication". Image and Vision Computing, 18(4), 2000.
[17] M. Proesmans and L. Van Gool, "One shot 3d-shape and texture acquisition of facial data". In Audio and Video based Person Authentication - AVBPA97. Springer, 1997.
[18] R. Brunelli and T. Poggio, "Face recognition: Features versus templates". IEEE Trans. on PAMI, PAMI-15(10), pp 1042-1052, 1993.
[19] B. Scholkopf, K.K. Sung, C.J.C. Burges, F. Girosi, P. Niyogi, T. Poggio, and V. Vapnik, "Comparing support vector machines with gaussian kernels to radial basis function classifiers". IEEE Trans. on Signal Processing, 45(11), pp 2758-65, 1997.
[20] M. Pontil and A. Verri, "Direct aspect-based 3d object recognition". IEEE Trans. on PAMI, 1998.
[21] L. Wiskott, J.M. Fellous, N. Kruger and C. von der Malsburg, "Face recognition by elastic bunch graph matching". IEEE Trans. on PAMI, PAMI-19, pp 775-779, 1997.
[22] M. Tistarelli, "Active/space-variant object recognition". Image and Vision Computing, 13(3), pp 215-226, 1995.
[23] A.L. Yuille, P.W. Hallinan and D.S. Cohen, "Feature extraction from face using deformable templates". Int.l Journal of Computer Vision, 8, pp 99-111, 1992.
[24] K.N. Walker, T.F. Cootes and C.J. Taylor, "Locating salient facial features using image invariants". In Proc. of third IEEE Int.l Conference on Automatic Face and Gesture Recognition, pp 242-247, Nara (Japan), 1998. IEEE Computer Society.
[25] I. Biederman, "Human image understanding: Recent research and theory".Computer Vision Graphics and Image Processing, 32, pp 29-73, 1985.
[26] Kovacs-Vajna Z.M., Rovatti R. and Frazzoni M., “Fingerprint ridge distance computation methodologies”, Pattern Recognition, vol. 33, no. 1, pp. 69-80, 2000.
[27] Hrechak A. and McHugh J., “Automated fingerprint recognition using structural matching”, Pattern Recognition, vol. 23, no. 8, pp. 893-904, 1990.
[28] D. Maio and D. Maltoni, "An efficient approach to on-line fingerprint verification", in proceedings VIII Int.l Symposium on Artificial Intelligence, Mexico, pp.132-138, October 1995.
[29] Jiang X. and Yau W.Y., “Fingerprint Minutiae Matching based on the Local and Global Structures”, in proc. Int. Conf. on Pattern Recognition (15th), vol. 2, pp. 10421045, 2000.
[30] Ratha N.K., Pandit V.D., Bolle R.M. and Vaish, V., “Robust Fingerprint Authentication Using Local Structural Similarity”, in proc. Workshop on Applications of Computer Vision, pp. 29-34, 2000.
[31] Stosz J.D. and Alyea L.A., “Automated system for fingerprint authentication using pores and ridge structure”, Proc. of SPIE (Automatic Systems for the Identification and Inspection of Humans), vol. 2277, pp. 210-223, 1994.
[32] Willis A.J. and Myers L., “A cost-effective fingerprint recognition system for use with low-quality prints and damaged fingertips”, Pattern Recognition, vol. 34, no. 2, pp. 255-270, 2001.
[33] Jain A.K., Prabhakar S., Hong L. and Pankanti S., “FingerCode: A Filterbank for Fingerprint Representation and Matching”, in proc. Conf. Computer Vision and Pattern Recognition, vol. 2, pp. 187-193, 1999.
[34] Kaymaz E. and Mitra S., “Analysis and matching of degraded and noisy fingerprints”, Proc. of SPIE (Applications of Digital Image Processing XV), vol. 1771, pp. 498-508, 1992.
[35] D. Maio, D. Maltoni, R. Cappelli, J.L. Wayman and A.K. Jain, "FVC2000: Fingerprint Verification Competition", IEEE Trans. on Pattern Analysis Machine Intelligence, vol.24, no.3, pp.402-412, March 2002.
[36] S. Prabhakar and A.K. Jain, Decision-level Fusion in Fingerprint Verification, Pattern Recognition, 35(4), 861-874, 2002.
[37] G.L. Marcialis and F. Roli, Experimental results on fusion of multiple fingerprint matchers, to appear in Proc. of the 4th Int. Conf. on Audio- and Video-Based Person Authentication Systems, Guildford (UK), June, 9-11, 2003.
[38] S.M. Lucas, Continuous n-Tuple Classifier and its Application to Real-time Face Recognition, IEE Proc. of Visual Image and Signal Processing, 145 (5) 343-348, 1998.
[39] AS. Tolba and AN. Abu-Rezq, Combined Classifier for Invariant Face Recognition, Pattern Analysis and Applications, 3 (4) 289-302, 2000.
[40] G.L. Marcialis and F. Roli, Fusion of LDA and PCA for Face Verification, Proc. of the Workshop on Biometric Authentication, M. Tistarelli, J. Bigun and A.K. Jain Eds., Springer LNCS 2359, pp.30-37, Copenhagen, Denmark, 2002.
[41] A. Ross, A.K. Jain, and J.Z. Qian, Information Fusion in Biometrics, Proc. 3rd Intern. Conf. on Audio- and Video-Based Person Authentication (AVBPA), pp. 354-359, 2001.
[42] G.Vigna, R.Kemmerer, P.Blix. Designing a Web of Highly-Configurable Intrusion Detection Sensors. Proc. of the RAID 2001 symposium, LNCS 2212, Springer, 69-84, 2001.
[43] A.Valdes, K.Skinner. Probabilistic Alert Correlation. Proc. of RAID 2001, LNCS 2212, Springer, 54-68, 2001.
[44] Paul D.Williams et al. CDIS: Towards a Computer Immune System for Detecting Network Intrusion. Proc. of RAID 2001, LNCS 2212, Springer, 117-133, 2001.
[45] G. Giacinto, F. Roli, "Pattern Recognition for Intrusion Detection in Computer Networks", in D. Chen and X. Cheng (Eds.) "Pattern Recognition and String Matching", Kluwer Academic Pubs., 2002.
[46] Ryan J., Lin M.J., Miikkulainen R., "Intrusion Detection with Neural Networks. In: Advances in NIPS 10, M. Jordan et al., Eds., Cambridge, MA: MIT Press, 943-949, 1998.
[47] G. Giacinto, F. Roli, L. Didaci, "Fusion of multiple classifiers for intrusion detection in computer networks", Pattern Recognition Letters, 2003.

Parole Chiave

BIOMETRIA; ELABORAZIONE DI IMMAGINI; VISIONE ARTIFICIALE; RICONOSCIMENTO; SICUREZZA; SISTEMI INFORMATIVI