Foto del docente

Luigi Di Stefano

Professore ordinario

Dipartimento di Informatica - Scienza e Ingegneria

Settore scientifico disciplinare: ING-INF/05 SISTEMI DI ELABORAZIONE DELLE INFORMAZIONI

Pubblicazioni

F. Tombari; S. Mattoccia; L. Di Stefano, Stereo for robots: quantitative evaluation of efficient and low-memory dense stereo algorithms, in: Proceedings of the 11th Int. Conf. on Control, Automation, Robotics and Vision (ICARCV 2010), LOS ALAMITOS, IEEE, 2010, pp. 1231 - 1238 (atti di: 11th Int. Conf. on Control, Automation, Robotics and Vision (ICARCV 2010), Singapore, Singapore, December 7-10, 2010) [Contributo in Atti di convegno]

F. Tombari; S. Salti; L. Di Stefano, Unique Shape Context for 3D Data Description, in: Proceedings of the ACM workshop on 3D object retrieval, NEWYORK, ACM, 2010, pp. 57 - 62 (atti di: ACM workshop on 3D object retrieval (3DOR), Firenze, Italy, October 25, 2010) [Contributo in Atti di convegno]

F. Tombari; S. Salti; L. Di Stefano, Unique signatures of Histograms for local surface description, in: Proceedings ECCV 2010, Part III, LNCS 6313, BERLIN, K. Daniilidis, P. Maragos, N. Paragios, 2010, pp. 347 - 360 (atti di: European Conference on Computer Vision, Creta, Greece, September 5-11, 2010) [Contributo in Atti di convegno]

F. Tombari; S. Mattoccia; L. Di Stefano;, A Template Analysis Methodology to Improve the Efficiency of Fast Matching Algorithms, in: Lecture Notes in Computer Science, s.l, Springer Berlin / Heidelberg, 2009, 5807/2009, pp. 100 - 108 (atti di: Advanced Concepts for Intelligent Vision Systems, Bordeaux, France, September 28–October 2, 2009) [Contributo in Atti di convegno]

A. Lanza; L. Di Stefano; L. Soffritti, Bayesian Order-Consistency Testing with Class Priors Derivation for Robust Change Detection, in: Proceedings of the 2009 Sixth IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), WASHINGTON, IEEE Computer Society, 2009, pp. 460 - 465 (atti di: Sixth IEEE International Conference on Advanced Video and Signal Based Surveillance, Genova, September 02-04 2009) [Contributo in Atti di convegno]

S. Mattoccia; F. Tombari; L. Di Stefano, Enhanced Low-Resolution Pruning for Fast Full-Search Template Matching, in: Lecture Notes in Computer Science, s.l, Springer Berlin / Heidelberg, 2009, 5807/2009, pp. 109 - 120 (atti di: Advanced Concepts for Intelligent Vision Systems, Bordeaux, France, September 28–October 2, 2009) [Contributo in Atti di convegno]

F. Tombari; S. Mattoccia; L. Di Stefano, Full search-equivalent pattern matching with Incremental Dissimilarity Approximations, «IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE», 2009, 31(1), pp. 129 - 141 [articolo]

M. Magno; F. Tombari; D. Brunelli; L. Di Stefano; L. Benini, Multimodal abandoned/removed object detection for low power video surveillance systems, in: Proceedings of the 2009 Sixth IEEE International Conference on Advanced Video and Signal Based Surveillance, s.l, IEEE Press, 2009, 1, pp. 188 - 193 (atti di: 2009 Sixth IEEE International Conference on Advanced Video and Signal Based Surveillance, Genova, Italy, September 02-04 2009) [Contributo in Atti di convegno]

F. Tombari; A. Lanza; L. Di Stefano; S. Mattoccia, Non-linear Parametric Bayesian Regression for Robust Background Subtraction, in: Proceedings of IEEE Workshop on Motion and Video Computing 2009, s.l, s.n, 2009, 1, pp. 25 - 31 (atti di: IEEE Workshop on Motion and Video Computing 2009, Snowbird, Utah (USA), 9 Dicembre 2009) [Contributo in Atti di convegno]

A. Lanza; L. Di Stefano, On-Line Learning of Background Appearance Changes for Robust Background Subtraction, in: Proceedings of the 3rd International Conference on Imaging for Crime Detection and Prevention (ICDP-09), STEVENAGE, IET, 2009, pp. 1 - 6 (atti di: 3rd International Conference on Imaging for Crime Detection and Prevention (ICDP-09), Londra (UK), 3 December 2009) [Contributo in Atti di convegno]

S. Salti; L. Di Stefano, On-Line Learning of the Transition Model for Recursive Bayesian Estimation, in: Proceedings of the 2nd International Workshop on Machine Learning for Vision-based Motion Analysis (MLVMA’09), LOS ALAMITOS,CA, IEEE Computer Society, 2009, pp. 1 - 8 (atti di: The 2nd International Workshop on Machine Learning for Vision-based Motion Analysis (MLVMA’09), Kyoto, Japan, September 28, 2009) [Contributo in Atti di convegno]

Coordinamento del progetto: SOFIA - Smart Objects for Intelligent Applications.

S. Salti; L. Di Stefano, SVR-Based Jitter Reduction for Markerless Augmented Reality, in: P. FOGGIA; C. SANSONE; M. VENTO, Image Analysis and Processing - ICIAP 2009, 15th International Conference, Proceedings, BERLIN, Springer-Verlag, 2009, pp. 24 - 33 (atti di: Image Analysis and Processing - ICIAP 2009, 15th International Conference, Vietri sul Mare, Italy, September 8-11, 2009) [Contributo in Atti di convegno]

P. Azzari; L. Di Stefano, Vision-based markerless gaming interface, in: Image Analysis and Processing – ICIAP 2009, BERLINO, Springer Verlag, 2009, LNCS 5716, pp. 288 - 296 (atti di: 15th International Conference on Image Analysis and Processing, Vietri sul Mare (Italy), September 8-11, 2009) [Contributo in Atti di convegno]

P. Azzari; L. Di Stefano; S. Mattoccia, An Evaluation Methodology for Image Mosaicing Algorithms, in: J. BLANC-TALON ET AL., Advanced Concepts for Intelligent Vision Systems, Lecture Notes on Computer Science, LNCS 5259, BERLINO, Springer-Verlag, 2008, pp. 89 - 100 (atti di: Advanced Concepts for Intelligent Vision Systems, Juan les Pins, Francia, 20-24 Ottobre 2008) [Contributo in Atti di convegno]