DST, University of Verona




Official Web Site: http://www.sci.univr.it


Role and contribution

The main interests of UNIVR, with respect to ARROV, lie in optical image processing, optical/acoustical data integration, model reconstruction from acoustical data and augmented reality. In particular, UNIVR is involved in WP5, and WP6 and is responsible for the latter. Moreover, UNIVR will contribute in the system integration and validation activities.



The Department of Science and Technology is orienting its research focus towards those aspects of computer science showing the greatest potential for scientific growth and co-operation with other academic and industrial partners. The department includes fifteen faculty members pursuing research in the following areas:

  • Multimedia, with particular emphasis on image processing and artificial vision, acoustics for underwater, robotics, medical, and industrial applications in general.
  • Databases, with particular emphasis to the representation of semi-structured information  (such as www-data or rough data coming from heterogeneous data sources), and to the development of new applications of knowledge and data representation techniques.
  • Computer Architectures, to support the continuous evolution of new applications and the ever-increasing demand for computation power, with particular emphasis to Internet-based and distributed architectures.
  • Robotics and Industrial automation, to bridge the gap between traditional computer science and the world of sensing and actuation, and to lead the development of innovative robotic technologies and systems.
  • Theoretical computer science and programming languages.

More specifically, the expertise and activities of the Department of Science and Technology (Dipartimento Scientifico e Tecnologico) of the University of Verona (UNIVR) covers many topics in signal and image processing, underwater optical and acoustical imaging, neural networks, computer vision and pattern recognition, and image understanding.  UNIVR is involved in several international projects and the personnel interested in the project has notable experience in the management of research projects funded by the European Commission (EC) and national organisations. Therefore, the resulting experience and knowledge is suited to this project as both previous projects involvement and publications are sharply connected to the project tasks allocated to UNIVR.



UNIVR manages a laboratory, equipped with six Linux workstations (Pentium III, 400 MHz), a standard b/w camera and a Matrox Meteor II frame grabber. Each PC has a copy of MATLAB running.


Key personnel

UNIVR plans to contribute to this project in the person of Prof. Vittorio Murino, Dr. Andrea Fusiello, and other specialised personnel. Their experience and qualification is demonstrated by the short curriculum vitae and the scientific publications.

  • Vittorio Murino: Associate Professor.  Vittorio Murino took the Ph.D. in Electronic Engineering and Computer Science in 1993 at the University of Genoa, where he was successively a Post-Doctoral Fellow working in the Signal Processing and Understanding Group of the Dept. of Biophysical and Electronic Engineering, as supervisor of research activities on signal and image processing in underwater environments. From 1995 to 1998, he was assistant professor at the Dept. of Mathematics and Computer Science of the University of Udine, Italy, supervising research activities in a project funded by European Commission (VENICE, Brite-Euram III programme) regarding multisensorial underwater vision for object recognition and virtual reality applications. He worked at several national and European projects, especially in the context of the MAST (MArine Science and Technology) programme concerning with the investigation of underwater scenes by visual and acoustical sensors. He is also an evaluator for the European Commission of project proposals related to the MAST III, Industrial and Material Technology (BRITE-EURAM III) and Long Term Research (LTR) programmes. His main research interests include signal and image processing for recognition and classification, pattern recognition, probabilistic techniques, and computer vision, 3D shape analysis, neural networks. Moreover, he has specific experience in underwater vision (acoustical and optical), data fusion and sensory integration. He is associate editor of the Pattern Recognition journal and the IEEE Transactions on Systems, Man, and Cybernetics.
  • Andrea Fusiello: Research Associate. Andrea Fusiello received his Laurea (MSc) degree in Computer Science from the University of Udine in 1994 and his PhD in Information Engineering from the University of Trieste in 1999. He worked with the Computer Vision Group at IRST (Trento, IT) in 1993-94, and with the Machine Vision Laboratory at the University of Udine from 1996 to 1998. In 1998/99 he was one of the investigators in the EU founded project VENICE. He had been a Visiting Research Fellow in the Department of Computing and Electrical Engineering of Heriot-Watt University (UK) in 1998 and 1999. As a Research Associate, he is now with DST, University of Verona. He has published papers on real-time task scheduling, autonomous vehicles navigation, stereo, self-calibration and feature tracking. His present research is focused on 3-D computer vision, with applications to underwater robotics and multimedia.

Recent pertinent publications

  • V.Murino, G.L.Foresti, C.S.Regazzoni, A.Trucco, "A voting-based approach for fast object recognition in underwater acoustic imaging", IEEE Journal on Oceanic Engineering, Vol. 22, No. 1, January 1997, pp. 57-65.
  • V.Murino, G.L.Foresti, "2D into 3D Hough-Space Mapping for Planar Object Pose Estimation", Image and Vision Computing, no. 15, pp. 435-444, 1997.
  • V.Murino, A.Trucco, "Markov-based Methodology for the Restoration of Underwater Acoustic Images", International Journal of Imaging Systems and Technology, Special Issue on Advanced Microwave and Acoustical Imaging and Applications, Vol. 8, No. 4, pp, 386-395, 1997.
  • V.Murino, A.Trucco, "A Co-operative Approach to Feature Extraction from Acoustic Images", Applied Signal Processing, no. 3, pp. 128-135, 1996.
  • V.Murino, C.Ottonello, S.Pagnan, "Noisy Texture Classification: A Higher Order Statistics Approach", Pattern Recognition, Vol. 31, No. 4, pp. 383-393, 1998.
  • V.Murino, A. Trucco, C.S. Regazzoni, "A Probabilistic Approach to the Coupled Reconstruction and Restoration of Underwater Acoustic Images", IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 20, No. 1, pp. 9-22, January 1998.
  • V.Murino, A.Trucco, "Confidence-based Approach to Enhancing Underwater Acoustic Image Formation ", IEEE Transactions on Image Processing, Vol. 8, No. 2, February 1999 pp.270-285.
  • V.Murino, "Integration of Confidence Information by Markov Random Fields for Reconstruction of Underwater 3D Acoustic Images", in Lecture Notes on Computer Science n. 1223, M.Pelillo, E.Hancock Eds., Springer, pp. 475-490, 1997.
  • V.Murino, A. Trucco, "Coupled Segmentation and Reconstruction of Underwater 3D Acoustic Images using Confidence Information", in Advances in Visual Form Analisys, C. Arcelli, L.P. Cordella, G. Sanniti di Baja, Eds., World Scientific, Singapore, pp.415-424, 1997.
  • L. De Floriani, V. Murino, G.G. Pieroni, E. Puppo, "Virtual Environment Generation by CAD-Based Methodology for Underwater Vehicle Navigation", in Signal Processing IX, Theories and Applications (EUSIPCO '98), Vol. II, S.Theodoridis, I.Pitas, A.Stouraitis, N.Kalouptsidis Eds., 1998, pp. 1105-1108.
  • R. Giannitrapani, V. Murino, "Augmented Representation of Underwater Scenes by Segmentation and Reconstruction of 3D Acoustic Images", IEEE Multimedia Systems '99, Int. Conf. on Multimedia Computing and Systems ICMCS '99, Firenze, June 1999 (in press).
  • R. Giannitrapani, A. Trucco, V. Murino, "Segmentation of Underwater 3D Acoustical Images for Augmented and Virtual Reality Applications", OCEANS '99 MTS/IEEE, Seattle, USA, Sept. 1999 (accepted).
  • V.Murino and R. Giannitrapani, "Three-Dimensional Skeleton Extraction by Point Set Contraction", IEEE Int. Conf. on Image Processing ICIP '99, Kobe, Giappone (accepted).
  • A. Fusiello and V. Murino. Calibration of an optical-acoustic sensor. Machine Graphics & Vision, 9(1/2), 2000. To appear.
  • A. Fusiello, E. Trucco, and A. Verri. A compact algorithm for rectification of stereo pairs. Machine Vision and Applications. Accepted for publication.
  • A. Fusiello, V. Roberto, and E. Trucco. Symmetric stereo with multiple windowing. International Journal of  Pattern Recognition and Artificial Intelligence, 2000. Accepted for publication.
  • D.M. Lane, E. Trucco, J. Bell, Y. Petillot, K. Plakas, I. Tena Ruiz, J.F. Lotts, A. Fusiello, and K. Lebart. Embedded     sonar and video processing for AUV applications. In Offshore Technology Conference 2000, Houston, Texas.
  • V. Murino and A. Fusiello. Augmented reality by integrating multiple sensory modalities for underwater scene     understanding. In A.Leonardis, F. Solina, and R. Bajcsy, editors, Confluence of Computer Vision and Computer Graphic, NATO ASI series. Kluwer. To appear.
  • E. Trucco, A. Doull, F. Odone, A. Fusiello, and D. M. Lane. Dynamic video mosaics and augmented reality forsubsea inspection and monitoring. In Oceanology International 2000, Brighton (UK), 2000.
  • A. Fusiello, R. Giannitrapani, V. Isaia, and V. Murino. Virtual environment modeling by integrated optical andacoustic sensing. In Second International Conference on 3-D Digital Imaging and Modeling (3DIM99), pages     437-446, Ottawa, Canada, 4-8 October 1999. IEEE Computer Society Press. 
  • A. Fusiello, E. Trucco, T. Tommasini, and V. Roberto. Improving feature tracking with robust statistics. Pattern  Analysis and Applications, 2(4):312-320, 1999.
  • E. Trucco, A. Fusiello, and V. Roberto. Robust motion and correspondence of noisy 3-D point sets with missingdata. Pattern Recognition Letters, 20(9):889-898, September 1999.
  • K. Plakas, E. Trucco, and A. Fusiello. Uncalibrated vision for 3-D underwater applications. In Proceedings of theOCEANS'98 Conference, pages 272-276, Nice, France, September 1998. IEEE/OS.
  • T. Tommasini, A. Fusiello, V. Roberto, and E. Trucco. Robust feature tracking in underwater video sequences. InProceedings of the OCEANS'98 Conference, pages 46-50, Nice, France, September 1998. EEE/OS.


 Last Update:  May 17, 2001