Biography
Guido M. Cortelazzo holds a “Laurea in Ingegneria Elettronica” degree from the University of Padova (1976) and a Master Degree and a Philosophy Doctor Degree, both in Electrical Engineering, from the University of Illinois at Urbana-Champaign (1980 and 1984, respectively). After a period with M/A-COM Linkabit, a satellite communication company of San Diego, California, he joined (1986) the Department of Information Engineering (DEI) of the University of Padova as associate professor. In 1999 he became full professor and in 2014 he left DEI. In 1986 he co-funded with G.A. Mian the Image Processing Laboratory of DEI and in 1993 he funded the Multimedia Telecommunications and Technology Laboratory of DEI (now MEDIA lab). In 1998 he was visiting associate with the California Institute of Technology (Pasadena, CA ). He has been active in the organization of several special sessions and meetings. A founding member of the steering committee of the International Symposium on 3D Data Processing Visualization and Transmission (3DPVT) the proceedings of which he co-edited in in 2002 with Concettina Guerra. 3DPVT later merged with 3DIM into 3DV Conference, a reference conference for the community interested to 3D issues. The professional interests of Guido M. Cortelazzo originally centered on signal and image processing over the years moved to computer vision and computer graphics, focusing from the mid 90’s on the automatic construction of 3D models of still and dynamic scenes, their analysis and transmission. He is the author of more than seventy journal papers and 3 books. He has been the (co-)recipient of Italian, and international research and industry grants and holds a few industrial patents.
Publications
2016
Operating Principles of Time-of-Flight Depth Cameras Journal Article
In: Time-of-Flight and Structured Light Depth Cameras: Technology and Applications, pp. 81–113, 2016.
Human Pose Estimation and Tracking Journal Article
In: Time-of-Flight and Structured Light Depth Cameras: Technology and Applications, pp. 253–292, 2016.
Gesture Recognition Journal Article
In: Time-of-Flight and Structured Light Depth Cameras: Technology and Applications, pp. 293–347, 2016.
Data fusion from depth and standard cameras Journal Article
In: Time-of-Flight and Structured Light Depth Cameras: Technology and Applications, pp. 161–196, 2016.
3D scene reconstruction from depth camera data Journal Article
In: Time-of-Flight and Structured Light Depth Cameras: Technology and Applications, pp. 231–251, 2016.
Time-of-flight and structured light depth cameras Journal Article
In: Technology and Applications, pp. 978–3, 2016.
Calibration Journal Article
In: Time-of-Flight and Structured Light Depth Cameras: Technology and Applications, pp. 117–159, 2016.
Scene segmentation assisted by depth data Journal Article
In: Time-of-Flight and Structured Light Depth Cameras: Technology and Applications, pp. 199–230, 2016.
Operating principles of structured light depth cameras Journal Article
In: Time-of-Flight and Structured Light Depth Cameras: Technology and Applications, pp. 43–79, 2016.
Gesture Recognition Journal Article
In: Time-of-Flight and Structured Light Depth Cameras: Technology and Applications, pp. 293–347, 2016.
Calibration Journal Article
In: Time-of-Flight and Structured Light Depth Cameras: Technology and Applications, pp. 117–159, 2016.
Time-of-flight and structured light depth cameras Journal Article
In: Technology and Applications, pp. 978–3, 2016.
3D scene reconstruction from depth camera data Journal Article
In: Time-of-Flight and Structured Light Depth Cameras: Technology and Applications, pp. 231–251, 2016.
Data fusion from depth and standard cameras Journal Article
In: Time-of-Flight and Structured Light Depth Cameras: Technology and Applications, pp. 161–196, 2016.
Operating Principles of Time-of-Flight Depth Cameras Journal Article
In: Time-of-Flight and Structured Light Depth Cameras: Technology and Applications, pp. 81–113, 2016.
Operating principles of structured light depth cameras Journal Article
In: Time-of-Flight and Structured Light Depth Cameras: Technology and Applications, pp. 43–79, 2016.
Scene segmentation assisted by depth data Journal Article
In: Time-of-Flight and Structured Light Depth Cameras: Technology and Applications, pp. 199–230, 2016.
Human Pose Estimation and Tracking Journal Article
In: Time-of-Flight and Structured Light Depth Cameras: Technology and Applications, pp. 253–292, 2016.
3D scanning of cultural heritage with consumer depth cameras Journal Article
In: Multimedia Tools and Applications, vol. 75, pp. 3631–3654, 2016.
3D scanning of cultural heritage with consumer depth cameras Journal Article
In: Multimedia Tools and Applications, vol. 75, pp. 3631–3654, 2016.
2015
Probabilistic tof and stereo data fusion based on mixed pixels measurement models Journal Article
In: IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 37, no. 11, pp. 2260–2272, 2015.
Probabilistic tof and stereo data fusion based on mixed pixels measurement models Journal Article
In: IEEE transactions on pattern analysis and machine intelligence, vol. 37, no. 11, pp. 2260–2272, 2015.
2013
Handheld scanning with 3D cameras Proceedings Article
In: 2013 IEEE 15th International Workshop on Multimedia Signal Processing (MMSP), pp. 367–372, IEEE 2013.
Hand gesture recognition with depth data Proceedings Article
In: Proceedings of the 4th ACM/IEEE international workshop on Analysis and retrieval of tracked events and motion in imagery stream, pp. 9–16, 2013.
Hand gesture recognition with depth data Proceedings Article
In: Proceedings of the 4th ACM/IEEE international workshop on Analysis and retrieval of tracked events and motion in imagery stream, pp. 9–16, 2013.
Handheld scanning with 3D cameras Proceedings Article
In: 2013 IEEE 15th International Workshop on Multimedia Signal Processing (MMSP), pp. 367–372, IEEE 2013.
Noise reduction in muon tomography for detecting high density objects Journal Article
In: Journal of Instrumentation, vol. 8, no. 12, pp. P12007, 2013.
Noise reduction in muon tomography for detecting high density objects Journal Article
In: Journal of Instrumentation, vol. 8, no. 12, pp. P12007, 2013.
TOF cameras and stereo systems: comparison and data fusion Journal Article
In: TOF Range-Imaging Cameras, pp. 177–202, 2013.
Edge-preserving interpolation of depth data exploiting color information Journal Article
In: annals of telecommunications-annales des télécommunications, vol. 68, pp. 597–613, 2013.
Combining color and shape descriptors for 3D model retrieval Journal Article
In: Signal Processing: Image Communication, vol. 28, no. 6, pp. 608–623, 2013.
Edge-preserving interpolation of depth data exploiting color information Journal Article
In: annals of telecommunications-annales des télécommunications, vol. 68, pp. 597–613, 2013.
Combining color and shape descriptors for 3D model retrieval Journal Article
In: Signal Processing: Image Communication, vol. 28, no. 6, pp. 608–623, 2013.
TOF cameras and stereo systems: comparison and data fusion Journal Article
In: TOF Range-Imaging Cameras, pp. 177–202, 2013.
2012
Locally Consistent ToF and Stereo Data Fusion. Proceedings Article
In: ECCV Workshops (1), pp. 598–607, 2012.
Handheld scanning with ToF sensors and cameras Book Section
In: Proceedings of STDAY2012, 2012.
Locally Consistent ToF and Stereo Data Fusion. Proceedings Article
In: ECCV Workshops (1), pp. 598–607, 2012.
Handheld scanning with ToF sensors and cameras Book Section
In: Proceedings of STDAY2012, 2012.
Coding Applications Proceedings Article
In: Noblesse Workshop on Non-Linear Model Based Image Analysis: Proceedings of NMBIA, 1–3 July 1998, Glasgow, pp. 309, Springer Science & Business Media 2012.
Calibration Journal Article
In: Time-of-Flight Cameras and Microsoft Kinect™, pp. 49–68, 2012.
Fusion of Depth Data with Standard Cameras Data Journal Article
In: Time-of-Flight Cameras and Microsoft Kinect™, pp. 69–91, 2012.
Scene segmentation and video matting assisted by depth data Journal Article
In: Time-of-Flight Cameras and Microsoft Kinect™, pp. 93–105, 2012.
Time-of-flight cameras and Microsoft KinectTM Miscellaneous
2012.
Fusion of geometry and color information for scene segmentation Journal Article
In: IEEE Journal of Selected Topics in Signal Processing, vol. 6, no. 5, pp. 505–521, 2012.
Time-of-flight cameras and Microsoft KinectTM Miscellaneous
2012.
Fusion of geometry and color information for scene segmentation Journal Article
In: IEEE Journal of Selected Topics in Signal Processing, vol. 6, no. 5, pp. 505–521, 2012.
Fusion of Depth Data with Standard Cameras Data Journal Article
In: Time-of-Flight Cameras and Microsoft Kinect™, pp. 69–91, 2012.
Scene segmentation and video matting assisted by depth data Journal Article
In: Time-of-Flight Cameras and Microsoft Kinect™, pp. 93–105, 2012.
Time-of-flight cameras and microsoft kinect (TM) Miscellaneous
2012.
Calibration Journal Article
In: Time-of-Flight Cameras and Microsoft Kinect™, pp. 49–68, 2012.