The Robotic 3D Video Home Page
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Last update: Oct 14th, 2014
The Robotic 3D Video (R3D) project aims at establishing a bridge between current
robotics and 3D video. The reasons behind this are several and they can be summarized
in a nutshell by saying that, data capture, a major issue for 3D video and for some
applications of immersive reality, can benefit from the use of mobile and heterogeneous sensors
(either passive or active) and, on the other side, human-robot interaction, an emerging
issue for robotics, can benefit from 3D information. Such a synergy can be very powerful in many
On the practical side, the objective of this project is to build a system featuring an integrated
network of static sensors and of mobile sensors (mounted either on robotic arms or on mobile robots)
for the real-time extraction and exploitation of the 3D information of dynamic scenes.
The system will be mainly used within several intermingled applications:
photorealistic representation and transmission of 3D dynamic scenes;
smart robotic environments;
scene understanding and classification;
The 3D project involves people from the LTTM lab
and IAS lab
Department of Information Engineering
University of Padova
, Padova, Italy.
Papers published on proceedings
Milani, S., "Three-dimensional reconstruction from heterogeneous video devices with camera-in-view information," in
Image Processing (ICIP), 2015 IEEE International Conference on , vol., no., pp.2050-2054, 27-30 Sept. 2015 doi: 10.1109/ICIP.2015.7351161
Milani, S.; Zanuttigh, P., "Compression of photo collections using geometrical information," in Multimedia and Expo (ICME), 2015 IEEE International Conference on , vol., no., pp.1-6, June 29 2015-July 3 2015 doi: 10.1109/ICME.2015.7177379
- Zennaro, S.; Munaro, M.; Milani, S.; Zanuttigh, P.; Bernardi, A.; Ghidoni, S.; Menegatti, E., "Performance evaluation of the 1st and 2nd generation Kinect for multimedia applications," in Multimedia and Expo (ICME), 2015 IEEE International Conference on , vol., no., pp.1-6, June 29 2015-July 3 2015
G. Pozzato, S. Michieletto, E. Menegatti, F. Dominio, G. Marin, L. Minto, S. Milani, P. Zanuttigh, “Human-Robot Interaction with Depth-Based Gesture Recognition“, Proc. of IAS-13 – Workshop “Real Time Gesture Recognition for Human-Robot Interaction”, Padova, Italy, Jul. 2014.