Zobrazeno 1 - 10
of 82
pro vyhledávání: '"Matteo Munaro"'
Publikováno v:
Applied Computing and Informatics, Vol 12, Iss 2, Pp 142-153 (2016)
An ensemble of approaches for reliable person re-identification is proposed in this paper. The proposed ensemble is built combining widely used person re-identification systems using different color spaces and some variants of state-of-the-art approa
Externí odkaz:
https://doaj.org/article/6195539e12974cac9069ee2edf5440e6
Publikováno v:
Robotics and Autonomous Systems. 156:104195
Autor:
Nishant Rai, Srinivas Rao, Stefan Johannes Josef Holzer, Matteo Munaro, Aidas Liaudanskas, Rodrigo Ortiz Cayon
Publikováno v:
CVPR Workshops
We propose a weakly-supervised multi-view learning approach to learn category-specific surface mapping without dense annotations. We learn the underlying surface geometry of common categories, such as human faces, cars, and airplanes, given instances
Publikováno v:
Robotics and Autonomous Systems. 110:151-159
In this work, we describe an approach for estimation and tracking of the skeleton of the human body from camera networks exploiting only depth data. The algorithm takes advantage of multiple views by building and merging together the 3D point clouds.
Autor:
Christian Richardt, Rodrigo Ortiz-Cayon, Srinivas Rao, Tobias Bertel, Stefan Johannes Josef Holzer, Matteo Munaro, Aidas Liaudanskas, Krunal Ketan Chande, J B Alexander, Abhishek Kar
Publikováno v:
Rao, S, Ortiz-Cayon, R, Munaro, M, Liaudanskas, A, Chande, K, Bertel, T, Richardt, C, Trevor, A J B, Holzer, S & Kar, A 2020, Free-Viewpoint Facial Re-Enactment from a Casual Capture . in SA '20 Posters: SIGGRAPH Asia 2020 Posters ., 37, Association for Computing Machinery, pp. 1-2, ACM SIGGRAPH Conference and Exhibition on Computer Graphics and Interactive Techniques in Asia, Online, Korea, Republic of, 4/12/20 . https://doi.org/10.1145/3415264.3425453
SIGGRAPH Asia 2020 Posters
SIGGRAPH Asia Posters
SIGGRAPH Asia 2020 Posters
SIGGRAPH Asia Posters
We propose a system for free-viewpoint facial re-enactment from a casual video capture of a target subject. Our system can render and re-enact the subject consistently in all the captured views. Furthermore, our system also enables interactive free-v
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7e70efa512ac03bd095e9dca323e5487
https://purehost.bath.ac.uk/ws/files/218008054/HoloBot_RaoEtAl_SA2020_Poster_Abstract.pdf
https://purehost.bath.ac.uk/ws/files/218008054/HoloBot_RaoEtAl_SA2020_Poster_Abstract.pdf
Autor:
Stefano Ghidoni, Silvia Gandin, Elisa Tosello, Marco Carraro, Morris Antonello, Nicola Bagarello, Nicola Castaman, Emanuele Menegatti, Roberto Bortoletto, Enrico Pagello, Matteo Munaro
This paper proposes RUR53: an Unmanned Ground Vehicle able to autonomously navigate through, identify, and reach areas of interest; and there recognize, localize, and manipulate work tools to perform complex manipulation tasks. The proposed contribut
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fb0871ace4f38ccca4ab0efb9792e6a8
http://hdl.handle.net/11577/3356080
http://hdl.handle.net/11577/3356080
Publikováno v:
Intelligent Autonomous Systems 15 ISBN: 9783030013691
IAS
IAS
This paper proposes a novel system to estimate and track the 3D poses of multiple persons in calibrated RGB-Depth camera networks. The multi-view 3D pose of each person is computed by a central node which receives the single-view outcomes from each c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0eef05ad25f66376783ac6be8499134c
https://doi.org/10.1007/978-3-030-01370-7_42
https://doi.org/10.1007/978-3-030-01370-7_42
Publikováno v:
Robotics and Autonomous Systems. 75:525-538
OpenPTrack is an open source software for multi-camera calibration and people tracking in RGB-D camera networks. It allows to track people in big volumes at sensor frame rate and currently supports a heterogeneous set of 3D sensors. In this work, we
Autor:
Matteo Munaro, Elena Cassani, Michela Landoni, Enrico Cantaluppi, Daniel Puglisi, Roberto Pilu, Luca Corno, Fabrizio Adani
Publikováno v:
Brazilian Journal of Botany. 39:275-285
The giant reed, Arundo donax L. (Poaceae), is a perennial plant species widespread almost all over the world. It is not only considered as an invasive plant, but it also represents one of the most promising energy crops because of its vegetative vigo
Publikováno v:
IROS
This paper presents a fast and robust multiple object tracking algorithm based on an RGB-D version of the MeanShift tracking algorithm and exploiting RGB-D camera networks when multiple RGB-D sensors are available. The original Mean-Shift algorithm h