Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Ludovico Minto"'
Publikováno v:
IET Computer Vision, Vol 11, Iss 8, Pp 633-642 (2017)
We present an approach for segmentation and semantic labelling of RGBD data exploiting together geometrical cues and deep learning techniques. An initial over‐segmentation is performed using spectral clustering and a set of non‐uniform rational B
Externí odkaz:
https://doaj.org/article/1e6fc1a549a4469fab5bbf65ad453312
Publikováno v:
Data in Brief, Vol 27, Iss , Pp - (2019)
Time-of-Flight (ToF) sensors and stereo vision systems are two of the most diffused depth acquisition devices for commercial and industrial applications. They share complementary strengths and weaknesses. For this reason, the combination of data acqu
Externí odkaz:
https://doaj.org/article/b9541a3673ec4edbb3073bfdfd4cc60b
Publikováno v:
Information Fusion. 49:161-173
Time-of-Flight (ToF) sensors and stereo vision systems are both capable of acquiring depth information but they have complementary characteristics and issues. A more accurate representation of the scene geometry can be obtained by fusing the two dept
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0395d73ae077a3bfe3f5b4ed8dd6f928
https://doi.org/10.1016/j.inffus.2018.11.006
https://doi.org/10.1016/j.inffus.2018.11.006
Publikováno v:
IET Computer Vision. 11:633-642
We present an approach for segmentation and semantic labelling of RGBD data exploiting together geometrical cues and deep learning techniques. An initial over-segmentation is performed using spectral clustering and a set of non-uniform rational B-spl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::56581861fffec61b3c95e6d8958c8f67
https://doi.org/10.1049/iet-cvi.2016.0502
https://doi.org/10.1049/iet-cvi.2016.0502
Publikováno v:
VISIGRAPP (5: VISAPP)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cffe707e13f412eeb904106f65b1b485
http://hdl.handle.net/11577/3276278
http://hdl.handle.net/11577/3276278
Autor:
Pietro Zanuttigh, Ludovico Minto
Publikováno v:
ICIP
This paper proposes a novel approach for the classification of 3D shapes exploiting deep learning techniques. The proposed algorithm starts by constructing a set of depth maps by rendering the input 3D shape from different viewpoints. Then the depth
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::452ced171c095d5ea914d6c8caa62861
https://doi.org/10.1109/icip.2017.8296956
https://doi.org/10.1109/icip.2017.8296956
Publikováno v:
ICCV Workshops
This paper proposes a novel framework for the fusion of depth data produced by a Time-of-Flight (ToF) camera and a stereo vision system. The key problem of balancing between the two sources of information is solved by extracting confidence maps for b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a6cdd8e1117dcdebd1abcc052f8b890f
http://hdl.handle.net/11577/3255782
http://hdl.handle.net/11577/3255782
Autor:
Pietro Zanuttigh, Giulio Marin, Carlo Dal Mutto, Fabio Dominio, Ludovico Minto, Guido Maria Cortelazzo
This book provides a comprehensive overview of the key technologies and applications related to new cameras that have brought 3D data acquisition to the mass market. It covers both the theoretical principles behind the acquisition devices and the pra
Autor:
Pietro Zanuttigh, Fabio Dominio, Giulio Marin, Carlo Dal Mutto, Guido M. Cortelazzo, Ludovico Minto
Publikováno v:
Time-of-Flight and Structured Light Depth Cameras ISBN: 9783319309712
All current ToF depth camera products in the market are based on the In-Pixel Photo-Mixing Devices technology. This chapter introduces operations of continuous wave homodyne amplitude modulation systems within In-Pixel devices both for sinusoidal and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::90d0110e431a138ce01236c98329340b
https://doi.org/10.1007/978-3-319-30973-6_3
https://doi.org/10.1007/978-3-319-30973-6_3
Publikováno v:
Advances in Face Detection and Facial Image Analysis ISBN: 9783319259567
In this chapter, we propose an ensemble of face detectors for maximizing the number of true positives found by the system. Unfortunately, combining different face detectors increases both the number of true positives and false positives. To overcome
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8e31cffe9f68e0adf68a2438ec9944fa
http://hdl.handle.net/11577/3214804
http://hdl.handle.net/11577/3214804