Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Jacek Komorowski"'
Publikováno v:
IEEE Robotics and Automation Letters. 7:1079-1086
The 3D LiDAR place recognition aims to estimate a coarse localization in a previously seen environment based on a single scan from a rotating 3D LiDAR sensor. The existing solutions to this problem include hand-crafted point cloud descriptors (e.g.,
Autor:
Grzegorz Kurzejamski, Jacek Komorowski
The paper presents a multi-camera tracking method intended for tracking soccer players in long shot video recordings from multiple calibrated cameras installed around the playing field. The large distance to the camera makes it difficult to visually
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::97cd572d6f1ebe4809cfca5bca218ca9
http://arxiv.org/abs/2211.02125
http://arxiv.org/abs/2211.02125
This paper presents a robust end-to-end method for sports cameras extrinsic parameters optimization using a novel evolution strategy. First, we developed a neural network architecture for an edge or area-based segmentation of a sports field. Secondly
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::003d7caa77a2f2b01baf5fa9a33d5a16
The paper presents a deep neural network-based method for global and local descriptors extraction from a point cloud acquired by a rotating 3D LiDAR. The descriptors can be used for two-stage 6DoF relocalization. First, a course position is retrieved
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ae389142f7d2c659fa8459245655dd66
http://arxiv.org/abs/2110.12486
http://arxiv.org/abs/2110.12486
Publikováno v:
IJCNN
We introduce a discriminative multimodal descriptor based on a pair of sensor readings: a point cloud from a LiDAR and an image from an RGB camera. Our descriptor, named MinkLoc++, can be used for place recognition, re-localization and loop closure p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c2d587c489ad9904e13e67b70e42ea0a
http://arxiv.org/abs/2104.05327
http://arxiv.org/abs/2104.05327
Publikováno v:
VISIGRAPP (5: VISAPP)
Scopus-Elsevier
Scopus-Elsevier
Publikováno v:
Neural Information Processing ISBN: 9783030922696
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b6a1be9b3e0c8a1873cb964f283819c6
https://doi.org/10.1007/978-3-030-92270-2_39
https://doi.org/10.1007/978-3-030-92270-2_39
Autor:
Jacek Komorowski
Publikováno v:
WACV
The paper presents a learning-based method for computing a discriminative 3D point cloud descriptor for place recognition purposes. Existing methods, such as PointNetVLAD, are based on unordered point cloud representation. They use PointNet as the fi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a9a3da33de304105a862f050a358a41f
http://arxiv.org/abs/2011.04530
http://arxiv.org/abs/2011.04530
Autor:
Jacek Komorowski, Grzegorz Kurzejamski, Konrad Czarnota, Simon Lynen, Tomasz Trzcinski, Lukasz Dabala
Publikováno v:
Advanced Concepts for Intelligent Vision Systems ISBN: 9783030406042
ACIVS
ACIVS
In this paper, we present a framework for computing dense keypoint correspondences between images under strong scene appearance changes. Traditional methods, based on nearest neighbour search in the feature descriptor space, perform poorly when envir
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e463228e98b0fa3c13c56e8acc7238d8
https://doi.org/10.1007/978-3-030-40605-9_42
https://doi.org/10.1007/978-3-030-40605-9_42
Publikováno v:
MVA
The paper describes a deep network based system specialized for ball detection in long shot videos. System comprises of flexible detector and classical particle tracking. The core contribution is incorporation of hy-percolumn concept in the processin