Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Manfred Klopschitz"'
Publikováno v:
Journal of Imaging, Vol 7, Iss 2, p 21 (2021)
Many scientific studies deal with person counting and density estimation from single images. Recently, convolutional neural networks (CNNs) have been applied for these tasks. Even though often better results are reported, it is often not clear where
Externí odkaz:
https://doaj.org/article/c7a2a17eb4f24cfbb473dd84a9204328
Autor:
Werner Bailer, Hermann Fürntratt, Manfred Klopschitz, Dominik Lampel, Roman Lesjak, Matthias Rüther, Susanne Schweitzer, Gerald Steinbauer-Wagner
Publikováno v:
Advances in Service and Industrial Robotics ISBN: 9783031048692
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::138582630627a198d727a06de47b7ffb
https://doi.org/10.1007/978-3-031-04870-8_54
https://doi.org/10.1007/978-3-031-04870-8_54
Autor:
Laura Fritz, Gerhard Paar, Daniel Kup, Andrea Pellacani, Christoph Traxler, Rebecca Nowak, Manfred Klopschitz, Philipp Hafner, Maria del Pilar Caballo Perucha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::73ea9a3ca273283f7e65b053fd70e8ed
https://doi.org/10.5194/epsc2021-73
https://doi.org/10.5194/epsc2021-73
Autor:
Gerhard Paar, Christoph Traxler, Piluca Caballo Perucha, Arnold Bauer, Manfred Klopschitz, Laura Fritz, Rebecca Nowak, Jorge Ocón Alonso
1 Introduction & Scope 3D vision (mapping, localization, navigation, science target recognition etc.) using Planetary Rover imaging requires high-level test assets, including a “ground truth” against which the processing results (rover locations,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0f8c98ecd1563186e2d08ea1f1210b9a
https://doi.org/10.5194/epsc2021-21
https://doi.org/10.5194/epsc2021-21
Autor:
Peter M. Roth, Thomas Schnsbel, Mario Theuermann, Manfred Klopschitz, Roland Perko, Alexander Almer
Publikováno v:
IGARSS
Generic object density estimation and counting plays an important role in various remote sensing applications. Therefore, this work discusses available Earth observation based datasets for both tasks. Critical aspects of the current evaluation protoc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8575c266c7d3040e5a3b1d8216790f42
https://doi.org/10.1109/igarss47720.2021.9553934
https://doi.org/10.1109/igarss47720.2021.9553934
Publikováno v:
Journal of Imaging, Vol 7, Iss 21, p 21 (2021)
Journal of Imaging
Volume 7
Issue 2
Journal of Imaging
Volume 7
Issue 2
Many scientific studies deal with person counting and density estimation from single images. Recently, convolutional neural networks (CNNs) have been applied for these tasks. Even though often better results are reported, it is often not clear where
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::46c053870c7458bc959c1ef90e0635c1
https://www.mdpi.com/2313-433X/7/2/21
https://www.mdpi.com/2313-433X/7/2/21
Autor:
Christoph Traxler, Philipp Hafner, Laura Fritz, Gerhard Paar, Rebecca Nowak, Andrea Pellacani, Manfred Klopschitz, Maria del Pilar Caballo Perucha
The AIDA (Asteroid Impact Deflection Assessment) mission involves DART (Double Asteroid Redirection Test) and Hera spacecraft. DART is led by the NASA and will impact the smaller body of Didymos, a binary asteroid. HERA [1], on the other hand, is a E
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::df6240132f7ca4d1587a27dd389027bb
https://doi.org/10.5194/epsc2020-123
https://doi.org/10.5194/epsc2020-123
Autor:
Gordana Djuras, Matthias Rüther, Ulrike Kleb, Stefan Ladstätter, Roman Lesjak, Agnes Rita Koller, Manfred Klopschitz, Richard Ladstädter
Publikováno v:
Proceedings of the 32nd International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2019).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c76b9f6ddf8125b7a2f274ae617938e6
https://doi.org/10.33012/2019.16919
https://doi.org/10.33012/2019.16919
Publikováno v:
ISPA
Active consumer grade depth sensors have motivated recent research on volumetric depth map fusion. This led to the development of new, efficient, video-rate integration and tracking methods. These approaches still suffer from the geometric inaccuraci
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2eab3bb6e53386e49f53838af5c19131
https://doi.org/10.1109/ispa.2017.8073579
https://doi.org/10.1109/ispa.2017.8073579
Publikováno v:
Computer Vision and Image Understanding. 116:2-15
The goal of our work is to incrementally reconstruct terrestrial city models from standard digital camera images contributed by multiple users. Hence, the Wiki principle well known from textual knowledge databases is transferred to 3D computer vision
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a406ca83880c73f06cf3dee1dc644659
https://doi.org/10.1016/j.cviu.2011.07.010
https://doi.org/10.1016/j.cviu.2011.07.010