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Towards Porting Astrophysics Visual Analytics Services in the European Open Science Cloud [chapter]

Eva Sciacca, Fabio Vitello, Ugo Becciani, Cristobal Bordiu, Filomena Bufano, Antonio Calanducci, Alessandro Costa, Mario Raciti, Simone Riggi
2020 Advances in Intelligent Systems and Computing  
learning techniques for detection of structures in large scale multidimensional maps.  ...  This work presents the ongoing activities related to the implementation of visual analytics services, integrated into EOSC, towards addressing the diverse astrophysics user communities needs.  ...  The extracted sources are then automatically classified with Deep Learning algorithms and the results are stored within the data user space, and optionally published for re-use by other users and/or to  ... 
doi:10.1007/978-3-030-52243-8_43 fatcat:z6hbhviitfeurgqi4e45zymogy


A. A. M. Nasir, S. Azri, U. Ujang
2021 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
With this approach, it is believed that an effective 3D asset management system can be developed in the future, to ensure adequate system performance and effective cost operational.  ...  We adopted the concept of occupied and unoccupied spaces to model the public hall, owned by Johor Bahru City Council (MBJB).  ...  The rooms in CityGML 3.0 is classified as unoccupied space in contract that building is an occupied spaces.  ... 
doi:10.5194/isprs-archives-xlvi-4-w5-2021-391-2021 fatcat:ofg4f6m4hbb4fbpnn73wqgfoyu


A. Adam, L. Grammatikopoulos, G. Karras, E. Protopapadakis, K. Karantzalos
2019 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
Our work describes a hybrid methodology for 3D semantic segmentation, relying both on 2D and 3D space and aiming at exploring whether image selection is critical as regards the accuracy of 3D semantic  ...  visual and geometric features have emerged, taking advantage of the progress in SfM/MVS algorithms that reconstruct point clouds from multiple overlapping images.  ...  There are quite a few studies that have combined segmentation in the 2D and 3D space, either by projecting the 3D space onto an image and applying segmentation in the 2D space, or by deploying segmentation  ... 
doi:10.5194/isprs-archives-xlii-2-w17-9-2019 fatcat:zlrcso3c5necrhnrhnjt2xaxgi


A. Abdul Rahman, H. Rashidan, I. A. Musliman, G. Buyuksalih, S. Bayburt, P. Baskaraca
2019 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
Two issues were also highlighted in the paper with respect to 3D attributes linkages and 3D complex objects.  ...  Terrain and attributes data retrieval are based on Web Feature Service (WFS) whereas 3D models were visualized via 3D Tiles format in Cesium platform.  ...  In a steady shift from traditional 2D GIS toward 3D GIS, a great amount of accurate 3D city models has become necessary to be produced in a short period of time and provided widely on the market.  ... 
doi:10.5194/isprs-archives-xlii-4-w16-11-2019 fatcat:2j6mqlrxdvfdrhol4vvp72ncuy

Towards Individual Grevy's Zebra Identification via Deep 3D Fitting and Metric Learning [article]

Maria Stennett, Daniel I. Rubenstein, Tilo Burghardt
2022 arXiv   pre-print
the conceptual and practical foundations for a next step in animal biometrics towards deep metric learning driven, fully 3D-aware animal identification in open population settings.  ...  of the learned biometric population space.  ...  Novel images projected into this space can be classified by k-nearest neighbour techniques, resulting in zebra identities.  ... 
arXiv:2206.02261v3 fatcat:uvtgl7anovh5zphb7kvylajksq

Visual Tactics Toward an Ethical Debugging

Catherine Griffiths, Mediarep, Philipps Universität Marburg
2020 Digital Culture & Society  
the black box and obfuscation of machine learning and work toward an ethical debugging of biases in such systems.  ...  There are rising ethical dilemmas that are a consequence of the use of machine learning algorithms in socially sensitive spaces, such as in determining criminal sentencing, job performance, or access to  ...  The decision tree classifier was generated in Python using the scikit-learn library, and rebuilt from a text file into a 3D interactive and animated simulation in Unity, a game engine.  ... 
doi:10.25969/mediarep/13533 fatcat:23ea4y36ozfnvht32s6qkzmcva

Underground Land Administration from 2D to 3D: Critical Challenges and Future Research Directions

Bahram Saeidian, Abbas Rajabifard, Behnam Atazadeh, Mohsen Kalantari
2021 Land  
The development and use of underground space is a necessity for most cities in response to rapid urbanisation. Effective underground land administration is critical for sustainable urban development.  ...  To address these challenges, the authors of this study propose a new framework for 3D underground land administration.  ...  The authors also emphasise that the views expressed in this paper are the authors' alone. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/land10101101 fatcat:lwbcwnzb3ffrzditmj7pplwtqy

Feasibility study of 3D cadastre implementation using various data sources – the case of Warsaw subway
Analiza izvedljivosti vzpostavitve 3D-katastra iz različnih virov podatkov na primeru podzemne železnice v Varšavi

Marcin Karabin, Krzysztof Bakuła, Anna Fijałkowska, Magdalena Karabin-Zych
2018 Geodetski vestnik  
. / No. 3 | SI | EN cadastre, 3D cadastre, real property, 3D GIS, 3D spatial analysis, subway, building model kataster, 3D-kataster, nepremičnina, 3D GIS, 3D-prostorske analize, podzemna železnica, model  ...  There are high demands for 3D visualisation in Singapore's cadastre.  ...  After that they were visualised in ArcGIS.  ... 
doi:10.15292/geodetski-vestnik.2018.03.445-457 fatcat:rwn4bs44pngetby7yeqdyhl2oa

Visual Analytics of Complex Genomics Data to Guide Effective Treatment Decisions

Quang Nguyen, Nader Khalifa, Pat Alzamora, Andrew Gleeson, Daniel Catchpoole, Paul Kennedy, Simeon Simoff
2016 Journal of Imaging  
The framework consists of multiple components enabling the complete analytics supporting personalised medicines, including similarity space construction, automated analysis, visualisation, gene-to-gene  ...  In addition to the traditional way to visualise data, we utilise the Unity3D platform for developing a smooth and interactive visual presentation of the information.  ...  We initially visualise the entire patient population in the 3D similarity space using Java 3D programming language.  ... 
doi:10.3390/jimaging2040029 fatcat:npvraafuhbawpeuzmtfl6cfkta

Visualising the urban green volume: Exploring LiDAR voxels with tangible technologies and virtual models

K. Anderson, S. Hancock, S. Casalegno, A. Griffiths, D. Griffiths, F. Sargent, J. McCallum, D.T.C. Cox, K.J. Gaston
2018 Landscape and Urban Planning  
of visualising the complex spatial and volumetric structure of urban vegetation from the treetops to the ground.  ...  While urban planners and human geographers are conversant with methodologies for describing and exploring the volumetric nature of built spaces there is less research that has developed imaginative ways  ...  In this respect, we provide an open source code to process the voxel data, full details of which can be found in and at  ... 
doi:10.1016/j.landurbplan.2018.05.024 fatcat:lm5zpsgswfc2hoo6e6mz4bd6t4

The Concept of Three-Dimensional Visualisation of Urbanised Areas for a 3D Real Property Register in Poland

Przemysław Leń, Klaudia Maciąg, Michał Maciąg, Monika Mika, Justyna Wójcik-Leń
2022 Advances in Science and Technology Research Journal  
Virtual three-dimensional visualisations are a relatively new chapter in the history of terrain modelling in Poland.  ...  Based on their visualisations, the authors propose using data from local databases linked to nationwide digital geodetic resources for the needs of a 3D real property register.  ...  If some elevation points are not available, the shape of the escarpment in a 3D space will not be consistent with its cartographic contour.  ... 
doi:10.12913/22998624/152935 fatcat:spbz543idjg5ndfg7j4d6sycu4

A framework for machine learning based on dynamic physical fields

Dymitr Ruta, Bogdan Gabrys
2007 Natural Computing  
a unique visualisation of classification and classifier fusion models.  ...  Excellence of neural networks and kernel-based learning methods, an emergence of particle-, swarms-, and social behaviour-based optimisation methods are just few of many facts indicating a trend towards  ...  In our model the data still have to slide down the potential towards the source samples.  ... 
doi:10.1007/s11047-007-9064-6 fatcat:z5nlf4ysyfgy3oyyyufl3uuxkq

Information visualisation utilising 3D computer game engines case study

Blazej Kot, Burkhard Wuensche, John Grundy, John Hosking
2005 Proceedings of the 6th ACM SIGCHI New Zealand chapter's international conference on Computer-human interaction making CHI natural - CHINZ '05  
can be represented in terms of a limited number of discrete, interactive, and physical entities placed in a static 3-dimensional world of limited size.  ...  Based on this research a source code comprehension tool was implemented using the Quake 3 computer game engine.  ...  Another interesting 3D visualisation is ArchView [23] . Here, individual source code modules are represented by "LEGO blocks" floating in a 3D space.  ... 
doi:10.1145/1073943.1073954 dblp:conf/chinz/KotWGH05 fatcat:fv3ap34njrapfn6smuy7fjzjbu

Grand Challenges in Immersive Analytics

Barrett Ens, Benjamin Bach, Maxime Cordeil, Ulrich Engelke, Marcos Serrano, Wesley Willett, Arnaud Prouzeau, Christoph Anthes, Wolfgang Büschel, Cody Dunne, Tim Dwyer, Jens Grubert (+12 others)
2021 Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems  
Given the rapid advancement of interaction technologies and novel application domains, this paper aims toward a broader research agenda to enable widespread adoption.  ...  Immersive Analytics is a quickly evolving field that unites several areas such as visualisation, immersive environments, and humancomputer interaction to support human data analysis with emerging technologies  ...  ACKNOWLEDGEMENTS The authors in this paper are partially supported by the following grants: ANR JCJC PERFIN grant (ANR-  ... 
doi:10.1145/3411764.3446866 fatcat:byvz63jylzdvhn7tlbfj7v23hy

Visual Microfossil Identification via Deep Metric Learning [article]

Tayfun Karaderi, Tilo Burghardt, Allison Y. Hsiang, Jacob Ramaer, Daniela N. Schmidt
2022 arXiv   pre-print
We conclude that metric learning is highly effective for this domain and serves as an important tool towards expert-in-the-loop automation of microfossil identification.  ...  All foraminifer CNN recognition pipelines in the literature produce black-box classifiers that lack visualization options for human experts and cannot be applied to open-set problems.  ...  TK was supported by the UKRI CDT in Interactive Artificial Intelligence under the grant EP/S022937/1. AYH was supported by VR grant 2020-03515. DNS was supported by NERC grant NE/P019439/1.  ... 
arXiv:2112.09490v3 fatcat:qugxkqok3fhq7bseojsx5icu3q
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