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Designing a Highly Immersive Interactive Environment: The Virtual Mine

L. P. Soares, F. Pires, R. Varela, R. Bastos, N. Carvalho, F. Gaspar, M. S. Dias
2010 Computer graphics forum (Print)  
To achieve a full-scale simulation of a pyrite mine, a highly immersive environment becomes necessary and this research has led to a complex system enabling users to walk through a virtual mine in real  ...  To achieve our purposes, distributed algorithms were developed to run in a cluster solution that drives a four-sided CAVE-like environment.  ...  This solution is part of  ... 
doi:10.1111/j.1467-8659.2010.01656.x fatcat:534osp6enjds7lgrqsbp7nnaym

SW-Context: a model to improve developers' situational awareness

Kleinner Farias, Leandro D Avila, Jorge Barbosa
2020 IET Software  
SW-Context was evaluated through a case study in industry, in which 12 developers used it to support maintenance activities throughout one month.  ...  The proposed model provides qualitative information concerning source code and design issues to support the daily activities of software developers, thereby improving their situation awareness.  ...  It considers as structural context the same artefact elements of task context; however, the usage of this kind of context is to suggest code samples to a developer by querying a repository to find similar  ... 
doi:10.1049/iet-sen.2018.5156 fatcat:kak7xgvsnjb3rb6yszkkqie4fi

User, metric, and computational evaluation of foveated rendering methods

Nicholas T. Swafford, José A. Iglesias-Guitian, Charalampos Koniaris, Bochang Moon, Darren Cosker, Kenny Mitchell
2016 Proceedings of the ACM Symposium on Applied Perception - SAP '16  
Well known 102 perceptually informed metrics such as Structural Similarity Index 103 (SSIM) [Wang et al. 2004] and more recently HDR Visual Differ-104 ence Predictor (HDR-VDP2) [Mantiuk et al. 2011] perform  ...  Figure 1 : Left: Our foveated resolution method running on a commercial video game engine. Right: Our foveated resolution, ambient occlusion, tessellation, and ray-casting (respectively) methods.  ...  Tsai and Liu [2014] intro- 120 duce their own window-based foveated implementation of Struc- 121 tural Similarity Index (SSIM) using image saliency.  ... 
doi:10.1145/2931002.2931011 dblp:conf/apgv/SwaffordGKMCM16 fatcat:kkq46j5su5dnbf5od5syvizaaq

Deepwater Archaeological Survey: An Interdisciplinary and Complex Process [chapter]

Pierre Drap, Odile Papini, Djamal Merad, Jérôme Pasquet, Jean-Philip Royer, Mohamad Motasem Nawaf, Mauro Saccone, Mohamed Ben Ellefi, Bertrand Chemisky, Julien Seinturier, Jean-Christophe Sourisseau, Timmy Gambin (+1 others)
2019 Management-Reihe Corporate Social Responsibility  
Towards more automation, we present a new method that adopts a deep learning approach for the detection and the recognition of objects of interest, amphorae for example.  ...  In order to provide more readable, direct and clearer illustrations, we describe several techniques that generate different styles of sketches out of orthophotos developed using neural networks.  ...  We would like to thank the artist Cosette Nigon for providing sketches in the deep learning, style transfer approach (Fig. 9.4) .  ... 
doi:10.1007/978-3-030-03635-5_9 fatcat:376nb5jzuvdprmqkxzeb32z6zq

ShadingNet: Image Intrinsics by Fine-Grained Shading Decomposition [article]

Anil S. Baslamisli, Partha Das, Hoang-An Le, Sezer Karaoglu, Theo Gevers
2021 arXiv   pre-print
An end-to-end deep convolutional neural network (ShadingNet) is proposed that operates in a fine-to-coarse manner with a specialized fusion and refinement unit exploiting the fine-grained shading model  ...  Therefore, in this paper, we propose to decompose the shading component into direct (illumination) and indirect shading (ambient light and shadows) subcomponents.  ...  The scenes are extracted from the Grand Theft Auto V game (Krahenbuhl, 2018) . The scenes are rendered by a special game engine called Rockstar Advanced Game Engine (RAGE).  ... 
arXiv:1912.04023v3 fatcat:c2q6t3spczgy7pi4i3ud3bgtzi

ShadingNet: Image Intrinsics by Fine-Grained Shading Decomposition

Anil S. Baslamisli, Partha Das, Hoang-An Le, Sezer Karaoglu, Theo Gevers
2021 International Journal of Computer Vision  
An end-to-end deep convolutional neural network (ShadingNet) is proposed that operates in a fine-to-coarse manner with a specialized fusion and refinement unit exploiting the fine-grained shading model  ...  Therefore, in this paper, we propose to decompose the shading component into direct (illumination) and indirect shading (ambient light and shadows) subcomponents.  ...  The authors would like to thank the anonymous reviewers for their valuable comment. Delcarations Conflict of interest The authors declare they have no conflict of interest.  ... 
doi:10.1007/s11263-021-01477-5 fatcat:c2p5ktsjovgvnoqk6ezvvd2qk4

From QoS to QoE: A Tutorial on Video Quality Assessment

Yanjiao Chen, Kaishun Wu, Qian Zhang
2015 IEEE Communications Surveys and Tutorials  
In this article, we give a comprehensive survey of the evolution of video quality assessment methods, analyzing their characteristics, advantages and drawbacks.  ...  To avoid high cost and offline nature of such tests, objective quality models are developed to predict QoE based on objective QoS parameters, but it is still an indirect way to estimate QoE.  ...  In the engineering approach, we further introduce models based on video artefacts, natural scene statistics (NSS) and structural similarity (SSIM). 1) Pixel based Models: Two most basic objective quality  ... 
doi:10.1109/comst.2014.2363139 fatcat:x2wkpi6qercrliiogl74tvmyni

Interdisciplinary Methodology to Extend Technology Readiness Levels in SONAR Simulation from Laboratory Validation to Hydrography Demonstrator

James Riordan, Francis Flannery, Daniel Toal, Matija Rossi, Gerard Dooly
2019 Journal of Marine Science and Engineering  
To meet the distinct challenges of acceptance tests at each level in the TRL scale, critical knowledge is incorporated from different branches of science, engineering, project management, and pedagogy.  ...  The contributions to simulator performance and usability at each level of advancement are presented, culminating in the first case study demonstration of SONAR simulation as a real-world hydrographic training  ...  The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to publish the results.  ... 
doi:10.3390/jmse7050159 fatcat:mbehnhm7ina65jiglyftpxbe64

The Psychophysiology Primer: A Guide to Methods and a Broad Review with a Focus on Human–Computer Interaction

Benjamin Cowley, Marco Filetti, Kristian Lukander, Jari Torniainen, Andreas Henelius, Lauri Ahonen, Oswald Barral, Ilkka Kosunen, Teppo Valtonen, Minna Huotilainen, Niklas Ravaja, Giulio Jacucci
2016 Foundations and Trends® in Human–Computer Interaction  
BC co-ordinated contributions; designed the paper structure; acted as internal editor; wrote chapters 1 and 2 and sections 3.2 and 4.1; contributed to sections 3.3, 3.4, 3.5, 3.6; and peer-reviewed sections  ...  Acknowledgments The work was supported in part by the Finnish Funding Agency for Innovation (project Re:Know, No. 5159/31/2014).  ...  Similar research involved a multimodal system employing EEG, ECG, and EMG, which was tested by CAD engineers.  ... 
doi:10.1561/1100000065 fatcat:2hpkqxxtyfg5nhb3canmxg6shy

deepNIR: Datasets for generating synthetic NIR images and improved fruit detection system using deep learning techniques [article]

Inkyu Sa, JongYoon Lim, Ho Seok Ahn, Bruce MacDonald
2022 arXiv   pre-print
Among these breakthroughs, a high-quality dataset is one of the essential building blocks that can lead to success in model generalisation and the deployment of data-driven deep neural networks.  ...  The total number of bounding box instances of the dataset is 162k and it is ready to use from cloud service.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
arXiv:2203.09091v1 fatcat:mxaorhkelrff5ac63ccpnelzbu

Review of Three-Dimensional Human-Computer Interaction with Focus on the Leap Motion Controller

Daniel Bachmann, Frank Weichert, Gerhard Rinkenauer
2018 Sensors  
Template matching means that a prototype (template) of the pattern to detect is available. Similarity measures between the pattern to recognise and the template are represented by statistical models.  ...  Thereby, the communication channels will be structured in four specific fields: • actuators: output signal of the human user • input-devices/sensors: channel of signals to the HMI-system • senses: sensory  ...  Author Contributions: All authors contributed extensively to the work presented in this paper.  ... 
doi:10.3390/s18072194 pmid:29986517 pmcid:PMC6068627 fatcat:x527tlhyzjdjpdrlsppwgm57m4

deepNIR: Datasets for Generating Synthetic NIR Images and Improved Fruit Detection System Using Deep Learning Techniques

Inkyu Sa, Jongyoon Lim, Hoseok Ahn, Bruce MacDonald
2022 Sensors  
A high-quality dataset is one of the essential building blocks that can lead to success in model generalisation and the deployment of data-driven deep neural networks.  ...  The total number of bounding box instances of the dataset is 162kand it is ready to use from a cloud service.  ...  Acknowledgments: We would like to thank nirscene and SEN12MS's public datasets and Kaggle and Roboflow for their assistance in hosting the fruit bounding box dataset.  ... 
doi:10.3390/s22134721 fatcat:fflaityzn5hrpm3jfmi6u227p4

Gravitate Project D3.1 Report On Shape Analysis And Matching And On Semantic Matching

Silvia Biasotti, Andrea Cerri, Chiara Catalano E., Bianca Falcidieno, Maria Laura Torrente, Stuart Middleton E., Leo Dorst, Ilan Shimshoni, Ayellet Tal, Dominic Oldman
2016 Zenodo  
This state of the art report describes the techniques of shape analysis, and of metadata search that have been already implemented in cultural heritage or we think are useful for the GRAVITATE project.  ...  These fields are relatively disjoint, and the research and development challenge of GRAVITATE is precisely to merge them.  ...  or not quantitatively relevant since they may be merely used as input to realistic 3D gaming engines.  ... 
doi:10.5281/zenodo.55432 fatcat:tc3rsykiufezxeper7ldew2ibu

A Photogrammetry-Based Workflow for the Accurate 3D Construction and Visualization of Museums Assets

Fabrizio Ivan Apollonio, Filippo Fantini, Simone Garagnani, Marco Gaiani
2021 Remote Sensing  
Nowadays digital replicas of artefacts belonging to the Cultural Heritage (CH) are one of the most promising innovations for museums exhibitions, since they foster new forms of interaction with collections  ...  , preservation, communication and restoration of CH artefacts.  ...  Acknowledgments: Authors would like to thank the Sistema Museale di Ateneo (SMA) of University of Bologna, which gave us access to the artifacts of its collections, in particular the Director Roberto Balzani  ... 
doi:10.3390/rs13030486 fatcat:we2qqvtaorebng2ok2gl5r5nbq

. Social Robots For Reinforcing Attention And Forming Emotional Knowledge Of Children With Special Educational Needs

Lekova A, Tanev T, Vassileva-Aleksandrova V, S. Kostova, P. Dachkinov
2019 Zenodo  
This study marks a first step towards the way of utilizing the advantages of educational theater in Social Robotics in order to transfer the emotional talent of an actor to an emotion-expressive robot.  ...  Since the attention or emotional responses of children with SEN make robots to act, these skills are naturally reinforced in the play. Two research protocols based on this idea are presented.  ...  Artefacts in EEG signals arising from head movements are categorized by automatically detecting their presence through inspection of the gyroscope waveforms.  ... 
doi:10.5281/zenodo.3518978 fatcat:p27vqveijbaztpivjkjbl4667y
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