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Selected Papers from the Computer Graphics & Visual Computing (CGVC...
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Selected Papers from the Computer Graphics & Visual Computing (CGVC 2018)

A special issue of Computers (ISSN 2073-431X).

Deadline for manuscript submissions: closed (15 January 2019) | Viewed by 32265

Special Issue Editors

Dr. Robert S. Laramee

E-Mail Website
Guest Editor
School of Computer Science, University of Nottingham, Nottingham NG8 1BB, UK
Interests: data visualization; scientific visualization; information visualization; visual analytics
Special Issues, Collections and Topics in MDPI journals
Dr. Gary KL Tam

E-Mail Website
Guest Editor
Department of Computer Science, College of Science, Swansea University, Singleton Park, Swansea SA2 8PP, UK
Interests: visual analytics; machine learning; digital geometry processing; pattern recognition and vision; multi-dimensional data analysis; information retrieval and indexing
Special Issues, Collections and Topics in MDPI journals
Dr. Franck P. Vidal

E-Mail Website
Guest Editor
School of Computer Science and Electronic Engineering, Bangor University, Dean Street, Bangor LL57 1UT, Gwynedd, UK
Interests: medical imaging (X-ray imaging, CT, positron emission tomography, ultrasound, MRI); evolutionary algorithms; inverse problems; computer graphics; GPU programming; image and signal processing
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Computer Graphics & Visual Computing (CGVC) 2018, hosted by Swansea University in the UK, 13–14 September, 2018, is the 36th annual gathering on computer graphics, visualization, and visual computing, organized by the Eurographics UK Chapter. For more information about the conference please use this link: http://www.eguk.org.uk/CGVC2018/.

Selected papers that are presented at the conference are invited to be submitted as extended versions to this Special Issue of the journal Computers after the conference. Submitted papers should be extended to the size of regular research or review articles, with a 50% extension of new results. All submitted papers will undergo a standard peer-review procedure. Accepted papers will be published in open access format in Computers and will be collected on this Special Issue website. There are no page/publication charges for this Special Issue.

Please prepare and format your paper according to the Instructions for Authors. Use the LaTeX or Microsoft Word template file of the journal (both are available from the Instructions for Authors page). Manuscripts should be submitted online via our susy.mdpi.com editorial system.

Dr. Robert S. Laramee
Dr. Gary KL Tam
Dr. Franck P. Vidal
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Computers is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

Computer Graphics & Visual Computing (CGVC) 2018, hosted by Swansea University in the UK, 13–14 September, 2018, is the 36th annual gathering on computer graphics, visualization, and visual computing, organized by the Eurographics UK Chapter. For more information about the conference please use this link: http://www.eguk.org.uk/CGVC2018/.

Selected papers that are presented at the conference are invited to be submitted as extended versions to this Special Issue of the journal Computers after the conference. Submitted papers should be extended to the size of regular research or review articles, with a 50% extension of new results. All submitted papers will undergo a standard peer-review procedure. Accepted papers will be published in open access format in Computers and will be collected on this Special Issue website. There are no page/publication charges for this Special Issue.

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Published Papers (4 papers)

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21 pages, 62249 KiB  
Article
Enhanced Shadow Retargeting with Light-Source Estimation Using Flat Fresnel Lenses
by Llogari Casas Cambra, Matthias Fauconneau, Maggie Kosek, Kieran Mclister and Kenny Mitchell
Computers 2019, 8(2), 29; https://doi.org/10.3390/computers8020029 - 2 Apr 2019
Cited by 2 | Viewed by 7453
Abstract
Shadow-retargeting maps depict the appearance of real shadows to virtual shadows given corresponding deformation of scene geometry, such that appearance is seamlessly maintained. By performing virtual shadow reconstruction from unoccluded real-shadow samples observed in the camera frame, this method efficiently recovers deformed shadow [...] Read more.
Shadow-retargeting maps depict the appearance of real shadows to virtual shadows given corresponding deformation of scene geometry, such that appearance is seamlessly maintained. By performing virtual shadow reconstruction from unoccluded real-shadow samples observed in the camera frame, this method efficiently recovers deformed shadow appearance. In this manuscript, we introduce a light-estimation approach that enables light-source detection using flat Fresnel lenses that allow this method to work without a set of pre-established conditions. We extend the adeptness of this approach by handling scenarios with multiple receiver surfaces and a non-grounded occluder with high accuracy. Results are presented on a range of objects, deformations, and illumination conditions in real-time Augmented Reality (AR) on a mobile device. We demonstrate the practical application of the method in generating otherwise laborious in-betweening frames for 3D printed stop-motion animation. Full article
(This article belongs to the Special Issue Selected Papers from the Computer Graphics & Visual Computing (CGVC 2018))
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21 pages, 16961 KiB  
Article
An Evaluation Approach for a Physically-Based Sticky Lip Model †
by Matthew Leach and Steve Maddock
Computers 2019, 8(1), 24; https://doi.org/10.3390/computers8010024 - 8 Mar 2019
Cited by 2 | Viewed by 9145
Abstract
Physically-based mouth models operate on the principle that a better mouth animation will be produced by simulating physically accurate behaviour of the mouth. In the development of these models, it is useful to have an evaluation approach which can be used to judge [...] Read more.
Physically-based mouth models operate on the principle that a better mouth animation will be produced by simulating physically accurate behaviour of the mouth. In the development of these models, it is useful to have an evaluation approach which can be used to judge the effectiveness of a model and draw comparisons against other models and real-life mouth behaviour. This article presents a set of metrics which can be used to describe the motion of the lips, as well as a process for measuring these from video of real or simulated mouths, implemented using Python and OpenCV. As an example, the process is used to evaluate a physically-based mouth model focusing on recreating the stickiness effect of saliva between the lips. The metrics highlight the changes in behaviour due to the addition of stickiness between the lips in the synthetic mouth model and show quantitatively improved behaviour in relation to real mouth movements. The article concludes that the presented metrics provide a useful approach for evaluation of mouth animation models that incorporate sticky lip effects. Full article
(This article belongs to the Special Issue Selected Papers from the Computer Graphics & Visual Computing (CGVC 2018))
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18 pages, 4330 KiB  
Article
SoS TextVis: An Extended Survey of Surveys on Text Visualization
by Mohammad Alharbi and Robert S. Laramee
Computers 2019, 8(1), 17; https://doi.org/10.3390/computers8010017 - 20 Feb 2019
Cited by 37 | Viewed by 8193
Abstract
Text visualization is a rapidly growing sub-field of information visualization and visual analytics. There are many approaches and techniques introduced every year to address a wide range of challenges and analysis tasks, enabling researchers from different disciplines to obtain leading-edge knowledge from digitized [...] Read more.
Text visualization is a rapidly growing sub-field of information visualization and visual analytics. There are many approaches and techniques introduced every year to address a wide range of challenges and analysis tasks, enabling researchers from different disciplines to obtain leading-edge knowledge from digitized collections of text. This can be challenging particularly when the data is massive. Additionally, the sources of digital text have spread substantially in the last decades in various forms, such as web pages, blogs, twitter, email, electronic publications, and digitized books. In response to the explosion of text visualization research literature, the first text visualization survey article was published in 2010. Furthermore, there are a growing number of surveys that review existing techniques and classify them based on text research methodology. In this work, we aim to present the first Survey of Surveys (SoS) that review all of the surveys and state-of-the-art papers on text visualization techniques and provide an SoS classification. We study and compare the 14 surveys, and categorize them into five groups: (1) Document-centered, (2) user task analysis, (3) cross-disciplinary, (4) multi-faceted, and (5) satellite-themed. We provide survey recommendations for researchers in the field of text visualization. The result is a very unique, valuable starting point and overview of the current state-of-the-art in text visualization research literature. Full article
(This article belongs to the Special Issue Selected Papers from the Computer Graphics & Visual Computing (CGVC 2018))
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21 pages, 8075 KiB  
Article
Feature-Rich, GPU-Assisted Scatterplots for Millions of Call Events
by Dylan Rees, Richard C. Roberts, Roberts S. Laramee, Paul Brookes, Tony D’Cruze and Gary A. Smith
Computers 2019, 8(1), 12; https://doi.org/10.3390/computers8010012 - 5 Feb 2019
Cited by 2 | Viewed by 6393
Abstract
The contact center industry represents a large proportion of many country’s economies. For example, 4% of the entire United States and UK’s working population is employed in this sector. As in most modern industries, contact centers generate gigabytes of operational data that require [...] Read more.
The contact center industry represents a large proportion of many country’s economies. For example, 4% of the entire United States and UK’s working population is employed in this sector. As in most modern industries, contact centers generate gigabytes of operational data that require analysis to provide insight and to improve efficiency. Visualization is a valuable approach to data analysis, enabling trends and correlations to be discovered, particularly when using scatterplots. We present a feature-rich application that visualizes large call center data sets using scatterplots that support millions of points. The application features a scatterplot matrix to provide an overview of the call center data attributes, animation of call start and end times, and utilizes both the CPU and GPU acceleration for processing and filtering. We illustrate the use of the Open Computing Language (OpenCL) to utilize a commodity graphics card for the fast filtering of fields with multiple attributes. We demonstrate the use of the application with millions of call events from a month’s worth of real-world data and report domain expert feedback from our industry partner. Full article
(This article belongs to the Special Issue Selected Papers from the Computer Graphics & Visual Computing (CGVC 2018))
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