Computer Graphics & Visual Computing (CGVC) 2021

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https://diglib.eg.org/handle/10.2312/2633082

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Browsing Computer Graphics & Visual Computing (CGVC) 2021 by Subject "Applied computing"

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    Design Guidelines for Virtual Neurological Procedures
    (The Eurographics Association, 2021) Mancosu, Mattia S.; Czanner, Silvester; Xu, Kai and Turner, Martin
    The role of technology has become more and more preponderant for educational purposes in schools, in universities and for training. It is also applied in healthcare and neurology training thanks to the proven effectiveness and the rising demand inside hospitals and medical schools. The necessity to outline design guidelines is increasing hand to hand with the aforementioned phenomenon. In this paper we will discuss some key aspects of a healthcare teaching application such as the fidelity of the learning environment, the target platform of the application with a particular focus on Virtual Reality, and the learning strategies that can be implemented within the program. We will also illustrate some results of our stroke assessment training application, where we proved the effectiveness of the proper implementation of some design aspects that we addressed inside the guidelines section.
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    Learning Activities in Colours and Rainbows for Programming Skill Development
    (The Eurographics Association, 2021) Roberts, Jonathan C.; Xu, Kai and Turner, Martin
    We present how we have created a series of bilingual (English and Welsh) STEM activities focusing on rainbows, colours, light and optical effects. The activities were motivated by the many rainbows that appeared in windows in the UK, in support of the National Health Service at the start of the coronavirus pandemic. Rainbows are hopeful and are very fitting to be used as a positive iconic image at a time of much uncertainty. In this paper we explain how we have developed and organised the activities, focusing on colours, computer graphics and computer programming. Each lesson contains one or more activities, which enable people to take an active role in their learning.We have carefully prepared and organised several processes to guide academic colleagues to create and publish different activities in the theme. Which means that the activities appear similarly structured, can be categorised and searched in a consistent way. This structure can act as a blueprint for others to follow and apply to develop their own online course. The activities incrementally take people through learning about colour, rainbows, planning what to program, design and strategies to create colourful pictures using simple computer graphics principles based in processing.org.
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    The University on Lincoln Island: Reimagining a University Campus as a Role-Playing Video Game
    (The Eurographics Association, 2021) Headleand, Christopher J.; Davies, Bethany; Threlfall, Danielle; Williams, Benjamin; Xu, Kai and Turner, Martin
    This paper presents the University of Lincoln Island (TULI), a work-in-progress project where the University of Lincoln campus has been recreated digitally and re-imagined as a fantasy role-playing computer game. Universities have had to respond to a number of key challenges in response to the COVID-19 pandemic. Moving teaching and research online has been facilitated by a number of mature software platforms and tool-sets and the institutional expertise to wield them. However, there are fewer core activities that have digital provisions, thereby requiring a more creative approach. One of these areas is campus familiarisation, traditionally managed through timetabled events such as guided tours and scavenger hunts. However, these activities will be untenable until social distancing measures are lifted, forcing us to consider alternatives. This paper presents gamified virtual environments as a digital solution to support students in this area. We identify a number of key challenges and opportunities in the hopes that it will provide insight for future work in this domain.
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    Where's Wally? A Machine Learning Approach
    (The Eurographics Association, 2021) Barthelmes, Tobias; Vidal, Franck; Xu, Kai and Turner, Martin
    Object detection has been implemented in all sorts of real-life scenarios such as facial recognition, traffic monitoring and medical imaging but the research that has gone into object detection in drawings and cartoons is not nearly as extensive. The Where's Wally puzzle books give a good opportunity to implement some of these real-life methods into the fictional world. The Wally detection framework proposed is composed of two stages: i) a Haar-cascade classifier based on the Viola-Jones framework, which detects possible candidates from a scenario from the Where'sWally books, and ii) a lightweight convolutional neural network (CNN) that re-labels the objects detected by the cascade classifier. The cascade classifier was trained on 85 positive images and 172 negative images. It was then applied to 12 test images, which produced over 400 false positives. To increase the accuracy of the models, hard negative mining was implemented. The framework achieved a recall score of 84.61% and an F1 score of 78.54%. Improvements could be made to the training data or the CNN to further increase these scores.