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Realistic physical interaction of 3D point cloud objects Theme Design and Development Project proposed & supervised by Miles Hansard, Changjae Oh To discuss whether this project could become your PhD proposal please email: miles.hansard@qmul.ac.uk < Back Realistic physical interaction of 3D point cloud objects Project proposal abstract: Point cloud data is becoming widely available, owing to commodity depth cameras and lidar systems. This creates many opportunities for creating 3D game assets, including environments and objects, from scanned real-world data. The realistic rendering of such data has been widely investigated (e.g. https://hal.inria.fr/hal-01017700/) , and can be performed efficiently. However, physical interactions between point clouds, meshes, and other representations are also critical, for gaming and VR applications. These interactions, which include collision, deformation, occlusion, and other effects, may require alternative representations (e.g. https://arxiv.org/abs/1912.12033) . This project will investigate geometric and machine learning approaches to these open problems, in typical game environments. Supervisor: Miles Hansard , Changjae Oh Based at:

< Back Decentralised Gambling Overview Link Author(s) OJ Scholten, JA Walker, D Zendle Abstract More info TBA Link

< Back iGGi Con 2025 - REGISTRATION NOW OPEN! The next iGGi Conference is happening soon! iGGi Con 2025 University of York 10-11 September REGISTER VIA THIS FORM iGGi Con 2025 website And you can obviously also follow the iGGi social media for related news and updates: LinkedIn BlueSky Please note that full coverage of the event will be mainly via our BlueSky account . Hoping to see many of you there! Previous 7 May 2025 Next

< Back An Exploratory Analysis of Student Experiences with Peer Evaluation in Group Game Development Projects Link Author(s) A Mitchell, M Scott, J Walton-Rivers, M Watkins, W New, D Brown Abstract More info TBA Link

< Back Discrete versus Ordinal Time-Continuous Believability Assessment Link Author(s) C Pacheco, D Melhart, A Liapis, GN Yannakakis, D Perez-Liebana Abstract More info TBA Link

< Back Modelling early user-game interactions for joint estimation of survival time and churn probability Link Author(s) V Bonometti, C Ringer, M Hall, AR Wade, A Drachen Abstract More info TBA Link

< Back Visual Referential Games Further the Emergence of Disentangled Representations Link Author(s) K Denamganaï, S Missaoui, JA Walker Abstract More info TBA Link

iGGi Partners We are excited to be collaborating with a number of industry partners. IGGI works with industry in some of the following ways: Student Industry Knowledge Transfer - this can take many forms, from what looks like a traditional placement, to a short term consultancy, to an ongoing relationship between the student and their industry partner. Student Sponsorship - for some of our students, their relationship with their industry partner is reinforced by sponsorship from the company. This is an excellent demonstration of the strength of the commitment and the success of the collaborations. In Kind Contributions - IGGI industry partners can contribute by attending and/or featuring in our annual conference, offering their time to give talks and masterclasses for our students, or even taking part in our annual game jam! There are many ways for our industry partners to work with IGGI. If you are interested in becoming involved, please do contact us so we can discuss what might be suitable for you. Swrve

< Back Shallow decision-making analysis in general video game playing Link Author(s) I Bravi, D Perez-Liebana, SM Lucas, J Liu Abstract More info TBA Link

< Back What are you looking at? Team fight prediction through player camera Link Author(s) M Tot, M Conserva, AP Chitayat, A Kokkinakis, S Patra, S Demediuk, ... Abstract More info TBA Link

< Back Echo Suite of Software (Showcase Brochure) Link Author(s) Florian Oliver Block, Marian Ursu, Jonathan David Hook, Ben Kirman, Anders Drachen, Simon Peter Demediuk, Athanasios Kokkinakis, [...], Alan Pedrassoli Chitayat, ... Abstract More info TBA Link

< Back A data-driven approach for examining the demand for relaxation games on Steam during the COVID-19 pandemic Link Author(s) M Croissant, M Frister Abstract More info TBA Link