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https://hdl.handle.net/10356/153205
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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Long, Shi Sheng | en_US |
dc.date.accessioned | 2021-11-16T03:12:45Z | - |
dc.date.available | 2021-11-16T03:12:45Z | - |
dc.date.issued | 2021 | - |
dc.identifier.citation | Long, S. S. (2021). Virtual reality (VR) game. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/153205 | en_US |
dc.identifier.uri | https://hdl.handle.net/10356/153205 | - |
dc.description.abstract | Virtual Reality (VR) is widely use in the industrial nowadays, especially for sports games. The VR technologies allow people to connect within the virtual reality world anywhere and anytime regardless of the distance and pandemic situations. However, there are still some restrictions and software bugs in the virtual world. An algorithm for continuous dynamic collision detection is developed for VR pool games. The sweep-based 3D physics is applied to the cue ball and object ball movements, which ensures that the fast-moving balls collide with each other. Also, The Time-of Impact algorithms are exploited to compute potential collisions for an object by sweeping its forward trajectory using its current velocity. Experimental results are presented in an immersive and interactive virtual pool environment, showing comparative advantages of accuracy in ball trajectory generations over the existing methods. This work is partially submitted for 2022 International Workshop on Advance Image Technology (IWAIT) conference. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Nanyang Technological University | en_US |
dc.relation | SCSE20 – 0834 | en_US |
dc.subject | Engineering::Computer science and engineering | en_US |
dc.title | Virtual reality (VR) game | en_US |
dc.type | Final Year Project (FYP) | en_US |
dc.contributor.supervisor | Lin Feng | en_US |
dc.contributor.school | School of Computer Science and Engineering | en_US |
dc.description.degree | Bachelor of Engineering (Computer Science) | en_US |
dc.contributor.supervisoremail | ASFLIN@ntu.edu.sg | en_US |
item.grantfulltext | restricted | - |
item.fulltext | With Fulltext | - |
Appears in Collections: | SCSE Student Reports (FYP/IA/PA/PI) |
Files in This Item:
File | Description | Size | Format | |
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SCSE20 – 0834 Long Shi Sheng FYP Report.pdf Restricted Access | 8.02 MB | Adobe PDF | View/Open |
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