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dc.contributor.authorShao, LuJieen_US
dc.identifier.citationShao, L. (2022). Visualization of 3D neuronal networks. Final Year Project (FYP), Nanyang Technological University, Singapore.
dc.description.abstractThe study of computer graphics is now popular in generating 2D or 3D images. The implementation of computer graphics is essential and the applications are created to be used in various fields such as education and training, biology, architecture, entertainment, visualization, etc. One of the research fields is about understanding and analysing complicated features and behaviours of the human brain. 3D visualization provides a useful tool for analysing the complicated features and behaviours of dense neural networks. The purpose of the project is to investigate techniques for visualizing the point-and-diameterbased neurons as 3 Dimensional by using a POV-Ray-based visualizer according to the neuronal morphology descriptions defined in neuronal morphology SWC format files. A program is created to convert the existing SWC file of the neuron to a POV-Ray file to render the 3D visualization of the neuron.en_US
dc.publisherNanyang Technological Universityen_US
dc.subjectEngineering::Computer science and engineering::Computing methodologies::Computer graphicsen_US
dc.titleVisualization of 3D neuronal networksen_US
dc.typeFinal Year Project (FYP)en_US
dc.contributor.supervisorZheng Jianminen_US
dc.contributor.schoolSchool of Computer Science and Engineeringen_US
dc.description.degreeBachelor of Engineering (Computer Engineering)en_US
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Appears in Collections:SCSE Student Reports (FYP/IA/PA/PI)
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