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Implementacija navidezne resničnosti v spletno vizualizacijsko ogrodje Med3D
KOKELJ, ŽIGA (Author), Marolt, Matija (Mentor) More about this mentor... This link opens in a new window, Bohak, Ciril (Co-mentor)

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Abstract
V tem diplomskem delu predstavljamo razširitev spletnega vizualizacijskega ogrodja Med3D, ki uporabniku omogoča ogled vizualizacij v navidezni resničnosti. Poleg pogleda v navidezni resničnosti smo poskrbeli tudi za upravljanje scene s pomočjo upravljalnikov, priloženih sistemu HTC Vive. S temi upravljalniki lahko objekte premikamo in rotiramo v vseh treh smereh ter si tako zagotovimo ogled tistega dela podatkov, ki nas najbolj zanima. Poleg omenjenih dveh razširitev smo implementirali tudi metodo neposrednega upodabljanja volumetričnih podatkov z metanjem žarkov. Uporabnik pa ima ob tem možnost prilagajanja parametrov, ki določajo barvo, število vzorčenj in korekcijski faktor izrisa, saj se vhodni podatki lahko med seboj precej razlikujejo. Na ta način lahko zagotovimo njihovo ustrezno vizualizacijo. Za konec smo izvedli še teste, v katerih smo ugotavljali vpliv števila vzorčenj in korekcijskega faktorja na hitrost izrisa.

Language:Slovenian
Keywords:navidezna resničnost, vizualizacija medicinskih podatkov, metoda metanja žarkov, spletno vizualizacijsko ogrodje
Work type:Bachelor thesis/paper (mb11)
Organization:FRI - Faculty of computer and information science
Year:2018
Views:681
Downloads:287
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Secondary language

Language:English
Title:Implementation of virtual reality into the Med3D web visualisation framework
Abstract:
In this diploma thesis, we present the extension of web-based visualization framework Med3D, which allows users to view visualizations in virtual reality. We also implemented controlling visualized objects in virtual reality with HTC Vive controllers. It allows us to translate and rotate objects in all three directions, to ensure that the user gets the angle of view that he wants. In addition to extensions described above, we also implemented a volume ray casting method for visualizing volumetric data. Users can set a color, number of samples per ray and correction factor. Those settings are important for visualization results since input data can vary greatly and hardcoded parameters cannot provide the desired visualization results. We also tested the speed of our implementation of the algorithm (in FPS - frames per second) for different values of the number of samples and correction factor.

Keywords:virtual reality, visualization of medical data, volume ray casting, web based visualization framework

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