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Utvecklingen av en VR-kamera för Motion Capure
2016 (Swedish)Independent thesis Basic level (professional degree), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

The FogdogFlip is a company currently developing the software for a project called Previble. The system is intended to facilitate the creation of “pre-visualization” edits, targeting the movie production industry. The project has come to a point where it’s appropriate to integrate a virtual camera feature to the existing system. A technology which allows the user to turn an ordinary “smart phone” in to a viewport, showing a computer generated scene. In this paper, the writer explores two promising streaming technologies when developing the requested application. The technologies are compared side by side in the aspect of usability and implementation challenges. The first technology aims to render graphics on a central unit and then stream the rendered images to the mobile clients. The second system works the other way around, sending raw data about 3D-model orientations and then renders the final image on the clients. The application was developed in the game engine Unity 5 and early tests showed strong advantage to the raw/ position data stream due to network overload caused by the image stream. The result forced the development to commit to the position dataflow at a fairly early stage of the development. The result was a working VR-application based on the position dataflow technology

Place, publisher, year, edition, pages
2016. , 27 p.
Keyword [en]
Keyword [sv]
URN: urn:nbn:se:ltu:diva-56667Local ID: d6c9b399-f5c7-42b8-90e0-ff21f9fe7342OAI: diva2:1030054
Subject / course
Student thesis, at least 15 credits
Educational program
Computer Engineering, bachelor's level
Validerat; 20160403 (global_studentproject_submitter)Available from: 2016-10-04 Created: 2016-10-04Bibliographically approved

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