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dc.rights.licenseCC-BY-NC-ND
dc.contributor.advisorPanja, Deb
dc.contributor.authorVerhage, Lourens
dc.date.accessioned2024-07-24T23:05:51Z
dc.date.available2024-07-24T23:05:51Z
dc.date.issued2024
dc.identifier.urihttps://studenttheses.uu.nl/handle/20.500.12932/46888
dc.description.abstractThis thesis outlines a new scene object isolation method that is capable of isolating centre scene objects from a set of images that captures the scene. Doing this it shows some interesting quirks in the SMF data. The thesis experiments with the different configurations for the object isolation method, and presents these results. Beside this the thesis proposes some changes and extensions to Gaussian splatting to enable it to optimize the isolated objects, and re-implements depthregularized Gaussian splatting. The modifications are explored by tweaking their hyper parameters, and in doing so showing their influence on the accuracy of the final trained object. The thesis is closed by speculating in possible improvements that could still be made to the object isolation method, and quickly proposes a method that could be used to allow for multiple objects, from the same scene, to be trained at the same time and be combined into one scene.
dc.description.sponsorshipUtrecht University
dc.language.isoEN
dc.subjectGiven an image set that captures a single scene, isolate an object in this scene using the images, and reconstruct the isolated object using 3D Gaussian splatting
dc.title3D Gaussian Splatting for Isolated Objects
dc.type.contentMaster Thesis
dc.rights.accessrightsOpen Access
dc.subject.keywordsImage Processing
dc.subject.courseuuComputing Science
dc.thesis.id34810


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