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dc.contributor.advisor Yang, Seungjoon -
dc.contributor.author Choi, Junho -
dc.date.accessioned 2026-03-26T22:14:04Z -
dc.date.available 2026-03-26T22:14:04Z -
dc.date.issued 2026-02 -
dc.description.abstract This paper introduces a novel lossy compression method for Truncated Signed Distance Function (TSDF) sequences, a common 3D representation. To date, research on compressing 3D TSDF videos has been notably scarce. Our work aims to fill this gap by proposing an approach analogous to JPEG and MPEG methodologies. Keyframes (I-Frames) are compressed using a new intraframe codec, while intermediate frames are predicted using RAFT (Recurrent All-Pairs Field Transforms) [1] and subsequently corrected through a refinement process. -
dc.description.degree Master -
dc.description Department of Electrical Engineering -
dc.identifier.uri https://scholarworks.unist.ac.kr/handle/201301/90970 -
dc.identifier.uri http://unist.dcollection.net/common/orgView/200000964932 -
dc.language ENG -
dc.publisher Ulsan National Institute of Science and Technology -
dc.rights.embargoReleaseDate 9999-12-31 -
dc.rights.embargoReleaseTerms 9999-12-31 -
dc.subject Sadovskii Vortex Patch -
dc.title Learned Volume Compression for Dynamic TSDF Sequences -
dc.type Thesis -

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