Progressive compression of geometry information with smooth intermediate meshes
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Park, Taejung | - |
dc.contributor.author | Lee, Haeyoung | - |
dc.contributor.author | Kim, Chang-hun | - |
dc.date.accessioned | 2022-07-05T08:42:36Z | - |
dc.date.available | 2022-07-05T08:42:36Z | - |
dc.date.created | 2022-07-05 | - |
dc.date.issued | 2007 | - |
dc.identifier.issn | 0302-9743 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/hongik/handle/2020.sw.hongik/29926 | - |
dc.description.abstract | We present a new geometry compression algorithm for manifold 3D meshes based on octree coding. For a given mesh, regular volume grids are built with an adaptive octree. For each grid point, a binary sign, which indicates inside or outside of the mesh, is generated based on the distance to the mesh. In each leaf cell having a vertex, a least square fitting plane is created for a localized geometry range with signs. Finally, quantized geometry information is locally encoded. We demonstrate that the octree with signs can be used to predict the vertex positions. As a result, the proposed method generates competitive bitrates compared to the current state-of-art progressive geometry coder. Our method also shows better rate-distortion performance during decompression or transmission with improved smoothness. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | SPRINGER-VERLAG BERLIN | - |
dc.title | Progressive compression of geometry information with smooth intermediate meshes | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Lee, Haeyoung | - |
dc.identifier.wosid | 000247329100012 | - |
dc.identifier.bibliographicCitation | PATTERN RECOGNITION AND IMAGE ANALYSIS, PT 2, PROCEEDINGS, v.4478, pp.89 - + | - |
dc.relation.isPartOf | PATTERN RECOGNITION AND IMAGE ANALYSIS, PT 2, PROCEEDINGS | - |
dc.citation.title | PATTERN RECOGNITION AND IMAGE ANALYSIS, PT 2, PROCEEDINGS | - |
dc.citation.volume | 4478 | - |
dc.citation.startPage | 89 | - |
dc.citation.endPage | + | - |
dc.type.rims | ART | - |
dc.type.docType | Proceedings Paper | - |
dc.description.journalClass | 1 | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Computer Science | - |
dc.relation.journalResearchArea | Imaging Science & Photographic Technology | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Artificial Intelligence | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Theory & Methods | - |
dc.relation.journalWebOfScienceCategory | Imaging Science & Photographic Technology | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
94, Wausan-ro, Mapo-gu, Seoul, 04066, Korea02-320-1314
COPYRIGHT 2020 HONGIK UNIVERSITY. ALL RIGHTS RESERVED.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.