Dynamic Reconstruction and Mesh Compression of 4D Volumetric Model Using Correspondence-Based Deformation for Streaming Service
A sequence of 3D models generated using volumetric capture has the advantage of retaining the characteristics of dynamic objects and scenes. However, in volumetric data, since 3D mesh and texture are synthesized for every frame, the mesh of every frame has a different shape, and the brightness and c...
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MDPI AG
2022-11-01
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Series: | Sensors |
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Online Access: | https://www.mdpi.com/1424-8220/22/22/8815 |
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author | Byung-Seo Park Sol Lee Jung-Tak Park Jin-Kyum Kim Woosuk Kim Young-Ho Seo |
author_facet | Byung-Seo Park Sol Lee Jung-Tak Park Jin-Kyum Kim Woosuk Kim Young-Ho Seo |
author_sort | Byung-Seo Park |
collection | DOAJ |
description | A sequence of 3D models generated using volumetric capture has the advantage of retaining the characteristics of dynamic objects and scenes. However, in volumetric data, since 3D mesh and texture are synthesized for every frame, the mesh of every frame has a different shape, and the brightness and color quality of the texture is various. This paper proposes an algorithm to consistently create a mesh of 4D volumetric data using dynamic reconstruction. The proposed algorithm comprises remeshing, correspondence searching, and target frame reconstruction by key frame deformation. We make non-rigid deformation possible by applying the surface deformation method of the key frame. Finally, we propose a method of compressing the target frame using the target frame reconstructed using the key frame with error rates of up to 98.88% and at least 20.39% compared to previous studies. The experimental results show the proposed method’s effectiveness by measuring the geometric error between the deformed key frame and the target frame. Further, by calculating the residual between two frames, the ratio of data transmitted is measured to show a compression performance of 18.48%. |
first_indexed | 2024-03-09T18:00:49Z |
format | Article |
id | doaj.art-33cc230fbbbf4c9097a6edb479d07a9c |
institution | Directory Open Access Journal |
issn | 1424-8220 |
language | English |
last_indexed | 2024-03-09T18:00:49Z |
publishDate | 2022-11-01 |
publisher | MDPI AG |
record_format | Article |
series | Sensors |
spelling | doaj.art-33cc230fbbbf4c9097a6edb479d07a9c2023-11-24T09:56:14ZengMDPI AGSensors1424-82202022-11-012222881510.3390/s22228815Dynamic Reconstruction and Mesh Compression of 4D Volumetric Model Using Correspondence-Based Deformation for Streaming ServiceByung-Seo Park0Sol Lee1Jung-Tak Park2Jin-Kyum Kim3Woosuk Kim4Young-Ho Seo5Department of Electronic Materials Engeering, Kwangwoon University, Kwangwoon-ro 20, Nowon-gu, Seoul 01897, Republic of KoreaDepartment of Electronic Materials Engeering, Kwangwoon University, Kwangwoon-ro 20, Nowon-gu, Seoul 01897, Republic of KoreaDepartment of Electronic Materials Engeering, Kwangwoon University, Kwangwoon-ro 20, Nowon-gu, Seoul 01897, Republic of KoreaDepartment of Electronic Materials Engeering, Kwangwoon University, Kwangwoon-ro 20, Nowon-gu, Seoul 01897, Republic of KoreaDepartment of Electronic Materials Engeering, Kwangwoon University, Kwangwoon-ro 20, Nowon-gu, Seoul 01897, Republic of KoreaDepartment of Electronic Materials Engeering, Kwangwoon University, Kwangwoon-ro 20, Nowon-gu, Seoul 01897, Republic of KoreaA sequence of 3D models generated using volumetric capture has the advantage of retaining the characteristics of dynamic objects and scenes. However, in volumetric data, since 3D mesh and texture are synthesized for every frame, the mesh of every frame has a different shape, and the brightness and color quality of the texture is various. This paper proposes an algorithm to consistently create a mesh of 4D volumetric data using dynamic reconstruction. The proposed algorithm comprises remeshing, correspondence searching, and target frame reconstruction by key frame deformation. We make non-rigid deformation possible by applying the surface deformation method of the key frame. Finally, we propose a method of compressing the target frame using the target frame reconstructed using the key frame with error rates of up to 98.88% and at least 20.39% compared to previous studies. The experimental results show the proposed method’s effectiveness by measuring the geometric error between the deformed key frame and the target frame. Further, by calculating the residual between two frames, the ratio of data transmitted is measured to show a compression performance of 18.48%.https://www.mdpi.com/1424-8220/22/22/88154D volumetricremeshingcorrespondencedynamic reconstructionmesh compression |
spellingShingle | Byung-Seo Park Sol Lee Jung-Tak Park Jin-Kyum Kim Woosuk Kim Young-Ho Seo Dynamic Reconstruction and Mesh Compression of 4D Volumetric Model Using Correspondence-Based Deformation for Streaming Service Sensors 4D volumetric remeshing correspondence dynamic reconstruction mesh compression |
title | Dynamic Reconstruction and Mesh Compression of 4D Volumetric Model Using Correspondence-Based Deformation for Streaming Service |
title_full | Dynamic Reconstruction and Mesh Compression of 4D Volumetric Model Using Correspondence-Based Deformation for Streaming Service |
title_fullStr | Dynamic Reconstruction and Mesh Compression of 4D Volumetric Model Using Correspondence-Based Deformation for Streaming Service |
title_full_unstemmed | Dynamic Reconstruction and Mesh Compression of 4D Volumetric Model Using Correspondence-Based Deformation for Streaming Service |
title_short | Dynamic Reconstruction and Mesh Compression of 4D Volumetric Model Using Correspondence-Based Deformation for Streaming Service |
title_sort | dynamic reconstruction and mesh compression of 4d volumetric model using correspondence based deformation for streaming service |
topic | 4D volumetric remeshing correspondence dynamic reconstruction mesh compression |
url | https://www.mdpi.com/1424-8220/22/22/8815 |
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