A Novel Preprocessing Method for Dynamic Point-Cloud Compression
Computer-based data processing capabilities have evolved to handle a lot of information. As such, the complexity of three-dimensional (3D) models (e.g., animations or real-time voxels) containing large volumes of information has increased exponentially. This rapid increase in complexity has led to p...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-06-01
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| Series: | Applied Sciences |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-3417/11/13/5941 |
| _version_ | 1797528661249753088 |
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| author | Mun-yong Lee Sang-ha Lee Kye-dong Jung Seung-hyun Lee Soon-chul Kwon |
| author_facet | Mun-yong Lee Sang-ha Lee Kye-dong Jung Seung-hyun Lee Soon-chul Kwon |
| author_sort | Mun-yong Lee |
| collection | DOAJ |
| description | Computer-based data processing capabilities have evolved to handle a lot of information. As such, the complexity of three-dimensional (3D) models (e.g., animations or real-time voxels) containing large volumes of information has increased exponentially. This rapid increase in complexity has led to problems with recording and transmission. In this study, we propose a method of efficiently managing and compressing animation information stored in the 3D point-clouds sequence. A compressed point-cloud is created by reconfiguring the points based on their voxels. Compared with the original point-cloud, noise caused by errors is removed, and a preprocessing procedure that achieves high performance in a redundant processing algorithm is proposed. The results of experiments and rendering demonstrate an average file-size reduction of 40% using the proposed algorithm. Moreover, 13% of the over-lap data are extracted and removed, and the file size is further reduced. |
| first_indexed | 2024-03-10T10:01:31Z |
| format | Article |
| id | doaj.art-466ffae36e864140b915d51344ea717c |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-10T10:01:31Z |
| publishDate | 2021-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-466ffae36e864140b915d51344ea717c2023-11-22T01:51:04ZengMDPI AGApplied Sciences2076-34172021-06-011113594110.3390/app11135941A Novel Preprocessing Method for Dynamic Point-Cloud CompressionMun-yong Lee0Sang-ha Lee1Kye-dong Jung2Seung-hyun Lee3Soon-chul Kwon4Graduate School of Smart Convergence, Kwangwoon University, Seoul 01897, KoreaDepartment of Electrical Engineering, Kwangwoon University, 20 Kwangwoon-ro, Nowon-gu, Seoul 01897, KoreaIngenium College, Kwangwoon University, Seoul 01897, KoreaIngenium College, Kwangwoon University, Seoul 01897, KoreaGraduate School of Smart Convergence, Kwangwoon University, Seoul 01897, KoreaComputer-based data processing capabilities have evolved to handle a lot of information. As such, the complexity of three-dimensional (3D) models (e.g., animations or real-time voxels) containing large volumes of information has increased exponentially. This rapid increase in complexity has led to problems with recording and transmission. In this study, we propose a method of efficiently managing and compressing animation information stored in the 3D point-clouds sequence. A compressed point-cloud is created by reconfiguring the points based on their voxels. Compared with the original point-cloud, noise caused by errors is removed, and a preprocessing procedure that achieves high performance in a redundant processing algorithm is proposed. The results of experiments and rendering demonstrate an average file-size reduction of 40% using the proposed algorithm. Moreover, 13% of the over-lap data are extracted and removed, and the file size is further reduced.https://www.mdpi.com/2076-3417/11/13/5941compressiondynamic point-cloudsimplificationvoxelization |
| spellingShingle | Mun-yong Lee Sang-ha Lee Kye-dong Jung Seung-hyun Lee Soon-chul Kwon A Novel Preprocessing Method for Dynamic Point-Cloud Compression Applied Sciences compression dynamic point-cloud simplification voxelization |
| title | A Novel Preprocessing Method for Dynamic Point-Cloud Compression |
| title_full | A Novel Preprocessing Method for Dynamic Point-Cloud Compression |
| title_fullStr | A Novel Preprocessing Method for Dynamic Point-Cloud Compression |
| title_full_unstemmed | A Novel Preprocessing Method for Dynamic Point-Cloud Compression |
| title_short | A Novel Preprocessing Method for Dynamic Point-Cloud Compression |
| title_sort | novel preprocessing method for dynamic point cloud compression |
| topic | compression dynamic point-cloud simplification voxelization |
| url | https://www.mdpi.com/2076-3417/11/13/5941 |
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