Matrix decomposition-based methods for compressing three-dimensional motion data
Three-Dimensional (3D) motion data, encoding geometrical variation of moving objects, is widely used in video games, movie production, 3D telepresence/3DTV, and many others. Recent advances in modern 3D scanning and acquisition techniques have led to the rapid growth in terms of the number of motion...
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| Format: | Thesis |
| Language: | English |
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2016
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| Online Access: | http://hdl.handle.net/10356/66244 |
| _version_ | 1826118434666053632 |
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| author | Hou, Junhui |
| author2 | Chau Lap Pui |
| author_facet | Chau Lap Pui Hou, Junhui |
| author_sort | Hou, Junhui |
| collection | NTU |
| description | Three-Dimensional (3D) motion data, encoding geometrical variation of moving objects, is widely used in video games, movie production, 3D telepresence/3DTV, and many others. Recent advances in modern 3D scanning and acquisition techniques have led to the rapid growth in terms of the number of motion data and their complexity. Therefore, it is highly desired to compress the data for efficient storage and transmission. In this thesis, we propose several matrix decomposition-based compression frameworks for three types of commonly used 3D motion data, including 3D animated dynamic meshes (ADMs), 3D time varying mesh (TVM)-based human motions and facial expressions, and human motion capture (MoCap) data. Each of the proposed frameworks takes advantage of the specific characteristics of the input data. Extensive experiment results on a wide range of real-world datasets demonstrate that the proposed schemes outperform state-of-the-art schemes to a large extend in terms of both compression performance and computational complexity. |
| first_indexed | 2024-10-01T04:43:21Z |
| format | Thesis |
| id | ntu-10356/66244 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T04:43:21Z |
| publishDate | 2016 |
| record_format | dspace |
| spelling | ntu-10356/662442023-07-04T16:18:34Z Matrix decomposition-based methods for compressing three-dimensional motion data Hou, Junhui Chau Lap Pui He Ying School of Electrical and Electronic Engineering Nadia Magnenat Thalmann DRNTU::Engineering::Computer science and engineering::Data::Coding and information theory Three-Dimensional (3D) motion data, encoding geometrical variation of moving objects, is widely used in video games, movie production, 3D telepresence/3DTV, and many others. Recent advances in modern 3D scanning and acquisition techniques have led to the rapid growth in terms of the number of motion data and their complexity. Therefore, it is highly desired to compress the data for efficient storage and transmission. In this thesis, we propose several matrix decomposition-based compression frameworks for three types of commonly used 3D motion data, including 3D animated dynamic meshes (ADMs), 3D time varying mesh (TVM)-based human motions and facial expressions, and human motion capture (MoCap) data. Each of the proposed frameworks takes advantage of the specific characteristics of the input data. Extensive experiment results on a wide range of real-world datasets demonstrate that the proposed schemes outperform state-of-the-art schemes to a large extend in terms of both compression performance and computational complexity. Doctor of Philosophy (EEE) 2016-03-21T08:13:45Z 2016-03-21T08:13:45Z 2016 Thesis Hou, J. (2016). Matrix decomposition-based methods for compressing three-dimensional motion data. Doctoral thesis, Nanyang Technological University, Singapore. http://hdl.handle.net/10356/66244 en 137 p. application/pdf |
| spellingShingle | DRNTU::Engineering::Computer science and engineering::Data::Coding and information theory Hou, Junhui Matrix decomposition-based methods for compressing three-dimensional motion data |
| title | Matrix decomposition-based methods for compressing three-dimensional motion data |
| title_full | Matrix decomposition-based methods for compressing three-dimensional motion data |
| title_fullStr | Matrix decomposition-based methods for compressing three-dimensional motion data |
| title_full_unstemmed | Matrix decomposition-based methods for compressing three-dimensional motion data |
| title_short | Matrix decomposition-based methods for compressing three-dimensional motion data |
| title_sort | matrix decomposition based methods for compressing three dimensional motion data |
| topic | DRNTU::Engineering::Computer science and engineering::Data::Coding and information theory |
| url | http://hdl.handle.net/10356/66244 |
| work_keys_str_mv | AT houjunhui matrixdecompositionbasedmethodsforcompressingthreedimensionalmotiondata |