| Paper Abstract and Keywords |
| Presentation |
2024-06-06 13:10
3-Way Locally-Structured Unitary Network for Volumetric Data Processing
Miyu Maruyama, Yasas Godage, Shogo Muramatsu (Niigata Univ.) |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
This work proposes a 3-Way Locally Structured Unitary Network (3-Way LSUN) as a volumetric data analysis method. With advances in measurement technology, the need for high-dimensional data analysis is increasing. Among high-dimensional data, there is a type of volumetric data that has information in three directions (vertical, horizontal, and depth) and can express three-dimensional objects, including contents. Because the amount of volumetric data is huge, processing and storage costs are high. Therefore, some dimensionality reduction is needed for efficient processing. Highly accurate analysis and reconstruction methods are required to reduce the dimensionality of the volumetric data. Block Principal Component Analysis (BPCA) is a typical example of an existing analysis method. However, dimensionality reduction using BPCA has issues with continuity between blocks, such as block distortion. Thus, this study extends the 2-Way LSUN proposed by Yasas textit{et al.} to allow for a three-direction analysis, and proposes a 3-Way LSUN as a highly accurate volumetric data analysis and synthesis transform. Through experiments on the dimensionality reduction and evaluation of the approximation error with the original, the significance of the proposed 3-Way LSUN is confirmed. The 3-Way LSUN is shown to achieve higher accuracy than the BPCA. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
Volumetric data / Principal Component Analysis / Lapped Transform / / / / / |
| Reference Info. |
ITE Tech. Rep., vol. 48, no. 17, ME2024-48, pp. 7-10, June 2024. |
| Paper # |
ME2024-48 |
| Date of Issue |
2024-05-30 (IST, ME) |
| ISSN |
Online edition: ISSN 2424-1970 |
| Download PDF |
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| Conference Information |
| Committee |
ME IST IEICE-BioX IEICE-SIP IEICE-MI IEICE-IE |
| Conference Date |
2024-06-06 - 2024-06-07 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
Nigata University (Ekinan-Campus "TOKIMATE") |
| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
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| Paper Information |
| Registration To |
ME |
| Conference Code |
2024-06-ME-IST-BioX-SIP-MI-IE |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
3-Way Locally-Structured Unitary Network for Volumetric Data Processing |
| Sub Title (in English) |
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| Keyword(1) |
Volumetric data |
| Keyword(2) |
Principal Component Analysis |
| Keyword(3) |
Lapped Transform |
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| 1st Author's Name |
Miyu Maruyama |
| 1st Author's Affiliation |
Niigata University (Niigata Univ.) |
| 2nd Author's Name |
Yasas Godage |
| 2nd Author's Affiliation |
Niigata University (Niigata Univ.) |
| 3rd Author's Name |
Shogo Muramatsu |
| 3rd Author's Affiliation |
Niigata University (Niigata Univ.) |
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| Speaker |
Author-1 |
| Date Time |
2024-06-06 13:10:00 |
| Presentation Time |
25 minutes |
| Registration for |
ME |
| Paper # |
IST2024-23, ME2024-48 |
| Volume (vol) |
vol.48 |
| Number (no) |
no.17 |
| Page |
pp.7-10 |
| #Pages |
4 |
| Date of Issue |
2024-05-30 (IST, ME) |
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