| Presentation | 2023-02-02 [Invited Talk] When Compressive Light Field Acquisition Meets Deep Learning Keita Takahashi, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | The light field is a basic representation for 3-D visual information, and it is usually treated as a set of images taken from multiple viewpoints arranged on a 2D grid with tiny intervals. The author has been working on the issue how efficiently this kind of massive information can be acquired, in particular, compressive acquisition methods using a single computational camera equipped with optical coding capability. The traditional approach to this problem was based on the theory of compressive sensing, where some sparse structure in the target signal should explicitly be modeled. However, deep learning has come on the scene to solve this problem in a completely different manner, not only leading to significant boost in the quality and computational speed, but also bringing the capability to handle dynamic (moving) light fields. In this talk, the author will summarize the development our research group has established, mentioning the latest progress reported in PCSJ IMPS 2022. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Light Field / Computational Camera / Compressive Sensing / Deep Learning |
| Paper # | IE2022-56 |
| Date of Issue | 2023-01-26 (IE) |
| Conference Information | |
| Committee | IE |
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| Conference Date | 2023/2/2(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | NII |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Image Processing |
| Chair | Kazuya Kodama(NII) |
| Vice Chair | Hiroyuki Bandoh(NTT) / Toshihiko Yamazaki(Univ. of Tokyo) |
| Secretary | Hiroyuki Bandoh(KDDI Research) / Toshihiko Yamazaki(Nagoya Inst. of Tech.) |
| Assistant | Shunsuke Iwamura(NHK) / Shinobu Kudo(NTT) |
| Paper Information | |
| Registration To | Technical Committee on Image Engineering |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | [Invited Talk] When Compressive Light Field Acquisition Meets Deep Learning |
| Sub Title (in English) | |
| Keyword(1) | Light Field |
| Keyword(2) | Computational Camera |
| Keyword(3) | Compressive Sensing |
| Keyword(4) | Deep Learning |
| 1st Author's Name | Keita Takahashi |
| 1st Author's Affiliation | Nagoya University(Nagoya Univ.) |
| Date | 2023-02-02 |
| Paper # | IE2022-56 |
| Volume (vol) | vol.122 |
| Number (no) | IE-376 |
| Page | pp.pp.20-20(IE), |
| #Pages | 1 |
| Date of Issue | 2023-01-26 (IE) |