WEKO3
アイテム
Towards Computational Acoustic Cameras: Neural Deconvolution and Rendering for Synthetic Aperture Sonar
http://hdl.handle.net/10061/0002000893
http://hdl.handle.net/10061/00020008937d447766-9ebc-4dd1-8b8a-702a5f8fb78a
| アイテムタイプ | ビデオ / Others(1) | |||||||
|---|---|---|---|---|---|---|---|---|
| 公開日 | 2025-05-12 | |||||||
| タイトル | ||||||||
| タイトル | Towards Computational Acoustic Cameras: Neural Deconvolution and Rendering for Synthetic Aperture Sonar | |||||||
| 言語 | ||||||||
| 言語 | eng | |||||||
| 資源タイプ | ||||||||
| 資源タイプ | video | |||||||
| アクセス権 | ||||||||
| アクセス権 | open access | |||||||
| 著者 |
Jayasuriya, Suren
× Jayasuriya, Suren
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| 抄録 | ||||||||
| 内容記述タイプ | Abstract | |||||||
| 内容記述 | Acoustic imaging leverages sound to form visual products with applications including biomedical ultrasound and sonar. In particular, synthetic aperture sonar (SAS) has been developed to generate high-resolution imagery of both in-air and underwater environments. In this talk, we explore the application of implicit neural representations and neural rendering for SAS imaging and highlight how such techniques can enhance acoustic imaging for both 2D and 3D reconstructions. Specifically we discuss challenges of neural rendering applied to acoustic imaging especially when handling the phase of reflected acoustic waves that is critical for high spatial resolution in beamforming. We present two recent works on enhanced 2D circular SAS deconvolution in air as well as a general neural rendering framework for 3D volumetric SAS. This research is the starting point for realizing the next generation of acoustic cameras for a variety of applications in air and water environments for the future. | |||||||
| 内容記述 | ||||||||
| 内容記述タイプ | Other | |||||||
| 内容記述 | 講演日: 2024年5月27日 | |||||||
| 内容記述 | ||||||||
| 内容記述タイプ | Other | |||||||
| 内容記述 | 講演場所: エーアイ大講義室, AI Inc. Seminar Hall （L1） | |||||||
| 映像時間 | ||||||||
| 内容記述タイプ | Other | |||||||
| 内容記述 | 映像時間: 1時間16分14秒 | |||||||
| 時間 | ||||||||
| 値 | 01:16:14 | |||||||
| 書誌情報 |
発行日 2024-05-27 |
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| フォーマット | ||||||||
| 内容記述タイプ | Other | |||||||
| 内容記述 | video/mp4 | |||||||
| 出版者 | ||||||||
| 出版者 | Nara Institute of Science and Technology | |||||||
| 著者版フラグ | ||||||||
| 出版タイプ | VoR | |||||||
| シリーズ名 | ||||||||
| 関連タイプ | isPartOf | |||||||
| 関連名称 | 情報科学領域・コロキアム:2024年度 | |||||||
| 本文URL | ||||||||
| 表示名 | NAIST Digital Library | |||||||
| URL | https://library.naist.jp/opac/book/111128 | |||||||
| 電子化ID | ||||||||
| 値 | P000011 | |||||||
