内容紹介

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.

詳細情報

刊年

2024

形態

電子化映像資料(1時間16分14秒）

シリーズ名

情報科学領域・コロキアム ; 2024年度

注記

講演者所属: Arizona State University

講演日: 2024年5月27日

講演場所: エーアイ大講義室, AI Inc. Seminar Hall （L1）

標題言語

英語 (eng)

本文言語

英語 (eng)

著者情報

Suren Jayasuriya