Circular and Confocal Non-line-of-sight Imaging with transient sinogram Super Resolution

Non-line-of-sight (NLOS) imaging techniques use light that diffusely reflects off of visible surfaces (e.g., walls) to see around corners. NLOS imaging can protect privacy by reconstructing images indirectly, making it difficult to capture identifiable features compared to traditional direct line-of-sight technologies. It has many potential applications, including autonomous driving, search and rescue. Unlike traditional methods, Circular and confocal non-line-of-sight (C<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup>NLOS) utilizes 1D circular scanning for faster measurements and memory-efficient imaging. However, this technique’s limitation to circular measurements causes spatial bias in the gathered data, affecting the reconstruction result quality. To address this issue, we propose E-C<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup>NLOS (Enhanced C<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup>NLOS), a framework in which we directly enhance the measured information. Our experiments suggest that the framework works effectively, and our method outperforms the baseline method.

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Published
2024-10-21
DOI
https://doi.org/10.1109/ismar-adjunct64951.2024.00035
Primary Topic
Advanced Optical Sensing Technologies
Type
article
Field-Weighted Citation Impact
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article

Circular and Confocal Non-line-of-sight Imaging with transient sinogram Super Resolution

Mariko Isogawa, Dixin Yang
Advanced Optical Sensing Technologies
article

Circular and Confocal Non-line-of-sight Imaging with transient sinogram Super Resolution

Mariko Isogawa, Dixin Yang
article en

Abstract

Non-line-of-sight (NLOS) imaging techniques use light that diffusely reflects off of visible surfaces (e.g., walls) to see around corners. NLOS imaging can protect privacy by reconstructing images indirectly, making it difficult to capture identifiable features compared to traditional direct line-of-sight technologies. It has many potential applications, including autonomous driving, search and rescue. Unlike traditional methods, Circular and confocal non-line-of-sight (C<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup>NLOS) utilizes 1D circular scanning for faster measurements and memory-efficient imaging. However, this technique’s limitation to circular measurements causes spatial bias in the gathered data, affecting the reconstruction result quality. To address this issue, we propose E-C<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup>NLOS (Enhanced C<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup>NLOS), a framework in which we directly enhance the measured information. Our experiments suggest that the framework works effectively, and our method outperforms the baseline method.

Keio University (JP)
Keio University
Openalex Percentile: Top 83%
Advanced Optical Sensing Technologies
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Circular and Confocal Non-line-of-sight Imaging with transient sinogram Super Resolution — Mariko Isogawa, Dixin Yang · (2024) | TGRS Research Map | TGRS