Computer Vision-Driven Non-Destructive Multi-Layered 3D Reconstruction with Broadband Terahertz and Millimeter-Wave Imagers-Reference-Cited by-同舟云学术

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Computer Vision-Driven Non-Destructive Multi-Layered 3D Reconstruction with Broadband Terahertz and Millimeter-Wave Imagers

Published:2022-11-29 Issue: Volume: Page:
ISSN:
Container-title:2022 Asia-Pacific Microwave Conference (APMC)
language:
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Author:

Kinoshita Yuya.¹,Li Kou.²,Zhou Zhenyu.³,Sato Imari.³,Kawano Yukio.¹

Affiliation:

1. Chuo University,Graduate School of Science and Engineering,Bunkyo-ku,Tokyo,Japan,112–8551

2. Tokyo Institute of Technology 2-12-1 Ookayama,Department of Electrical and Electronic Engineering,Meguro-ku,Tokyo,Japan,152–8550

3. National Institute of Informatics,Chiyoda-ku,Tokyo,Japan,101–8430

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9999720/9999721/09999985.pdf?arnumber=9999985

Reference12 articles.

1. In situ experimental techniques to study the mechanical behavior of materials using X-ray synchrotron tomography

2. A review of X-ray computed tomography of concrete and asphalt construction materials

3. Silhouette-based 3-D model reconstruction from multiple images

4. Series Photothermoelectric Coupling Between Two Composite Materials for a Freely Attachable Broadband Imaging Sheet

5. Stretchable broadband photo-sensor sheets for nonsampling, source-free, and label-free chemical monitoring by simple deformable wrapping

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