A study on radiometric compensation for moving non-rigid surfaces using motion prediction

Kazuma Yoshimura; Naoki Hashimoto

doi:10.1117/12.2667025

25 March 2023 A study on radiometric compensation for moving non-rigid surfaces using motion prediction

Kazuma Yoshimura, Naoki Hashimoto

Proceedings Volume 12592, International Workshop on Advanced Imaging Technology (IWAIT) 2023; 1259217 (2023) https://doi.org/10.1117/12.2667025
Event: International Workshop on Advanced Imaging Technology (IWAIT) 2023, 2023, Jeju, Korea, Republic of

Abstract

In this research, we aim to realize the improvement of the accuracy of radiometric compensation for moving non-rigid bodies. By predicting the movement of objects using deep learning, the influence of delays in measurement and projection depending on cameras and projectors on correction accuracy is reduced.

Citation Download Citation

Kazuma Yoshimura and Naoki Hashimoto "A study on radiometric compensation for moving non-rigid surfaces using motion prediction", Proc. SPIE 12592, International Workshop on Advanced Imaging Technology (IWAIT) 2023, 1259217 (25 March 2023); https://doi.org/10.1117/12.2667025

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available