Optical flow estimation based on spatiotemporal plane fitting of event point clouds

Takumi Eda; Yusuke Kameda

doi:10.1117/12.3018902

2 May 2024 Optical flow estimation based on spatiotemporal plane fitting of event point clouds

Takumi Eda, Yusuke Kameda

Proceedings Volume 13164, International Workshop on Advanced Imaging Technology (IWAIT) 2024; 1316428 (2024) https://doi.org/10.1117/12.3018902
Event: International Workshop on Advanced Imaging Technology (IWAIT) 2024, 2024, Langkawi, Malaysia

Abstract

Event data is the asynchronous acquisition of the increase or decrease in brightness of each pixel. Events are mainly generated near the edges along the motion of the subject and camera, and the event point clouds form a plane in the spatiotemporal 3D domain. Therefore, the surface formed by the event point clouds in the spatiotemporal domain can be regarded as the trajectory of motion (optical flow). In this paper, we propose a method for optical flow estimation using parameters of planes estimated from event point clouds in a segmented spatiotemporal subregion.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Takumi Eda and Yusuke Kameda "Optical flow estimation based on spatiotemporal plane fitting of event point clouds", Proc. SPIE 13164, International Workshop on Advanced Imaging Technology (IWAIT) 2024, 1316428 (2 May 2024); https://doi.org/10.1117/12.3018902

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