1 code implementation • 3 Mar 2022 • Zijie Jiang, Hajime Taira, Naoyuki Miyashita, Masatoshi Okutomi
In this paper, we investigate the effect of different fusion strategies for ego-motion estimation and propose a new framework for self-supervised learning of depth and ego-motion estimation, which performs ego-motion estimation by leveraging RGB and inferred depth information in a Multi-Layer Fusion manner.
no code implementations • 7 Jul 2021 • Hajime Taira, Koki Onbe, Naoyuki Miyashita, Masatoshi Okutomi
In this paper we introduce a new camera localization strategy designed for image sequences captured in challenging industrial situations such as industrial parts inspection.
no code implementations • 24 Jan 2021 • Zijie Jiang, Hajime Taira, Naoyuki Miyashita, Masatoshi Okutomi
In this paper, we present a robust and efficient Structure from Motion pipeline for accurate 3D reconstruction under challenging environments by leveraging the camera pose information from a visual-inertial odometry.
no code implementations • 18 Jun 2020 • Sho kagami, Hajime Taira, Naoyuki Miyashita, Akihiko Torii, Masatoshi Okutomi
Pipe inspection is a critical task for many industries and infrastructure of a city.