This paper proposes an efficient and accurate process to find instances of a specific object
in a point cloud scene where the object is unique, a member of a trained class, and the …

Existing similarity search methods, often limited to scalar or vector data, struggle to identify
complex patterns found in scientific datasets, such as 2D seismic events or 3D magnetic flux …

Due to the recent advancements in computing hardware, deep learning, and 3D sensors,
point clouds have become an essential 3D data structure, and their processing and analysis …

Quality assessment of construction projects is the process of comparing the designed model
with the as-built one in order to identify deviations, thus giving room for the implementation …

In the era of Industry 4.0 and the rise of Digital Twins (DT), the demand for enriched point
cloud data has grown significantly. Point clouds allow seamless integration into Building …

Object recognition in 3D point clouds is an important and widely researched topic. We
propose a novel method based on local point descriptors. We detect edge points on the …

論文抄録 我が国では, 高度経済成長期に集中的に建設された構造物の多くが老朽化してきている.
そこで, 国土交通省では, 点群データを活用した維持管理の効率化を推進している. 既存研究では …