From Geometric Separation to Semantic Understanding: A Deep Analysis of the Essential Differences Between 3D Point Cloud Segmentation and Semantic Segmentation

Among these, 3D point cloud segmentation and semantic segmentation are two key technologies. Although both fall under the category of point cloud processing, there are essential differences in target ...
Nature

3D Point Cloud Processing and Semantic Segmentation

Three-dimensional point cloud processing has become an indispensable tool in fields ranging from autonomous navigation to heritage conservation by enabling the direct capture of spatial data. At its ...
AlphaGalileo

AI-driven Plant-MAE boosts 3D plant phenotyping with self-supervised learning

MAE, a self-supervised learning framework designed to automate 3D segmentation of plant organs from point cloud data.

Hubei Xiangxiao Automotive Manufacturing Applies for Patent on Irregular Parts Pulse Welding, Can It Lead Industry Innovation?

National Intellectual Property Administration Announces Important Patent Application ...
EurekAlert!

3-D laser scanning point clouds help to introduce building's facilities management

Researchers from Russia, China and India are going to develop the software for creating informative 3D-models of urban infrastructure objects using the laser scanner survey technologies and ...
JSTOR Daily

Multiple-change-point detection for high dimensional time series via sparsified binary segmentation

Time series segmentation, which is also known as multiple-change-point detection, is a well-established problem. However, few solutions have been designed specifically for high dimensional situations.