The expanding availability of high-resolution 3D point clouds from lidar and photogrammetry has fostered interest in digital twin forests Digital twin forests are datasets in which every tree in a ...

This project implements a 2D pore-throat network extraction algorithm for porous media images. It uses a modified watershed segmentation approach based on Distance Transform and H-maxima markers to ...

ABSTRACT: As a work exploring the existing trade-off between accuracy and efficiency in the context of point cloud processing, Point Transformer V3 (PTV3) has made significant advancements in ...

Abstract: Accurate individual tree segmentation is an important basis for the subsequent calculation and analysis of forestry parameters. However, rasterized canopy height model based methods often ...

Abstract: We consider the problem of accurately identifying cell boundaries and labeling individual cells in confocal microscopy images, specifically, 3D image stacks of cells with tagged cell ...

Medical image segmentation is a fundamental component of many clinical applications such as computer-aided diagnosis, radiotherapy planning, and preoperative planning. Its accuracy and stability ...

Meta Platforms Inc. today is expanding its suite of open-source Segment Anything computer vision models with the release of SAM 3 and SAM 3D, introducing enhanced object recognition and ...

The Magic of Mario | Mario could have all the appeal as a character, but without engaging worlds to explore he wouldn't be much of a star – Nintendo's divine design has been key When you purchase ...

A research team led by Prof. WANG Huanqin at the Institute of Intelligent Machines, the Hefei Institutes of Physical Science of the Chinese Academy of Sciences, recently proposed a semi-supervised ...

This transcript was prepared by a transcription service. This version may not be in its final form and may be updated. Annie Minoff: A few years ago, Derek Mobley was working in IT. He loved his job ...