Abstract: Accurate segmentation of 3D point clouds in indoor scenes remains a challenging task, often hindered by the labor-intensive nature of data annotation. While weakly supervised learning ...
Abstract: In LiDAR-based 3D object detection, severe occlusion often leads to incomplete object shape in point cloud scene. It is a critical challenge as it will significantly degrade detection ...
#gymnastics #sports #gymnast #beam #simonebiles Here are the 7 most difficult skills in the 2025-28 Code of Points: - the Erceg; - the Layout Full mount; - the Shishova II; - the Patterson; - the Full ...
A critical-severity vulnerability in the vm2 Node.js sandbox library, tracked as CVE-2026-22709, allows escaping the sandbox and executing arbitrary code on the underlying host system. The open-source ...
#gymnastics #beam #dismount In women's artistic gymnastics, beam is the third event in the Olympic order. The gymnast has 90 seconds to perform a mixture of acrobatic skills, dance elements and ...
Partitioning 3D point clouds using an irregular grid simplifies tree segmentation in digital forests
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 ...
MaskMe is a modern, annotation-based Java library for dynamically masking sensitive data in objects. It supports both regular Java classes and Java Records, with conditional masking based on runtime ...
Data plays a crucial role in training learning-based methods for 3D point cloud registration. However, the real-world dataset is expensive to build, while rendering-based synthetic data suffers from ...
BELEN, N.M. (KRQE) – In a small town where resources can be limited, one local library is opening its doors to big ideas by offering free access to 3D printing. “I started looking for a place where I ...
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