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Mesh-based DGCNN: Semantic segmentation of textured 3-d urban scenes
Textured 3-D mesh is one of the final user products in photogrammetry and remote sensing.
However, research on the semantic segmentation of complex urban scenes represented by …
However, research on the semantic segmentation of complex urban scenes represented by …
[HTML][HTML] MeshNet-SP: A semantic urban 3D mesh segmentation network with sparse prior
A textured urban 3D mesh is an important part of 3D real scene technology. Semantically
segmenting an urban 3D mesh is a key task in the photogrammetry and remote sensing …
segmenting an urban 3D mesh is a key task in the photogrammetry and remote sensing …
Robust mesh segmentation using feature-aware region fusion
This paper introduces a simple but powerful segmentation algorithm for 3D meshes. Our
algorithm consists of two stages: over-segmentation and region fusion. In the first stage …
algorithm consists of two stages: over-segmentation and region fusion. In the first stage …
A novel method using 3D interest points to place markers on a large object in augmented reality
SY Kim, YS Kim - Applied Sciences, 2024 - mdpi.com
Multiple markers are generally used in augmented reality (AR) applications that require
accurate registration, such as medical and industrial fields. In AR using these markers, there …
accurate registration, such as medical and industrial fields. In AR using these markers, there …
Task and Motion Planning of Service Robot Arm in Unknown Environment Based on Virtual Voxel-semantic Space
L Wang, X Wang, J Huang, M Liu - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
A task and motion planning method for service robot arm based on 3D voxel-semantic maps
is proposed, which can realize virtual environment map**, manipulator planning and …
is proposed, which can realize virtual environment map**, manipulator planning and …
TerrainMesh: Metric-Semantic Terrain Reconstruction From Aerial Images Using Joint 2-D-3-D Learning
This article considers outdoor terrain map** using RGB images obtained from an aerial
vehicle. While feature-based localization and map** techniques deliver real-time vehicle …
vehicle. While feature-based localization and map** techniques deliver real-time vehicle …