Results 281 to 290 of about 105,450 (329)

Extraction, Segmentation, and 3D Reconstruction of Wire Harnesses from Point Clouds for Robot Motion Planning. [PDF]

Sensors (Basel)
Komoriya S, Masuda H.
europepmc   +1 more source

Nutritional assessment system integrating semantic segmentation and point cloud modeling techniques. [PDF]

Sci Rep
Lin CH, Huang JT.
europepmc   +1 more source

REHEARSE-3D: A Multi-Modal Emulated Rain Dataset for 3D Point Cloud De-Raining. [PDF]

Sensors (Basel)
Raisuddin AM, Holmblad J, Haghighi H, Poledna Y, Drechsler MF, Donzella V, Aksoy EE.   +6 more
europepmc   +1 more source

KAN-GLNet: An enhanced PointNet++ model for canola silique segmentation and counting. [PDF]

PLoS One
Liu J, Zhou B, Liu J, Zhang X, Wei J, Zhang Y, Wu J, Wu C, Hu D.   +8 more
europepmc   +1 more source

Deep segmentation of 3+1D radar point cloud for real-time roadside traffic user detection. [PDF]

Sci Rep
Bhanderi S, Agrawal S, Elger G.
europepmc   +1 more source

End-to-end Fusion3DGS: label-efficient multi-modal 3D instance segmentation based on Gaussian splatting. [PDF]

Sci Rep
Wang Z, Luo C, Zhang J, Li J, Chen Y, Zhang G.   +5 more
europepmc   +1 more source

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Plane segmentation from point clouds

Pollack Periodica, 2018
Recently, attempts have been made to automate data acquisition, which is also related to efforts to automate data processing. The paper deals with the automation of terrestrial laser scanning data processing. The approaches for point cloud segmentation are briefly described.
Honti, Richard, Erdélyi, Ján, Kopáčik, Alojz   +2 more
openaire   +2 more sources

Interactive Learning for Point‐Cloud Motion Segmentation

Computer Graphics Forum, 2013
AbstractSegmenting a moving foreground (fg) from its background (bg) is a fundamental step in many Machine Vision and Computer Graphics applications. Nevertheless, hardly any attempts have been made to tackle this problem in dynamic 3D scanned scenes. Scanned dynamic scenes are typically challenging due to noise and large missing parts.
Yerry Sofer, Tal Hassner, Andrei Sharf
openaire   +1 more source

TLS point cloud segmentation based on points features

2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2017
This article proposes a point cloud segmentation method by merely relying on the spatial and echo characteristics of the point cloud of the terrestrial laser scanning (TLS). Firstly, terrain point cloud and off-terrain point cloud will be separated according to their own spatial characteristics. Then further segmentation to the terrain point cloud part
Jiang Hongbo, Jiao Qisong
openaire   +1 more source

Automated Sphere Segmentation from Point Clouds

Pollack Periodica, 2020
Nowadays huge datasets can be collected in a relatively short time. After capturing these data sets the next step is their processing. Automation of the processing steps can contribute to efficiency increase, to reduction of the time needed for processing, and to reduction of interactions of the user.
Honti, Richard, Erdélyi, Ján, Kopáčik, Alojz   +2 more
openaire   +2 more sources