Results 11 to 20 of about 6,523,468 (262)
3D Point Cloud Simplification Based on k-Nearest Neighbor and Clustering
Advances in Multimedia, 2020 While the reconstruction of 3D objects is increasingly used today, the simplification of 3D point cloud, however, becomes a substantial phase in this process of reconstruction.
Abdelaaziz Mahdaoui, El Hassan Sbai
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Results of Monitoring 3D Point Cloud from Degotalls (Montserrat Massif, Spain)
, 2022 The dataset includes several files corresponding to the point clouds monitoring of Degotalls cliff during the period 2007-2020, one example of the Point Cloud Monitoring process (7 files), clusters for training and predictive stages with Cluster ...
García Sellés, David +5 more
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Quality Judgment of 3D Face Point Cloud Based on Feature Fusion
IEEE Access, 2022 With the rapid development of face recognition, the 3D face has gradually become the mainstream, 3D face point cloud quality judgment was an important process.
Gong Gao, Hong Liu, Hongyu Yang
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SEMANTIC ENRICHMENT OF 3D POINT CLOUDS USING 2D IMAGE SEGMENTATION [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2023 3D point cloud segmentation is computationally intensive due to the lack of inherent structural information and the unstructured nature of the point cloud data, which hinders the identification and connection of neighboring points.
A. Rai +3 more
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Learning from neighborhoods for 3D point cloud classification
, 2023 Kambhamettu, ChandraPoint clouds are a popular representation of 3D data collected from 3D or multiple-2D sensors. Non-sensor-based data, such as the 3D arrangement of atoms in enzymes, can also be represented as point clouds.
Sheshappanavar, Shivanand Venkanna
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Remote Sensing, 2020 The preference of three-dimensional representation of underground cable wells from two-dimensional symbols is a developing trend, and three-dimensional (3D) point cloud data is widely used due to its high precision.
Ming Huang +4 more
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3D‐FEGNet: A feature enhanced point cloud generation network from a single image
IET Computer Vision, 2023 Deep learning‐based single view 3D reconstruction is a hot topic in computer vision. However, predicting a more realistic 3D point cloud from a single image is an ill‐posed problem.
Ende Wang +4 more
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Detecting moving spheres in 3D point clouds via the 3D velocity Hough transform [PDF]
, 2013 We present a new approach to extracting moving spheres from a sequence of 3D point clouds. The new 3D velocity Hough Transform (3DVHT) incorporates motion parameters in addition to structural parameters in an evidence gathering process to accurately ...
Mark S. Nixon +7 more
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3D Point Cloud from Degotalls (Montserrat Massif, Spain). Period: 2007-2020
, 2022 This dataset includes a 3D Point Cloud from Degotalls Cliff in Montserrat Massif (Barcelona, Spain). The 3D Point Cloud is collected with Terrestrial Laser Scanner in Degotalls N and Degotalls E (South and North section), from 2007 until ...
García Sellés, David +3 more
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GSV-NET: A Multi-Modal Deep Learning Network for 3D Point Cloud Classification
Applied Sciences, 2022 Light Detection and Ranging (LiDAR), which applies light in the formation of a pulsed laser to estimate the distance between the LiDAR sensor and objects, is an effective remote sensing technology.
Long Hoang +3 more
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