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AIRBORNE LIDAR POINT CLOUD CLASSIFICATION FUSION WITH DIM POINT CLOUD [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020 Airborne Light Detection And Ranging (LiDAR) point clouds and images data fusion have been widely studied. However, with recent developments in photogrammetric technology, images can now provide dense image matching (DIM) point clouds.
M. Zhou, Z. Kang, Z. Wang, M. Kong
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Three-dimensional Point Cloud Model Segmentation Based on Significance and Weak Convexity [PDF]
Jisuanji gongcheng, 2018 The existing three-dimensional point cloud model segmentation algorithms cannot segment large components and small components at the same time.Aiming at this problem,in this paper,a segmentation method is proposed based on the significance and weak ...
ZHENG Lele,HAN Huiyan,HAN Xie
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magazén, 2022 The Space, Place, Sound, and Memory: Immersive Experiences of the Past project was led by dr James Cook, in collaboration with the Digital Documentation and Innovation team at Historic Environment Scotland, Soluis Heritage, the Binchois Consort, and ...
Cook, James, Mirashrafi, Sophia
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A method of point cloud data block registration with considering distance from point to surface [PDF]
Bulletin of the Polish Academy of Sciences: Technical Sciences, 2022 The number of scanner stations used to acquire point cloud data is limited, resulting in poor data registration. As a result, a cloud point block registration approach was proposed that took into account the distance between the point and the surface ...
Yinju Lu, Mingyi Duan, Shuguang Dai
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Sensors, 2022 As one of the best means of obtaining the geometry information of special shaped structures, point cloud data acquisition can be achieved by laser scanning or photogrammetry.
Xinming Pu +3 more
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MPCR-Net: Multiple Partial Point Clouds Registration Network Using a Global Template
Applied Sciences, 2021 With advancements in photoelectric technology and computer image processing technology, the visual measurement method based on point clouds is gradually being applied to the 3D measurement of large workpieces. Point cloud registration is a key step in 3D
Shijie Su +4 more
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COMPARISON OF UAV IMAGERY-DERIVED POINT CLOUD TO TERRESTRIAL LASER SCANNER POINT CLOUD [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2019 A small unmanned aerial vehicle (UAV) with survey-grade GNSS positioning is used to produce a point cloud for topographic mapping and 3D reconstruction.
S. Peterson, J. Lopez, R. Munjy
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Virtual Namesake Point Multi-Source Point Cloud Data Fusion Based on FPFH Feature Difference
Sensors, 2021 There are many sources of point cloud data, such as the point cloud model obtained after a bundle adjustment of aerial images, the point cloud acquired by scanning a vehicle-borne light detection and ranging (LiDAR), the point cloud acquired by ...
Li Zheng, Zhukun Li
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Remote Sensing, 2021 Point cloud classification is a key technology for point cloud applications and point cloud feature extraction is a key step towards achieving point cloud classification.
Yong Li +5 more
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Projection-Based Point Convolution for Efficient Point Cloud Segmentation
IEEE Access, 2022 Understanding point cloud has recently gained huge interests following the development of 3D scanning devices and the accumulation of large-scale 3D data.
Pyunghwan Ahn +4 more
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