Results 1 to 10 of about 1,041,889 (332)

AIRBORNE LIDAR POINT CLOUD CLASSIFICATION FUSION WITH DIM POINT CLOUD [PDF]

open access: yesThe 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
doaj   +3 more sources

Adaptive Clustering for Point Cloud

open access: yesSensors
The point cloud segmentation method plays an important role in practical applications, such as remote sensing, mobile robots, and 3D modeling. However, there are still some limitations to the current point cloud data segmentation method when applied to ...
Zitao Lin   +6 more
doaj   +3 more sources

Classification of ALS Point Cloud with Improved Point Cloud Segmentation and Random Forests [PDF]

open access: yesRemote Sensing, 2017
This paper presents an automated and effective framework for classifying airborne laser scanning (ALS) point clouds. The framework is composed of four stages: (i) step-wise point cloud segmentation, (ii) feature extraction, (iii) Random Forests (RF ...
Huan Ni, Xiangguo Lin, Jixian Zhang
doaj   +3 more sources

PCT: Point cloud transformer [PDF]

open access: yesComputational Visual Media, 2021
The irregular domain and lack of ordering make it challenging to design deep neural networks for point cloud processing. This paper presents a novel framework named Point Cloud Transformer(PCT) for point cloud learning. PCT is based on Transformer, which achieves huge success in natural language processing and displays great potential in image ...
Meng-Hao Guo   +5 more
openaire   +5 more sources

Georeferenced Point Clouds: A Survey of Features and Point Cloud Management [PDF]

open access: yesISPRS International Journal of Geo-Information, 2013
This paper presents a survey of georeferenced point clouds. Concentration is, on the one hand, put on features, which originate in the measurement process themselves, and features derived by processing the point cloud. On the other hand, approaches for the processing of georeferenced point clouds are reviewed.
Johannes Otepka   +4 more
openaire   +5 more sources

Point Cloud to Sound Cloud

open access: yesmagazén, 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
doaj   +1 more source

Geodesics on Point Clouds [PDF]

open access: yesMathematical Problems in Engineering, 2014
We present a novel framework to compute geodesics on implicit surfaces and point clouds. Our framework consists of three parts, particle based approximate geodesics on implicit surfaces, Cartesian grid based approximate geodesics on point clouds, and geodesic correction.
Hongchuan Yu, Jian J. Zhang, Zheng Jiao
openaire   +2 more sources

Feature Analysis of Scanning Point Cloud of Structure and Research on Hole Repair Technology Considering Space-Ground Multi-Source 3D Data Acquisition

open access: yesSensors, 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
doaj   +1 more source

A method of point cloud data block registration with considering distance from point to surface [PDF]

open access: yesBulletin 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
doaj   +1 more source

Picking Towels in Point Clouds [PDF]

open access: yesSensors, 2019
Picking clothing has always been a great challenge in laundry or textile industry automation, especially when some clothes are of the same colors, material and entangled with each other. In order to solve the problem, we present a grasp pose determination method to pick towels placed in a laundry basket or on a table. In our method, it is not needed to
Wang, Xiaoman   +5 more
openaire   +3 more sources

Home - About - Disclaimer - Privacy