Results 41 to 50 of about 1,041,889 (332)

Power-Line Extraction Method for UAV Point Cloud Based on Region Growing Algorithm

open access: yes南方能源建设, 2023
[Introduction] Since the power line has the characteristics of long transmission distance and a complex spatial environment, the UAV LiDAR point cloud technology can completely and efficiently obtain the geometric information of the power line and its ...
Xingyi LI, Wei WU, Zhiyao ZHAO
doaj   +1 more source

Optimization Model for Planning Precision Grasps with Multi-Fingered Hands

open access: yes, 2019
Precision grasps with multi-fingered hands are important for precise placement and in-hand manipulation tasks. Searching precision grasps on the object represented by point cloud, is challenging due to the complex object shape, high-dimensionality ...
Fan, Yongxiang   +2 more
core   +1 more source

DENOISING OF 3D POINT CLOUDS [PDF]

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2019
Abstract. A method to remove random errors from 3D point clouds is proposed. It is based on the estimation of a local geometric descriptor of each point. For mobile mapping LiDAR and airborne LiDAR, a combined standard mesurement uncertainty of the LiDAR system may supplement a geometric approach.
E. Mugner, N. Seube
openaire   +4 more sources

An Advanced Vehicle Body Part Inspection Scheme Based on Scattered Point Cloud Data

open access: yesApplied Sciences, 2020
To further improve the efficiency and accuracy of the vehicle part inspection process, this paper designs an accurate and efficient vehicle body part inspection framework based on scattered point cloud data (PCD).
Yang Yang, Ming Li, Xie Ma
doaj   +1 more source

Colored Point Cloud Completion for a Head Using Adversarial Rendered Image Loss

open access: yesJournal of Imaging, 2022
Recent advances in depth measurement and its utilization have made point cloud processing more critical. Additionally, the human head is essential for communication, and its three-dimensional data are expected to be utilized in this regard.
Yuki Ishida   +2 more
doaj   +1 more source

Chemoresistome mapping in individual breast cancer patients unravels diversity in dynamic transcriptional adaptation

open access: yesMolecular Oncology, EarlyView.
This study used longitudinal transcriptomics and gene‐pattern classification to uncover patient‐specific mechanisms of chemotherapy resistance in breast cancer. Findings reveal preexisting drug‐tolerant states in primary tumors and diverse gene rewiring patterns across patients, converging on a few dysregulated functional modules. Despite receiving the
Maya Dadiani   +14 more
wiley   +1 more source

Three-Dimensional Point Cloud Applications, Datasets, and Compression Methodologies for Remote Sensing: A Meta-Survey

open access: yesSensors
This meta-survey provides a comprehensive review of 3D point cloud (PC) applications in remote sensing (RS), essential datasets available for research and development purposes, and state-of-the-art point cloud compression methods.
Emil Dumic, Luís A. da Silva Cruz
doaj   +1 more source

CLASSIFICATION OF BIG POINT CLOUD DATA USING CLOUD COMPUTING [PDF]

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2015
Point cloud data plays an significant role in various geospatial applications as it conveys plentiful information which can be used for different types of analysis.
K. Liu, J. Boehm
doaj   +1 more source

Genomics‐led approach to drug testing in models of undifferentiated pleomorphic sarcoma

open access: yesMolecular Oncology, EarlyView.
GA text Genomic data from undifferentiated pleomorphic sarcoma patients and preclinical models were used to inform a targeted drug screen. Selected compounds were tested in 2D and 3D cultures of UPS cell lines. A combination of trametinib and infigratinib was synergistic in the majority of UPS cell lines tested, which was further confirmed in an ex ...
Piotr J. Manasterski   +19 more
wiley   +1 more source

Deep Learning Point Cloud Odometry

open access: yesU.Porto Journal of Engineering, 2021
Achieving persistent and reliable autonomy for mobile robots in challenging field mission scenarios is a long-time quest for the Robotics research community. Deep learning-based LIDAR odometry is attracting increasing research interest as a technological
Bernardo Teixeira, Hugo Silva
doaj   +1 more source

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