Results 71 to 80 of about 6,440,801 (359)

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

RL-GAN-Net: A Reinforcement Learning Agent Controlled GAN Network for Real-Time Point Cloud Shape Completion

open access: yes, 2019
We present RL-GAN-Net, where a reinforcement learning (RL) agent provides fast and robust control of a generative adversarial network (GAN). Our framework is applied to point cloud shape completion that converts noisy, partial point cloud data into a ...
Kim, Young Min   +2 more
core   +1 more source

3D environment mapping using the Kinect V2 and path planning based on RRT algorithms [PDF]

open access: yes, 2016
This paper describes a 3D path planning system that is able to provide a solution trajectory for the automatic control of a robot. The proposed system uses a point cloud obtained from the robot workspace, with a Kinect V2 sensor to identify the interest ...
Aguilar Castillo, Wilbert Geovanny   +1 more
core   +3 more sources

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

Denoising and Inpainting for Point Clouds Compressed by V-PCC

open access: yesIEEE Access, 2021
With the development of immersive video, the quality of compressed 3D content has become an important issue. Video-based Point Cloud Compression (V-PCC) is a popular compression method for point cloud sequences; it achieves the highest quality among MPEG
Keming Cao, Pamela Cosman
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

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

Research on denoising of skinned point cloud based on multi-feature point parameter weight optimization

open access: yesHangkong gongcheng jinzhan, 2023
The effect of point cloud denoising is very important to the subsequent surface fitting and modeling design in 3D scanning process. How to extract feature points quickly and accurately has become a research hotspot.However,the key point of point cloud ...
LI Binpeng, MAO Jian, YANG Jie, CAI Hang
doaj   +1 more source

Progress and perspectives of point cloud intelligence

open access: yesGeo-Spatial Information Science, 2023
With the rapid development of reality capture methods, such as laser scanning and oblique photogrammetry, point cloud data have become the third most important data source, after vector maps and imagery.
Bisheng Yang, Nobert Haala, Zhen Dong
semanticscholar   +1 more source

TEASER: Fast and Certifiable Point Cloud Registration [PDF]

open access: yesIEEE Transactions on robotics, 2020
We propose the first fast and certifiable algorithm for the registration of two sets of three-dimensional (3-D) points in the presence of large amounts of outlier correspondences.
Heng Yang, J. Shi, L. Carlone
semanticscholar   +1 more source

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