Results 41 to 50 of about 19,175 (257)

Semantic Segmentation Method for Sparse Point Clouds Based on Straight Flow Completion and Multi-Feature Fusion

Sensors
Point cloud semantic segmentation is a vital task in 3D computer vision. However, the inherent sparsity of point clouds complicates the segmentation process.
Tong Zheng, Zhiyuan Meng, Chongchong Yu, Tao Xie, Yewang Xu   +4 more
doaj   +1 more source

SS-IPLE: Semantic Segmentation of Electric Power Corridor Scene and Individual Power Line Extraction From UAV-Based Lidar Point Cloud

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023
Key objects’ semantic segmentation and power line extraction from the electric power corridor point cloud are critical steps in power line inspection.
Xiuning Liu, Feng Shuang, Yong Li, Liqiang Zhang, Xingwen Huang, Jianchuang Qin   +5 more
doaj   +1 more source

Asymmetric Network Based on Feedback and Transformer for Multispectral LiDAR Point Cloud Semantic Segmentation

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
The 3-D point cloud semantic segmentation extends the development of computer vision. Accurate point cloud semantic segmentation is a fundamental problem in point cloud applications.
Zhiwen Zhang, Yuanxi Peng, Qi Zhang, Teng Li   +3 more
doaj   +1 more source

Associatively Segmenting Instances and Semantics in Point Clouds [PDF]

2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019
A 3D point cloud describes the real scene precisely and intuitively.To date how to segment diversified elements in such an informative 3D scene is rarely discussed. In this paper, we first introduce a simple and flexible framework to segment instances and semantics in point clouds simultaneously. Then, we propose two approaches which make the two tasks
Xinlong Wang, Shu Liu 0005, Xiaoyong Shen, Chunhua Shen, Jiaya Jia   +4 more
openaire   +2 more sources

3D image segmentation supported by a point cloud

Discrete and Continuous Dynamical Systems - S, 2021
In this paper, we deal with the 3D image segmentation where the segmented surface is reconstructed by using 3D point cloud data and 3D digital image information. For this task, we apply a mathematical model and numerical method based on the so-called level set algorithm. This method solves surface reconstruction by the application of advection equation
Kósa, Balázs, Mikula, Karol, Olunna Uba, Markjoe, Weberling, Antonia, Christodoulou, Neophytos, Zernicka-Goetz, Magdalena   +5 more
openaire   +4 more sources

DTNLS: 3D Point Cloud Segmentation Based on 2D Image and 3D Point Cloud Double Texture Feature

IEEE Access
Panoramic segmentation of 3D point clouds is an essential and challenging technology for robots with 3D detection and measurement capabilities. In order to fuse the color information of 2D image pixels with the spatial position information of the 3D ...
Zhiguang Liu, Xiaoxiao Yan, Jiahui Zhao, Yong Shi, Fei Yu, Jian Zhao   +5 more
doaj   +1 more source

SEGCloud: Semantic Segmentation of 3D Point Clouds [PDF]

2017 International Conference on 3D Vision (3DV), 2017
3D semantic scene labeling is fundamental to agents operating in the real world. In particular, labeling raw 3D point sets from sensors provides fine-grained semantics. Recent works leverage the capabilities of Neural Networks (NNs), but are limited to coarse voxel predictions and do not explicitly enforce global consistency.
Lyne P. Tchapmi, Christopher B. Choy, Iro Armeni, JunYoung Gwak, Silvio Savarese   +4 more
openaire   +2 more sources

MagmaFlow: A desktop platform for artificial intelligence‐driven expression analysis

FEBS Open Bio, EarlyView.
MagmaFlow is a free, no‐code platform for gene expression analysis. It generates interactive volcano plots, links genes to literature, pathways, and diseases, prioritizes candidates using millions of publications, identifies affected biological processes, builds network diagrams, and exports publication‐ready figures and reports for macOS and Windows ...
Carlos E. Buss, Ao Li, Eduardo H. Gilglioni, Mayank Bansal, Sumeet Pal Singh, Latifa Bakiri, Alessandra K. Cardozo, Esteban N. Gurzov   +7 more
wiley   +1 more source

Research on Point Cloud Segmentation Method Based on Local and Global Feature Extraction of Electricity Equipment

IEEE Access
Intelligent inspection has become an important trend in the development of substation operation and maintenance technology, and fast and accurate point cloud segmentation of the large amount of point cloud data collected in the process of intelligent ...
Ze Zhang, Weijun Shi, Danyin Wen, Yan Wu, Jiajia Zhou, Kaiming Bian   +5 more
doaj   +1 more source

A REVIEW OF POINT CLOUDS SEGMENTATION AND CLASSIFICATION ALGORITHMS [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2017
Abstract. Today 3D models and point clouds are very popular being currently used in several fields, shared through the internet and even accessed on mobile phones. Despite their broad availability, there is still a relevant need of methods, preferably automatic, to provide 3D data with meaningful attributes that characterize and provide significance to
GRILLI, ELEONORA, Menna, F., REMONDINO, FABIO   +2 more
openaire   +4 more sources