Results 291 to 300 of about 105,450 (329)

Semantic Segmentation on Radar Point Clouds

2018 21st International Conference on Information Fusion (FUSION), 2018
Semantic segmentation on radar point clouds is a new challenging task in radar data processing. We demonstrate how this task can be performed and provide results on a large data set of manually labeled radar reflections. In contrast to previous approaches where generated feature vectors from clustered reflections were used as an input for a classifier,
Ole Schumann, Markus Hahn, Jurgen Dickmann, Christian Wohler   +3 more
openaire   +1 more source

Graph Regulation Network for Point Cloud Segmentation

IEEE Transactions on Pattern Analysis and Machine Intelligence
In point cloud, some regions typically exist nodes from multiple categories, i.e., these regions have both homophilic and heterophilic nodes. However, most existing methods ignore the heterophily of edges during the aggregation of the neighborhood node features, which inevitably mixes unnecessary information of heterophilic nodes and leads to blurred ...
Zijin Du, Jianqing Liang, Jiye Liang, Kaixuan Yao, Feilong Cao   +4 more
openaire   +2 more sources

Temporally consistent segmentation of point clouds

SPIE Proceedings, 2014
ABSTRACT We consider the problem of generating temporally consistent point cloud segmentations from streaming RGB-Ddata, where every incoming frame extends existing labels to new points or contributes new labels while main-taining the labels for pre-existing segments. Our approach generates an over-segmentation based on voxel cloudconnectivity, where a
Jason L. Owens, Philip R. Osteen, Kostas Daniilidis   +2 more
openaire   +1 more source

Point cloud segmentation through spectral clustering

The 2nd International Conference on Information Science and Engineering, 2010
Spectral clustering is a powerful technique in data analysis. We extend the spectral clustering method to point cloud segmentation. By connecting each point with its neighbors and assigning the edge a weight that describes the similarity, the point cloud can be represented as a graph. Then segmentation problem can be turned into a graph min-cut problem,
null Teng Ma, null Zhuangzhi Wu, null Lu Feng, null Pei Luo, null Xiang Long   +4 more
openaire   +1 more source

Cross-Cloud Consistency for Weakly Supervised Point Cloud Semantic Segmentation

IEEE Transactions on Neural Networks and Learning Systems
Weakly supervised point cloud semantic segmentation is an increasingly active topic, because fully supervised learning acquires well-labeled point clouds and entails high costs. The existing weakly supervised methods either need meticulously designed data augmentation for self-supervised learning or ignore the negative effects of learning on ...
Yachao Zhang, Yuxiang Lan, Yuan Xie, Cuihua Li, Yanyun Qu   +4 more
openaire   +2 more sources

3D point cloud segmentation: A survey

2013 6th IEEE Conference on Robotics, Automation and Mechatronics (RAM), 2013
3D point cloud segmentation is the process of classifying point clouds into multiple homogeneous regions, the points in the same region will have the same properties. The segmentation is challenging because of high redundancy, uneven sampling density, and lack explicit structure of point cloud data.
Anh Nguyen, Bac Le
openaire   +1 more source

Multi-resolution hierarchical point cloud segmenting

Second International Multi-Symposiums on Computer and Computational Sciences (IMSCCS 2007), 2007
Wanhong Zou, Xiuzi Ye
openaire   +1 more source

Point attention network for point cloud semantic segmentation

Science China Information Sciences, 2022
Dayong Ren, Zhengyi Wu, Jiawei Li, Piaopiao Yu, Jie Guo, Mingqiang Wei, Yanwen Guo   +6 more
openaire   +1 more source

Electronic Textiles for Wearable Point-of-Care Systems

Chemical Reviews, 2022
, Trinny Tat
exaly  

3D Point Cloud Semantic Segmentation System

The 10th International Conference on Computer and Communications Management, 2022
Kuan-Yu Liao, You-Sheng Xiao, Yu-Cheng Fan   +2 more
openaire   +1 more source