Results 61 to 70 of about 61,541 (298)

A Deep Neural Network Using Double Self-Attention Mechanism for ALS Point Cloud Segmentation

IEEE Access, 2022
Airborne laser scanning (ALS) point cloud segmentation is an essential procedure for 3D data understanding and applications. This task is challenging due to the unstructured, disordered, and sparse distribution of the point cloud. PointNet++
Lili Yu, Haiyang Yu, Shuai Yang
doaj   +1 more source

3D Point Cloud for Objects and Scenes Classification, Recognition, Segmentation, and Reconstruction: A Review [PDF]

Cloud Computing and Data Science, 2023
Three-dimensional (3D) point cloud analysis has become one of the attractive subjects in realistic imaging and machine visions due to its simplicity, flexibility and powerful capacity of visualization. Actually, the representation of scenes and buildings
O. Elharrouss, Kawther Hassine, Ayman Zayyan, Zakariyae Chatri, Noor Almaadeed, S. Al-maadeed, Khalid Abualsaud   +6 more
semanticscholar   +1 more source

3D Segmentation of Humans in Point Clouds with Synthetic Data

2023 IEEE/CVF International Conference on Computer Vision (ICCV), 2023
ISBN:979-8-3503-0719 ...
Ayça Takmaz, Jonas Schult, Irem Kaftan, Mertcan Akçay, Bastian Leibe, Robert W. Sumner, Francis Engelmann, Siyu Tang 0001   +7 more
openaire   +3 more sources

A comprehensive overview of deep learning techniques for 3D point cloud classification and semantic segmentation [PDF]

Machine Vision and Applications
Point cloud analysis has a wide range of applications in many areas such as computer vision, robotic manipulation, and autonomous driving. While deep learning has achieved remarkable success on image-based tasks, there are many unique challenges faced by
Sushmita Sarker, Prithul Sarker, Gunner Stone, Ryan Gorman, Alireza Tavakkoli, G. Bebis, J. Sattarvand   +6 more
semanticscholar   +1 more source

Co-segmentation of 3D Point Cloud Shape Clusters Based on Weakly Supervised Learning [PDF]

Jisuanji kexue yu tansuo, 2022
With the rapid development of 3D acquisition technology, point cloud data have gradually become one of the basic data formats to represent 3D shapes, which can retain more raw geometric information of the shape in 3D space.
YANG Jun, LEI Xiwen
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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

PAIRWISE LINKAGE FOR POINT CLOUD SEGMENTATION [PDF]

ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2016
In this paper, we first present a novel hierarchical clustering algorithm named Pairwise Linkage (P-Linkage), which can be used for clustering any dimensional data, and then effectively apply it on 3D unstructured point cloud segmentation.
X. Lu, J. Yao, J. Tu, K. Li, L. Li, Y. Liu   +5 more
doaj   +1 more source

Soybean-MVS: Annotated Three-Dimensional Model Dataset of Whole Growth Period Soybeans for 3D Plant Organ Segmentation

Agriculture, 2023
The study of plant phenotypes based on 3D models has become an important research direction for automatic plant phenotype acquisition. Building a labeled three-dimensional dataset of the whole growth period can help the development of 3D crop plant ...
Yongzhe Sun, Zhixin Zhang, Kai Sun, Shuai Li, Jianglin Yu, Linxiao Miao, Zhanguo Zhang, Yang Li, Hongjie Zhao, Zhenbang Hu, Dawei Xin, Qingshan Chen, Rongsheng Zhu   +12 more
doaj   +1 more source

A domain adaptation framework for cross-modality SAR 3D reconstruction point clouds segmentation utilizing LiDAR data

International Journal of Applied Earth Observations and Geoinformation
Synthetic aperture radar (SAR) 3D point clouds reconstruction can eliminate the problems of layover in 2D SAR image projections, the recognition of the reconstructed point cloud can significantly enhance target identification and information extraction ...
Muhan Wang, Xiaolan Qiu, Zhe Zhang, Silin Gao   +3 more
doaj   +1 more source

Combined Edge- and Stixel-based Object Detection in 3D Point Cloud

Sensors, 2019
Environment perception is critical for feasible path planning and safe driving for autonomous vehicles. Perception devices, such as camera, LiDAR (Light Detection and Ranging), IMU (Inertial Measurement Unit), etc., only provide raw sensing data with no ...
Fangchao Hu, Dong Yang, Yinguo Li
doaj   +1 more source