Results 31 to 40 of about 20,533 (189)
Robust Point Cloud Registration Network for Complex Conditions. [PDF]
Sensors (Basel), 2023 Point cloud registration is widely used in autonomous driving, SLAM, and 3D reconstruction, and it aims to align point clouds from different viewpoints or poses under the same coordinate system. However, point cloud registration is challenging in complex
Hao R +10 more
europepmc +2 more sources
Point Cloud Registration With Object-Centric Alignment
IEEE Access, 2022 Point cloud registration is a core task in 3D perception, which aims to align two point clouds. Moreover, the registration of point clouds with low overlap represents a harder challenge, where previous methods tend to fail.
Bare Luka Zagar +3 more
doaj +1 more source
Best Buddies Registration for Point Clouds [PDF]
, 2021 Accepted to ACCV ...
Drory, Amnon +3 more
openaire +2 more sources
Gravity-constrained point cloud registration
2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2022 Preprint. Submitted to IROS 2022.
Vladimír Kubelka +2 more
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MPCR-Net: Multiple Partial Point Clouds Registration Network Using a Global Template
Applied Sciences, 2021 With advancements in photoelectric technology and computer image processing technology, the visual measurement method based on point clouds is gradually being applied to the 3D measurement of large workpieces. Point cloud registration is a key step in 3D
Shijie Su +4 more
doaj +1 more source
Learning Multiview 3D Point Cloud Registration [PDF]
2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020 CVPR2020 - Camera ...
Zan Gojcic +4 more
openaire +3 more sources
A comprehensive survey on point cloud registration
CoRR, 2021 review ...
Xiaoshui Huang +3 more
openaire +2 more sources
A Novel Point Cloud Registration Method Based on ROPNet. [PDF]
Sensors (Basel), 2023 Point cloud registration is a crucial preprocessing step for point cloud data analysis and applications. Nowadays, many deep-learning-based methods have been proposed to improve the registration quality.
Li Y, Yang F, Zheng W.
europepmc +2 more sources
2.5D Multi-View Gait Recognition Based on Point Cloud Registration [PDF]
, 2014 This paper presents a method for modeling a 2.5-dimensional (2.5D) human body and extracting the gait features for identifying the human subject.
Tjahjadi, Tardi +7 more
core +1 more source
Multi-Feature Registration of Point Clouds [PDF]
Remote Sensing, 2017 Light detection and ranging (LiDAR) has become a mainstream technique for rapid acquisition of 3-D geometry. Current LiDAR platforms can be mainly categorized into spaceborne LiDAR system (SLS), airborne LiDAR system (ALS), mobile LiDAR system (MLS), and terrestrial LiDAR system (TLS).
Tzu-Yi Chuang, Jen-Jer Jaw
openaire +2 more sources