Results 241 to 250 of about 381,180 (306)

Point Patches Contrastive Learning for Enhanced Point Cloud Completion

IEEE Transactions on Multimedia
In partial-to-complete point cloud completion, it is imperative that enabling every patch in the output point cloud faithfully represents the corresponding patch in partial input, ensuring similarity in terms of geometric content.
Ben Fei, Liwen Liu, Tianyue Luo, Weidong Yang, Lipeng Ma, Zhijun Li, Wen-Ming Chen   +6 more
semanticscholar   +2 more sources

Relationship-Based Point Cloud Completion

IEEE Transactions on Visualization and Computer Graphics, 2022
We propose a partial point cloud completion approach for scenes that are composed of multiple objects. We focus on pairwise scenes where two objects are in close proximity and are contextually related to each other, such as a chair tucked in a desk, a fruit in a basket, a hat on a hook and a flower in a vase.
Xi Zhao, Bowen Zhang, Jinji Wu, Ruizhen Hu, Taku Komura   +4 more
openaire   +2 more sources

Deep learning-based point cloud completion for MEP components

Automation in Construction
Hongzhe Yue, Qian Wang, Yangzhi Yan, Guanying Huang   +3 more
semanticscholar   +3 more sources

Point Cloud Completion Via Skeleton-Detail Transformer

IEEE Transactions on Visualization and Computer Graphics, 2023
Point cloud shape completion plays a central role in diverse 3D vision and robotics applications. Early methods used to generate global shapes without local detail refinement. Current methods tend to leverage local features to preserve the observed geometric details.
Wenxiao Zhang, Huajian Zhou, Zhen Dong, Jun Liu, Qingan Yan, Chunxia Xiao   +5 more
openaire   +2 more sources

GRNet: Gridding Residual Network for Dense Point Cloud Completion

European Conference on Computer Vision, 2020
Estimating the complete 3D point cloud from an incomplete one is a key problem in many vision and robotics applications. Mainstream methods (e.g., PCN and TopNet) use Multi-layer Perceptrons (MLPs) to directly process point clouds, which may cause the ...
Haozhe Xie, H. Yao, Shangchen Zhou, Jiageng Mao, Shengping Zhang, Wenxiu Sun   +5 more
semanticscholar   +1 more source

Enhanced discontinuity characterization in hard rock pillars using point cloud completion and DBSCAN clustering

International Journal of Rock Mechanics and Minings Sciences
Chuanqi Li, Jian Zhou, Kun Du, Mingli Tao   +3 more
semanticscholar   +3 more sources

Point cloud completion using extrusions

2012 12th IEEE-RAS International Conference on Humanoid Robots (Humanoids 2012), 2012
In this paper, we propose modelling objects using extrusion-based representations, which can be used to complete partial point clouds. These extrusion-based representations are particularly well-suited for modelling basic household objects that robots will often need to manipulate. In order to efficiently complete a partial point cloud, we first detect
Oliver Kroemer, Heni Ben Amor, Marco Ewerton, Jan Peters   +3 more
openaire   +1 more source

GenPC: Zero-shot Point Cloud Completion via 3D Generative Priors

Computer Vision and Pattern Recognition
Existing point cloud completion methods, which typically depend on predefined synthetic training datasets, encounter significant challenges when applied to out-of-distribution, real-world scans.
An Li, Zhe Zhu, Mingqiang Wei
semanticscholar   +1 more source