Results 31 to 40 of about 5,366,984 (266)
Cloud business models and sustainability: impacts for businesses and e-research [PDF]
, 2010 This paper reviews current cloud computing business models and presents proposals on how organisations can achieve sustainability by adopting appropriate models.
De Roure, David +5 more
core +5 more sources
Remote Sensing, 2021 Recently, unstructured 3D point clouds have been widely used in remote sensing application. However, inevitable is the appearance of an incomplete point cloud, primarily due to the angle of view and blocking limitations. Therefore, point cloud completion
Weichao Wu +4 more
doaj +1 more source
Remote Sensing, 2023 Simultaneous Localization and Mapping (SLAM) forms the foundation of vehicle localization in autonomous driving. Utilizing high-precision 3D scene maps as prior information in vehicle localization greatly assists in the navigation of autonomous vehicles ...
Haihan Zhang +4 more
doaj +1 more source
Learning Local Displacements for Point Cloud Completion
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022 We propose a novel approach aimed at object and semantic scene completion from a partial scan represented as a 3D point cloud. Our architecture relies on three novel layers that are used successively within an encoder-decoder structure and specifically developed for the task at hand.
Yida Wang 0001 +3 more
openaire +3 more sources
SCPNet: Semantic Scene Completion on Point Cloud
2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023 CVPR ...
Zhaoyang Xia +7 more
openaire +4 more sources
Point Cloud Completion by Learning Shape Priors [PDF]
2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2020 In view of the difficulty in reconstructing object details in point cloud completion, we propose a shape prior learning method for object completion. The shape priors include geometric information in both complete and the partial point clouds. We design a feature alignment strategy to learn the shape prior from complete points, and a coarse to fine ...
Xiaogang Wang 0008 +2 more
openaire +2 more sources
Sparse-to-Dense Multi-Encoder Shape Completion of Unstructured Point Cloud
IEEE Access, 2020 Unstructured point clouds are a representative shape representation of real-world scenes in 3D vision and graphics. Incompletion inevitably arises, due to the way the set of unorganized points is captured, e.g., as fusion of depth images, merged laser ...
Yanjun Peng +6 more
doaj +1 more source
DF-Net: Dynamic and Folding Network for 3D Point Cloud Completion
IEEE Access, 2022 The development of 3D sensors encourages researchers to process point cloud data directly. Point cloud data requires less memory but conveys more detailed 3D shape information.
Yao Xiao +4 more
doaj +1 more source
Multi-Branch and Multi-Scale Point Cloud Completion Network [PDF]
Jisuanji gongchengThis paper proposes a point cloud completion network based on multi-branch multi-scale feature fusion because the existing networks cannot extract high-quality global and local features of point clouds simultaneously and lose point cloud detail and ...
CHEN Xiaolei, WANG Rong
doaj +1 more source
Two-branch Shape Complement Network for Feature Missing Splicing Mode
Journal of Harbin University of Science and Technology, 2023 Aiming at the problem of low fidelity of reverse geometric reconstruction of bowl-shaped cultural relics model due to the missing fragments , a 3D point cloud shape completion network based on double discrimination decoder is proposed.
SUNJin, MAHaotian, LEIZhenting, LIANGLi
doaj +1 more source