SPCNet: Stepwise Point Cloud Completion Network
Computer Graphics Forum, 2022 AbstractHow will you repair a physical object with large missings? You may first recover its global yet coarse shape and stepwise increase its local details. We are motivated to imitate the above physical repair procedure to address the point cloud completion task.
Fei Hu +7 more
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Graph-Guided Deformation for Point Cloud Completion [PDF]
IEEE Robotics and Automation Letters, 2021 RAL with IROS ...
Jieqi Shi +3 more
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Building-PCC: Building Point Cloud Completion Benchmarks [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information SciencesWith the rapid advancement of 3D sensing technologies, obtaining 3D shape information of objects has become increasingly convenient. Lidar technology, with its capability to accurately capture the 3D information of objects at long distances, has been ...
W. Gao, R. Peters, J. Stoter
doaj +4 more sources
Partition-Based Point Cloud Completion Network with Density Refinement [PDF]
Entropy, 2023 In this paper, we propose a novel method for point cloud complementation called PADPNet. Our approach uses a combination of global and local information to infer missing elements in the point cloud.
Jianxin Li +5 more
doaj +2 more sources
Point Cloud Completion Network Applied to Vehicle Data [PDF]
Sensors, 2022 With the development of autonomous driving, augmented reality, and other fields, it is becoming increasingly important for machines to more accurately and comprehensively perceive their surrounding environment.
Xuehan Ma, Xueyan Li, Junfeng Song
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FBNet: Feedback Network for Point Cloud Completion [PDF]
, 2022 The rapid development of point cloud learning has driven point cloud completion into a new era. However, the information flows of most existing completion methods are solely feedforward, and high-level information is rarely reused to improve low-level feature learning. To this end, we propose a novel Feedback Network (FBNet) for point cloud completion,
Xuejun Yan +7 more
core +4 more sources
A Self-Structure-Enhanced Algorithm for Pig Point Cloud Completion [PDF]
AnimalsThree-dimensional phenotypic data of pigs provide important information for evaluating growth, nutritional status and health, and they are fundamental to precision feeding, performance assessments, genetic selection and intelligent livestock management ...
Zhankang Xu +6 more
doaj +2 more sources
Structure-Preserving Point Cloud Completion with Symmetry-Guided Progressive Refinement [PDF]
SensorsPoint cloud completion from partial observations remains challenging due to the trade-off between preserving global structural consistency and recovering fine-grained local details, especially under severe incompleteness.
Shuanfeng Zhao, Yixin Niu
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Semantic Segmentation Method for Sparse Point Clouds Based on Straight Flow Completion and Multi-Feature Fusion [PDF]
SensorsPoint cloud semantic segmentation is a vital task in 3D computer vision. However, the inherent sparsity of point clouds complicates the segmentation process.
Tong Zheng +4 more
doaj +2 more sources
Point Cloud Completion Network Based on Multi-Dimensional Adaptive Feature Fusion and Informative Channel Attention Mechanism [PDF]
SensorsWith the continuous advancement of 3D perception technology, point cloud data has found increasingly widespread application. However, the presence of holes in point cloud data caused by device limitations and environmental interference severely restricts
Di Tian +3 more
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