A Survey of Point Cloud Completion
IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingPoint cloud completion is able to estimate the complete point cloud starting from the missing point cloud, which obtains higher quality point cloud data for widely used in remote sensing 3-D modeling, medical imaging, robot vision, etc.
Zhiyun Zhuang +9 more
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End-to-End Point Cloud Completion Network with Attention Mechanism [PDF]
Sensors, 2022 We propose a conceptually simple, general framework and end-to-end approach to point cloud completion, entitled PCA-Net. This approach differs from the existing methods in that it does not require a “simple” network, such as multilayer perceptrons (MLPs),
Yaqin Li +4 more
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Part-Aware Point Cloud Completion through Multi-Modal Part Segmentation [PDF]
Entropy, 2023 Point cloud completion aims to generate high-resolution point clouds using incomplete point clouds as input and is the foundational task for many 3D visual applications.
Fuyang Yu +3 more
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Colored Point Cloud Completion for a Head Using Adversarial Rendered Image Loss [PDF]
Journal of Imaging, 2022 Recent advances in depth measurement and its utilization have made point cloud processing more critical. Additionally, the human head is essential for communication, and its three-dimensional data are expected to be utilized in this regard.
Yuki Ishida +2 more
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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
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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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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
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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
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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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