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A Survey of Point Cloud Completion

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Point 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, Zhiyang Zhi, Ting Han, Yiping Chen, Jun Chen, Cheng Wang, Ming Cheng, Xinchang Zhang, Nannan Qin, Lingfei Ma   +9 more
doaj   +5 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
doaj   +4 more sources

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, Runze Tian, Xuanjun Wang, Xiaohui Liang   +3 more
doaj   +2 more sources

Data-Driven Point Cloud Objects Completion [PDF]

Sensors, 2019
With the development of the laser scanning technique, it is easier to obtain 3D large-scale scene rapidly. However, many scanned objects may suffer serious incompletion caused by the scanning angles or occlusion, which has severely impacted their future ...
Yang Zhang, Zhen Liu, Xiang Li, Yu Zang
doaj   +3 more sources

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, Yoshitsugu Manabe, Noriko Yata   +2 more
doaj   +2 more sources

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, Binbin Han, Shan Zeng, Shengyong Xu, Cao Yuan   +4 more
doaj   +2 more sources

Learning Contours for Point Cloud Completion

Remote Sensing, 2023
The integrity of a point cloud frequently suffers from discontinuous material surfaces or coarse sensor resolutions. Existing methods focus on reconstructing the overall structure, but salient points or small irregular surfaces are difficult to be ...
Jiabo Xu, Zeyun Wan, Jingbo Wei
doaj   +2 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, Guannan Si, Xinyu Liang, Zhaoliang An, Pengxin Tian, Fengyu Zhou   +5 more
doaj   +2 more sources

Multi-stage refinement network for point cloud completion based on geodesic attention. [PDF]

Sci Rep
The attention mechanism has significantly progressed in various point cloud tasks. Benefiting from its significant competence in capturing long-range dependencies, research in point cloud completion has achieved promising results.
Chang Y, Wang K.
europepmc   +2 more sources

Adaptive Symmetry Self-Matching for 3D Point Cloud Completion of Occluded Tomato Fruits in Complex Canopy Environments. [PDF]

Plants (Basel)
As a globally important cash crop, the optimization of tomato yield and quality is strategically significant for food security and sustainable agricultural development.
Wang W, Lin C, Shui H, Zhang K, Zhai R.
europepmc   +2 more sources