Results 61 to 70 of about 6,440,801 (359)
Colored Point Cloud Completion for a Head Using Adversarial Rendered Image Loss
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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Three-Dimensional Point Cloud Semantic Segmentation for Cultural Heritage: A Comprehensive Review
Remote Sensing, 2023 In the cultural heritage field, point clouds, as important raw data of geomatics, are not only three-dimensional (3D) spatial presentations of 3D objects but they also have the potential to gradually advance towards an intelligent data structure with ...
Su Yang, M. Hou, Songnian Li
semanticscholar +1 more source
Point-GNN: Graph Neural Network for 3D Object Detection in a Point Cloud [PDF]
Computer Vision and Pattern Recognition, 2020 In this paper, we propose a graph neural network to detect objects from a LiDAR point cloud. Towards this end, we encode the point cloud efficiently in a fixed radius near-neighbors graph. We design a graph neural network, named Point-GNN, to predict the
Weijing Shi, R. Rajkumar
semanticscholar +1 more source
Remote Sensing, 2020 Because of low accuracy and density of crop point clouds obtained by the Unmanned Aerial Vehicle (UAV)-borne Light Detection and Ranging (LiDAR) scanning system of UAV, an integrated navigation and positioning optimization method based on the grasshopper
Jian Chen +4 more
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Point Cloud Audio Processing [PDF]
2021 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), 2021 Most audio processing pipelines involve transformations that act on fixed-dimensional input representations of audio. For example, when using the Short Time Fourier Transform (STFT) the DFT size specifies a fixed dimension for the input representation. As a consequence, most audio machine learning models are designed to process fixed-size vector inputs
Subramani, Krishna, Smaragdis, Paris
openaire +2 more sources
An Advanced Vehicle Body Part Inspection Scheme Based on Scattered Point Cloud Data
Applied Sciences, 2020 To further improve the efficiency and accuracy of the vehicle part inspection process, this paper designs an accurate and efficient vehicle body part inspection framework based on scattered point cloud data (PCD).
Yang Yang, Ming Li, Xie Ma
doaj +1 more source
IDEA Journal, 2023 Laser scanning holds out the possibility of extreme certainty. Digital scanning has become deeply integrated in contemporary archaeological surveying, and in architectural heritage and preservation contexts digital scans are now common. Certainty in this
semanticscholar +1 more source
PF-Net: Point Fractal Network for 3D Point Cloud Completion [PDF]
Computer Vision and Pattern Recognition, 2020 In this paper, we propose a Point Fractal Network (PF-Net), a novel learning-based approach for precise and high-fidelity point cloud completion. Unlike existing point cloud completion networks, which generate the overall shape of the point cloud from ...
Zitian Huang +4 more
semanticscholar +1 more source
RE-PU: A Self-Supervised Arbitrary-Scale Point Cloud Upsampling Method Based on Reconstruction
Applied SciencesThe point clouds obtained directly from three-dimensional scanning devices are often sparse and noisy. Therefore, point cloud upsampling plays an increasingly crucial role in fields such as point cloud reconstruction and rendering.
Yazhen Han +3 more
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A Novel Method for Density Analysis of Repaired Point Cloud with Holes Based on Image Data
Remote Sensing, 2021 Repairing point cloud holes has become an important problem in the research of 3D laser point cloud data, which ensures the integrity and improves the precision of point cloud data.
Yibo He, Zhenqi Hu, Kan Wu, Rui Wang
doaj +1 more source