Results 41 to 50 of about 997,464 (307)
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
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DENOISING OF 3D POINT CLOUDS [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2019 Abstract. A method to remove random errors from 3D point clouds is proposed. It is based on the estimation of a local geometric descriptor of each point. For mobile mapping LiDAR and airborne LiDAR, a combined standard mesurement uncertainty of the LiDAR system may supplement a geometric approach.
E. Mugner, N. Seube
openaire +4 more sources
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
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, 2019 We present RL-GAN-Net, where a reinforcement learning (RL) agent provides fast and robust control of a generative adversarial network (GAN). Our framework is applied to point cloud shape completion that converts noisy, partial point cloud data into a ...
Kim, Young Min +2 more
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Denoising and Inpainting for Point Clouds Compressed by V-PCC
IEEE Access, 2021 With the development of immersive video, the quality of compressed 3D content has become an important issue. Video-based Point Cloud Compression (V-PCC) is a popular compression method for point cloud sequences; it achieves the highest quality among MPEG
Keming Cao, Pamela Cosman
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Recoverable 3D Point Cloud Compression Algorithm Based on Vector Similarity
Jisuanji kexue yu tansuo, 2020 Data compression for 3D point cloud suffers from several problems, including difficult to preserve the feature details, over-compress, and difficult to restore a compressed model. To alleviate these problems, CVS (compression based on vector similarity),
ZHANG Xukang, NIU Baoning, ZHANG Jinwen
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CLASSIFICATION OF BIG POINT CLOUD DATA USING CLOUD COMPUTING [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2015 Point cloud data plays an significant role in various geospatial applications as it conveys plentiful information which can be used for different types of analysis.
K. Liu, J. Boehm
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Hangkong gongcheng jinzhan, 2023 The effect of point cloud denoising is very important to the subsequent surface fitting and modeling design in 3D scanning process. How to extract feature points quickly and accurately has become a research hotspot.However,the key point of point cloud ...
LI Binpeng, MAO Jian, YANG Jie, CAI Hang
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Dynamic Adaptive Point Cloud Streaming
, 2019 High-quality point clouds have recently gained interest as an emerging form of representing immersive 3D graphics. Unfortunately, these 3D media are bulky and severely bandwidth intensive, which makes it difficult for streaming to resource-limited and ...
Hosseini, Mohammad, Timmerer, Christian
core +1 more source
Molecular Oncology, EarlyView.The number of circulating tumor cells obtained from prostate cancer patients was increased approximately 5‐fold compared to regular CellSearch when processing 2 mL diagnostic leukapheresis material aliquots and increased by 44‐fold when processing 20 mL DLA aliquots using the flow enrichment target capture Halbach‐array.
Michiel Stevens +8 more
wiley +1 more source