Results 21 to 30 of about 5,539,028 (294)
A Saliency-Based Sparse Representation Method for Point Cloud Simplification
Sensors, 2021 High-resolution 3D scanning devices produce high-density point clouds, which require a large capacity of storage and time-consuming processing algorithms.
Esmeide Leal +4 more
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AIRBORNE LIDAR POINT CLOUD CLASSIFICATION BASED ON MULTILEVEL POINT CLUSTER FEATURES [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020 Airborne Light Detection And Ranging (LiDAR) has become an important means for efficient and high-precision acquisition of 3D spatial data of large scenes. It has important application value in digital cities and location-based services.
Y. Gao, M. C. Li
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Cloud Dictionary: Sparse Coding and Modeling for Point Clouds
CoRR, 2016 With the development of range sensors such as LIDAR and time-of-flight cameras, 3D point cloud scans have become ubiquitous in computer vision applications, the most prominent ones being gesture recognition and autonomous driving. Parsimony-based algorithms have shown great success on images and videos where data points are sampled on a regular ...
Or Litany +2 more
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IEEE Access, 2023 In the current golden age of multimedia, human visualization is no longer the single main target, with the final consumer often being a machine which performs some processing or computer vision tasks. In both cases, deep learning plays a fundamental role
Abdelrahman Seleem +3 more
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Semantic segmentation of 3D point cloud based on contextual attention CNN
Tongxin xuebao, 2020 Aiming at the under-segmentation of 3D point cloud semantic segmentation caused by the lack of contextual fine-grained information of the point cloud,an algorithm based on contextual attention CNN was proposed for 3D point cloud semantic segmentation ...
Jun YANG, Jisheng DANG
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Point cloud geometry compression using neural implicit representations [PDF]
, 2023 openIn recent years, the increasing prominence of 3D point clouds in various applications has led to an escalating need for efficient storage and transmission methods.
MOTAMENI, AMIRHOSSEIN
core
Deep Learning-based Point Cloud Geometry Coding with Resolution Scalability
, 2020 EISBN - 978-1-7281-9320-5Article number - 9287060; Conference date - 21 September 2020 - 24 September 2020; Conference code - 165866Point clouds are a 3D visual representation format that has recently become fundamentally important for immersive and ...
Guarda, André F. R. +2 more
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Sensors, 2022 Head pose and eye gaze are vital clues for analysing a driver’s visual attention. Previous approaches achieve promising results from point clouds in constrained conditions.
Yafei Wang, Guoliang Yuan, Xianping Fu
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Point Cloud Coding: Adopting a Deep Learning-based Approach
, 2019 Conference: Picture Coding Symposium (PCS), Nov. 12-15, 2019, Ningbo, China, 2019Point clouds have recently become an important visual representation format, especially for virtual and augmented reality applications, thus making point cloud coding a very
M. M. Rodrigues, Nuno +5 more
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Fast Decision Making of Point Cloud Video Geometry CU Partition Based on Occupied Pixels
IEEE AccessThe video-based point cloud compression Standard (V-PCC) uses file-based projection technology to map point cloud data in three-dimensional space to two-dimensional space, creating geometric graphs and attribute graphs, then, with the help of the ...
Fengqin Wang, Juanjuan Jia, Qiuwen Zhang
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