Results 21 to 30 of about 7,734,831 (297)
GPU‐Accelerated LOD Generation for Point Clouds
Computer Graphics Forum, 2023 AbstractAbout: We introduce a GPU‐accelerated LOD construction process that creates a hybrid voxel‐point‐based variation of the widely used layered point cloud (LPC) structure for LOD rendering and streaming. The massive performance improvements provided by the GPU allow us to improve the quality of lower LODs via color filtering while still increasing
Markus Schütz +3 more
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Deep Artificial Correspondence Generation for 3D Point Cloud Registration [PDF]
Jisuanji kexue, 2023 To address the challenging problems of point cloud registration in 3D reconstruction(e.g.,difficulty in finding corresponding points,etc.),this paper proposes a point cloud registration method based on cross-attention and artificial correspondence ...
BAI Zhengyao, XU Zhu, ZHANG Yihan
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DTM GENERATION WITH UAV BASED PHOTOGRAMMETRIC POINT CLOUD [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2017 Nowadays Unmanned Aerial Vehicles (UAVs) are widely used in many applications for different purposes. Their benefits however are not entirely detected due to the integration capabilities of other equipment such as; digital camera, GPS, or laser scanner ...
N. Polat, M. Uysal
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Analysis of Point Cloud Generation from UAS Images [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2014 Unmanned Aerial Systems (UAS) allow for the collection of low altitude aerial images, along with other geospatial information from a variety of companion sensors.
S. Ostrowski +3 more
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VIDEO-BASED POINT CLOUD GENERATION USING MULTIPLE ACTION CAMERAS [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2015 Due to the development of action cameras, the use of video technology for collecting geo-spatial data becomes an important trend. The objective of this study is to compare the image-mode and video-mode of multiple action cameras for 3D point clouds ...
T. Teo
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Automatic Point Cloud Processing Tools to Characterize Trees (Point-Cloud-Tools: v1.0.1).
, 2021 Automatic point cloud processing tools for MATLAB to characterize trees.
Tuomas Yrttimaa
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Development of Improved Semi-Automated Processing Algorithms for the Creation of Rockfall Databases
Remote Sensing, 2021 While terrestrial laser scanning and photogrammetry provide high quality point cloud data that can be used for rock slope monitoring, their increased use has overwhelmed current data analysis methodologies.
Heather Schovanec +3 more
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A Generic Scheme for Progressive Point Cloud Coding [PDF]
IEEE Transactions on Visualization and Computer Graphics, 2008 In this paper, we propose a generic point cloud encoder that provides a unified framework for compressing different attributes of point samples corresponding to 3D objects with arbitrary topology. In the proposed scheme, the coding process is led by an iterative octree cell subdivision of the object space.
Yan Huang 0003 +3 more
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Geometry-Aware Generation of Adversarial Point Clouds [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022 Machine learning models have been shown to be vulnerable to adversarial examples. While most of the existing methods for adversarial attack and defense work on the 2D image domain, a few recent attempts have been made to extend them to 3D point cloud data.
Yuxin Wen +4 more
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UAV-BASED POINT CLOUD GENERATION FOR OPEN-PIT MINE MODELLING [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2015 Along with the advancement of unmanned aerial vehicles (UAVs), improvement of high-resolution cameras and development of vision-based mapping techniques, unmanned aerial imagery has become a matter of remarkable interest among researchers and industries.
M. Shahbazi +3 more
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