Results 21 to 30 of about 50,928 (258)
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source
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
openaire +2 more sources
Hypernetwork approach to generating point clouds
CoRR, 2020 In this work, we propose a novel method for generating 3D point clouds that leverage properties of hyper networks. Contrary to the existing methods that learn only the representation of a 3D object, our approach simultaneously finds a representation of the object and its 3D surface.
Przemyslaw Spurek +5 more
openaire +4 more sources
Accuracy assessment of building point clouds automatically generated from iphone images [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2014 Low-cost sensor generated 3D models can be useful for quick 3D urban model updating, yet the quality of the models is questionable. In this article, we evaluate the reliability of an automatic point cloud generation method using multi-view iPhone images
B. Sirmacek, R. Lindenbergh
doaj +1 more source
3D point cloud generation reconstruction from single image based on image retrieval
Results in Optics, 2021 Most of the 3D point cloud generation methods from a single image are only applicable to a single target. However, the real image often contains multiple targets, which is difficult to generate 3D point clouds from the network directly.
Hui Chen, Yipeng Zuo, Yong Tong, Li Zhu
doaj +1 more source
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
openaire +3 more sources
Attention-Based Dense Point Cloud Reconstruction From a Single Image
IEEE Access, 2019 Three-dimensional Reconstruction has drawn much attention in computer vision. Generating a dense point cloud from a single image is a more challenging task.
Qiang Lu +4 more
doaj +1 more source
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
doaj +1 more source