Results 11 to 20 of about 3,211,560 (309)

Cube of Space Sampling for 3D Model Retrieval

open access: yesApplied Sciences, 2021
Since the number of 3D models is rapidly increasing, extracting better feature descriptors to represent 3D models is very challenging for effective 3D model retrieval. There are some problems in existing 3D model representation approaches.
Zong-Yao Chen   +2 more
doaj   +1 more source

The Imperial Cathedral in Königslutter (Germany) as an Immersive Experience in Virtual Reality with Integrated 360° Panoramic Photography

open access: yesApplied Sciences, 2020
As virtual reality (VR) and the corresponding 3D documentation and modelling technologies evolve into increasingly powerful and established tools for numerous applications in architecture, monument preservation, conservation/restoration and the ...
Alexander P. Walmsley   +1 more
doaj   +1 more source

High resolution digital 3D modelling of subsurface morphological structures of Koutouki Cave, Greece

open access: yesActa Carsologica, 2020
Remote sensing techniques and laser scanning technology have given us the opportunity to study indoor environments, such as caves, with their complex and unique morphology.
Aliki Konsolaki   +4 more
doaj   +1 more source

A NOVEL 3D CITY MODELLING APPROACH FOR SATELLITE STEREO DATA USING 3D ACTIVE SHAPE MODELS ON DSMS [PDF]

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2012
Since remote sensing provides new sensors and techniques to accumulate stereo data on urban regions, three-dimensional (3D) repre- sentation of these regions gained much interest for various applications. 3D urban region representation can e.g.
B. Sirmacek, H. Taubenboeck, P. Reinartz
doaj   +1 more source

A Bridge Structure 3D Representation for Deep Neural Network and Its Application in Frequency Estimation

open access: yesAdvances in Civil Engineering, 2022
Currently, most predictions related to bridge geometry use shallow neural networks, which limit the network’s ability to fit since the input form limits the depth of the neural network.
Kejian Hu, Xiaoguang Wu
doaj   +1 more source

A Hierarchical Machine Learning Approach for Multi-Level and Multi-Resolution 3D Point Cloud Classification

open access: yesRemote Sensing, 2020
The recent years saw an extensive use of 3D point cloud data for heritage documentation, valorisation and visualisation. Although rich in metric quality, these 3D data lack structured information such as semantics and hierarchy between parts.
Simone Teruggi   +4 more
doaj   +1 more source

Neural 3D reconstruction from sparse views using geometric priors

open access: yesComputational Visual Media, 2023
Sparse view 3D reconstruction has attracted increasing attention with the development of neural implicit 3D representation. Existing methods usually only make use of 2D views, requiring a dense set of input views for accurate 3D reconstruction.
Tai-Jiang Mu   +3 more
doaj   +1 more source

3D Fermion representation of affine Yangian

open access: yesNuclear Physics B, 2022
In this paper, we give the 3D (3 dimensional) Fermion representation of affine Yangian of gl(1). In special case h1=1,h2=−1,h3=0, the 3D Fermion operators Γm→ and Γm→⁎ become γm→ and γm→⁎ which have relations with 2D Fermions.
Na Wang, Ke Wu
doaj   +1 more source

Line strain representation and shear strain representation of 3D strain states

open access: yesPLoS ONE, 2021
The strain state in 3D space is usually expressed by the conventional method of combining three linear and shear strains. Due to the obvious differences between the first two strains, it is necessary to uncover their properties when describing ...
Shunqun Li   +4 more
doaj   +2 more sources

Identifying cortical areas that underlie the transformation from 2D retinal to 3D head-centric motion signals

open access: yesNeuroImage, 2023
Accurate motion perception requires that the visual system integrate the 2D retinal motion signals received by the two eyes into a single representation of 3D motion.
Puti Wen, Michael S. Landy, Bas Rokers
doaj   +1 more source

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