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Augmented Reality, Virtual Reality & Semantic 3D Reconstruction
Augmented Reality, Virtual Reality & Semantic 3D Reconstruction
Autore Lv Zhihan
Pubbl/distr/stampa Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Descrizione fisica 1 electronic resource (304 p.)
Soggetto topico Technology: general issues
History of engineering & technology
Soggetto non controllato feature tracking
superpixel
structure from motion
three-dimensional reconstruction
local feature
multi-view stereo
construction hazard
safety education
photoreality
virtual reality
anatomization
audio classification
olfactory display
deep learning
transfer learning
inception model
augmented reality
higher education
scientific production
web of science
bibliometric analysis
scientific mapping
applications in subject areas
interactive learning environments
3P model
primary education
educational technology
mobile lip reading system
lightweight neural network
face correction
virtual reality (VR)
computer vision
projection mapping
3D face model
super-resolution
radial curve
Dynamic Time Warping
semantic 3D reconstruction
eye-in-hand vision system
robotic manipulator
probabilistic fusion
graph-based refinement
3D modelling
3D representation
game engine
laser scanning
panoramic photography
super-resolution reconstruction
generative adversarial networks
dense convolutional networks
texture loss
WGAN-GP
orientation
positioning
viewpoint
image matching
algorithm
transformation
ADHD
EDAH
assessment
continuous performance test
Photometric Stereo (PS)
3D reconstruction
fully convolutional network (FCN)
semi-immersive virtual reality
children
cooperative games
empowerment
perception
motor planning
problem-solving
area of interest
wayfinding
spatial information
one-shot learning
gesture recognition
GREN
skeleton-based
3D composition
pre-visualization
stereo vision
360° video
ISBN 3-0365-6062-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910639985103321
Lv Zhihan  
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Techniques and Applications of UAV-Based Photogrammetric 3D Mapping
Techniques and Applications of UAV-Based Photogrammetric 3D Mapping
Autore Jiang Wanshou
Descrizione fisica 1 online resource (294 p.)
Soggetto topico History of engineering & technology
Technology: general issues
Soggetto non controllato 3D point cloud
3D reconstruction
aerial triangulation
affine invariant feature
aggregate semantic information
airborne LiDAR
Brown model
building extraction
building façade
building footprint
building height
camera self-calibration
coal mine
compound building reconstruction
convolutional neural network
coplanar extraction
cycle consistency inference
deep convolutional neural network
deep learning
deformation detection
dense shortcut
depth estimation
depth map fusion
detail preserving
digital photogrammetry
digital subsidence model
effective feature distillation
feature pyramid
geometric topology
GF-7 image
high-frequency loss
high-resolution remote sensing images
homography matrix
image matching
indoor scene
least square fitting
LiDAR
lightweight image super-resolution
match pair
multi-view
multi-view reconstruction
multiscale features
n/a
PatchMatch
photogrammetric mesh model
point cloud
point clouds
polynomial model
power lines
red-black propagation
repetitive structure
semantic decomposition
semantic segmentation
single image super-resolution
spatial eight-quadrant kernel convolution
structure from motion
surface meshing
surface subsidence
texture mapping
U-shaped residual network
UAV inspection
very short baseline
wide-baseline stereo image
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910595072603321
Jiang Wanshou  
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui