top

  Info

  • Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.

  Info

  • Utilizzare questo link per rimuovere la selezione effettuata.
Advances in Mobile Mapping Technologies
Advances in Mobile Mapping Technologies
Autore Lehtola Ville
Pubbl/distr/stampa Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Descrizione fisica 1 online resource (268 p.)
Soggetto topico History of engineering & technology
Technology: general issues
Soggetto non controllato 3D camera
3D city model
3D mapping
3D simulation
3D surveying
6-DoF
accuracy
boresight angles
building 3D modelling
CAM localization
CNN features
configuration analysis
control points
controllability
convolutional neural networks
correlation coefficient
data fusion
dataset
deep learning
DSIEKF
DTM
embedded-systems
evaluation
exposure control
F-CNN
geometrical constraints
georeferencing
graph matching
guidance
Helmert variance component estimation
IEKF
imaging network design
inception
laser scanning
lever arm
Lidar
LiDAR
line feature matching method
loop closure detection
manhole cover
mobile laser scanning
Mobile Laser Scanning
mobile mapping
mobile mapping systems
MSS
Ouster OS-1-64
outdoor
Pandar64
parking statistics
path planning
performance evaluation
photogrammetry
plane-based calibration field
point and line features
point cloud
point cloud coverage
point cloud density
point clouds
real-time
RetinaNet
RGB-D
robot operating system
scene completion
semantic
semantic topology graph
smart city
synthetic
TLS reference point clouds
transfer learning
V-SLAM
vehicle detection
view planning
visual SLAM
visual-inertial odometry
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910566470903321
Lehtola Ville  
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Digital Signal, Image and Video Processing for Emerging Multimedia Technology
Digital Signal, Image and Video Processing for Emerging Multimedia Technology
Autore Kim Byung-Gyu
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 online resource (392 p.)
Soggetto topico History of engineering and technology
Soggetto non controllato 3D
acauisition function
adversarial loss
aerial imagery
affine motion model
bayesian optimization
bit allocation
block-compressive sensing (BCS)
capacitive touchscreen
CenterNet
channel allocation
character order preserving
classification
closed circuit television (CCTV)
cloud computing
cloud system
coefficient of variation
content-based image retrieval
convolution neural network
convolutional neural network (CNN)
convolutional neural networks
de-noising
deep leaning
deep learning
deep neural architecture
denoise
dependency detection
depth map
edge preserving
electrical insulator
error analysis
Faster R-CNN
fire and smoke detection
flexible partitioning
focus maps
frame complexity
gaussian process
generative adversarial network
genetic algorithms
image classification
image deblurring
image fusion
image processing
image restoration
image retrieval
image similarity
image stabilization
image steganalysis
inter-component prediction
learning rate
lexicon
low light
machine learning
marine leisure activities
MCV and MLV filters
motion compensation
motion estimation
moving object
multi-focus
multi-scale analysis
multiple feature
multiview high efficiency video coding
MVD
n/a
noise reduction
noise removal
non-linear filters
object detection
optical flow
pattern mining
pattern recognition
perceptual loss
perspective motion model
privacy risk
public key cryptography (PKC)
quantization (signal)
rate control
RetinaNet
reversible data hiding
reversible data hiding (RDH)
RFCN
saliency
scalable video coding
scene recognition
security
sentiment analysis
SNIPER
social media
spatial and temporal
SSD
step-less adaptive sampling
super-resolution
surveillance
surveillance system
ternary classification
texture
trimaps
UAVs
UNIWARD
vector of locally aggregated descriptor
video coding
video surveillance
VisDrone2019
VVC
Wasserstein distance
wavelet analysis
wavelet transform
weakly supervised attention map
Wiener-Granger causality
WOW
wrist-mounted DiverPAD
YOLOv3
ρ model
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557136003321
Kim Byung-Gyu  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui