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