3

3D Computer Vision

• TOWARDS MESH-BASED DEEP LEARNING FOR SEMANTIC SEGMENTATION IN PHOTOGRAMMETRY, pages 59–66

3D Point Cloud

• TESSERAE3D: A BENCHMARK FOR TESSERAE SEMANTIC SEGMENTATION IN 3D POINT CLOUDS, pages 121–128

3D Point Clouds

• WHICH 3D DATA REPRESENTATION DOES THE CROWD LIKE BEST? CROWD-BASED ACTIVE LEARNING FOR COUPLED SEMANTIC SEGMENTATION OF POINT CLOUDS AND TEXTURED MESHES, pages 93–100

3D Reconstruction

• MIXED PROBABILITY MODELS FOR ALEATORIC UNCERTAINTY ESTIMATION IN THE CONTEXT OF DENSE STEREO MATCHING, pages 17–26

3D Textured Meshes

• WHICH 3D DATA REPRESENTATION DOES THE CROWD LIKE BEST? CROWD-BASED ACTIVE LEARNING FOR COUPLED SEMANTIC SEGMENTATION OF POINT CLOUDS AND TEXTURED MESHES, pages 93–100

3D point cloud

• A FRAMEWORK FOR GENERIC SPATIAL SEARCH IN 3D POINT CLOUDS, pages 35–42

3D time series

• INFLUENCE OF SPATIAL AND TEMPORAL RESOLUTION ON TIME SERIES-BASED COASTAL SURFACE CHANGE ANALYSIS USING HOURLY TERRESTRIAL LASER SCANS, pages 137–144

3D viewer

• A WEB-BASED PLATFORM FOR MANAGEMENT AND VISUALIZATION OF GEOMETRIC DOCUMENTATION PRODUCTS OF CULTURAL HERITAGE SITES, pages 113–120

4

4D objects-by-change

• INFLUENCE OF SPATIAL AND TEMPORAL RESOLUTION ON TIME SERIES-BASED COASTAL SURFACE CHANGE ANALYSIS USING HOURLY TERRESTRIAL LASER SCANS, pages 137–144

A

Active Learning

• WHICH 3D DATA REPRESENTATION DOES THE CROWD LIKE BEST? CROWD-BASED ACTIVE LEARNING FOR COUPLED SEMANTIC SEGMENTATION OF POINT CLOUDS AND TEXTURED MESHES, pages 93–100

Airborne Laser Scanning

• WEAKLY SUPERVISED PSEUDO-LABEL ASSISTED LEARNING FOR ALS POINT CLOUD SEMANTIC SEGMENTATION, pages 43–50

Airborne LiDAR

• IMAGE TO POINT CLOUD TRANSLATION USING CONDITIONAL GENERATIVE ADVERSARIAL NETWORK FOR AIRBORNE LIDAR DATA, pages 169–174

Attention

• BIDIRECTIONAL MULTI-SCALE ATTENTION NETWORKS FOR SEMANTIC SEGMENTATION OF OBLIQUE UAV IMAGERY, pages 75–82

auto-encoder

• SEMI-SUPERVISED SEGMENTATION OF CONCRETE AGGREGATE USING CONSENSUS REGULARISATION AND PRIOR GUIDANCE, pages 83–91

B

benchmarking

• REMOTE SENSING IMAGE CLASSIFICATION WITH THE SEN12MS DATASET, pages 101–106

C

Classification

• FAST WEAKLY SUPERVISED DETECTION OF RAILWAY-RELATED INFRASTRUCTURES IN LIDAR ACQUISITIONS, pages 27–34
• ROADSIDE TREE EXTRACTION AND DIAMETER ESTIMATION WITH MMS LIDAR BY USING POINT-CLOUD IMAGE, pages 67–74

Clustering

• TOWARDS EFFICIENT INDOOR/OUTDOOR REGISTRATION USING PLANAR POLYGONS, pages 51–58

Colour-based segmentation

• AUTOMATIC POINT CLOUD SEGMENTATION FOR THE DETECTION OF ALTERATIONS ON HISTORICAL BUILDINGS THROUGH AN UNSUPERVISED AND CLUSTERING-BASED MACHINE LEARNING APPROACH, pages 129–136

Conditional Adversarial Generative Network

• IMAGE TO POINT CLOUD TRANSLATION USING CONDITIONAL GENERATIVE ADVERSARIAL NETWORK FOR AIRBORNE LIDAR DATA, pages 169–174

Contrario

• TOWARDS EFFICIENT INDOOR/OUTDOOR REGISTRATION USING PLANAR POLYGONS, pages 51–58

Cracks Detection

• DETECTING CRACKS AND SPALLING AUTOMATICALLY IN EXTREME EVENTS BY END-TO-END DEEP LEARNING FRAMEWORKS, pages 161–168

Crowdsourcing

• WHICH 3D DATA REPRESENTATION DOES THE CROWD LIKE BEST? CROWD-BASED ACTIVE LEARNING FOR COUPLED SEMANTIC SEGMENTATION OF POINT CLOUDS AND TEXTURED MESHES, pages 93–100

Cultural Heritage

• AUTOMATIC POINT CLOUD SEGMENTATION FOR THE DETECTION OF ALTERATIONS ON HISTORICAL BUILDINGS THROUGH AN UNSUPERVISED AND CLUSTERING-BASED MACHINE LEARNING APPROACH, pages 129–136

Cultural Heritage visualization

• A WEB-BASED PLATFORM FOR MANAGEMENT AND VISUALIZATION OF GEOMETRIC DOCUMENTATION PRODUCTS OF CULTURAL HERITAGE SITES, pages 113–120

cell based sampling

• A FRAMEWORK FOR GENERIC SPATIAL SEARCH IN 3D POINT CLOUDS, pages 35–42

change detection

• INFLUENCE OF SPATIAL AND TEMPORAL RESOLUTION ON TIME SERIES-BASED COASTAL SURFACE CHANGE ANALYSIS USING HOURLY TERRESTRIAL LASER SCANS, pages 137–144

change detection and time series analysis

• AUTOMATED AND PERMANENT LONG-RANGE TERRESTRIAL LASER SCANNING IN A HIGH MOUNTAIN ENVIRONMENT: SETUP AND FIRST RESULTS, pages 153–160

coastal monitoring

• INFLUENCE OF SPATIAL AND TEMPORAL RESOLUTION ON TIME SERIES-BASED COASTAL SURFACE CHANGE ANALYSIS USING HOURLY TERRESTRIAL LASER SCANS, pages 137–144

concrete aggregate particles

• SEMI-SUPERVISED SEGMENTATION OF CONCRETE AGGREGATE USING CONSENSUS REGULARISATION AND PRIOR GUIDANCE, pages 83–91

consistency training

• SEMI-SUPERVISED SEGMENTATION OF CONCRETE AGGREGATE USING CONSENSUS REGULARISATION AND PRIOR GUIDANCE, pages 83–91

convolutional neural networks

• REMOTE SENSING IMAGE CLASSIFICATION WITH THE SEN12MS DATASET, pages 101–106

cryosphere

• AUTOMATED AND PERMANENT LONG-RANGE TERRESTRIAL LASER SCANNING IN A HIGH MOUNTAIN ENVIRONMENT: SETUP AND FIRST RESULTS, pages 153–160

D

Dataset

• TESSERAE3D: A BENCHMARK FOR TESSERAE SEMANTIC SEGMENTATION IN 3D POINT CLOUDS, pages 121–128

Deep Learning

• MIXED PROBABILITY MODELS FOR ALEATORIC UNCERTAINTY ESTIMATION IN THE CONTEXT OF DENSE STEREO MATCHING, pages 17–26
• TOWARDS MESH-BASED DEEP LEARNING FOR SEMANTIC SEGMENTATION IN PHOTOGRAMMETRY, pages 59–66
• BIDIRECTIONAL MULTI-SCALE ATTENTION NETWORKS FOR SEMANTIC SEGMENTATION OF OBLIQUE UAV IMAGERY, pages 75–82
• DETECTING CRACKS AND SPALLING AUTOMATICALLY IN EXTREME EVENTS BY END-TO-END DEEP LEARNING FRAMEWORKS, pages 161–168

Depth Map

• REAL-TIME DEPTH MAP ESTIMATION FROM INFRARED STEREO IMAGES OF RGB-D CAMERAS, pages 107–112

Diagnostic Analysis

• AUTOMATIC POINT CLOUD SEGMENTATION FOR THE DETECTION OF ALTERATIONS ON HISTORICAL BUILDINGS THROUGH AN UNSUPERVISED AND CLUSTERING-BASED MACHINE LEARNING APPROACH, pages 129–136

Diameter

• ROADSIDE TREE EXTRACTION AND DIAMETER ESTIMATION WITH MMS LIDAR BY USING POINT-CLOUD IMAGE, pages 67–74

Disparity

• REAL-TIME DEPTH MAP ESTIMATION FROM INFRARED STEREO IMAGES OF RGB-D CAMERAS, pages 107–112

data fusion

• REMOTE SENSING IMAGE CLASSIFICATION WITH THE SEN12MS DATASET, pages 101–106

deep learning

• REMOTE SENSING IMAGE CLASSIFICATION WITH THE SEN12MS DATASET, pages 101–106

F

fixed distance search

• A FRAMEWORK FOR GENERIC SPATIAL SEARCH IN 3D POINT CLOUDS, pages 35–42

G

Generative Model

• IMAGE TO POINT CLOUD TRANSLATION USING CONDITIONAL GENERATIVE ADVERSARIAL NETWORK FOR AIRBORNE LIDAR DATA, pages 169–174

I

Infrared Image

• REAL-TIME DEPTH MAP ESTIMATION FROM INFRARED STEREO IMAGES OF RGB-D CAMERAS, pages 107–112

Integrity

• MAXIMUM CONSENSUS LOCALIZATION USING LIDAR SENSORS, pages 9–16

image classification

• REMOTE SENSING IMAGE CLASSIFICATION WITH THE SEN12MS DATASET, pages 101–106

image processing

• SEGMENTATION OF TRAFFIC SIGNS FROM POLES WITH MATHEMATICAL MORPHOLOGY APPLIED TO POINT CLOUDS, pages 145–151

incremental spatial search

• A FRAMEWORK FOR GENERIC SPATIAL SEARCH IN 3D POINT CLOUDS, pages 35–42

K

k nearest neighbour search

• A FRAMEWORK FOR GENERIC SPATIAL SEARCH IN 3D POINT CLOUDS, pages 35–42

L

LiDAR

• MAXIMUM CONSENSUS LOCALIZATION USING LIDAR SENSORS, pages 9–16
• FAST WEAKLY SUPERVISED DETECTION OF RAILWAY-RELATED INFRASTRUCTURES IN LIDAR ACQUISITIONS, pages 27–34
• INFLUENCE OF SPATIAL AND TEMPORAL RESOLUTION ON TIME SERIES-BASED COASTAL SURFACE CHANGE ANALYSIS USING HOURLY TERRESTRIAL LASER SCANS, pages 137–144

Localization

• MAXIMUM CONSENSUS LOCALIZATION USING LIDAR SENSORS, pages 9–16

land cover

• REMOTE SENSING IMAGE CLASSIFICATION WITH THE SEN12MS DATASET, pages 101–106

M

MSAC

• TOWARDS EFFICIENT INDOOR/OUTDOOR REGISTRATION USING PLANAR POLYGONS, pages 51–58

Machine Learning

• TESSERAE3D: A BENCHMARK FOR TESSERAE SEMANTIC SEGMENTATION IN 3D POINT CLOUDS, pages 121–128

Machine learning

• AUTOMATIC POINT CLOUD SEGMENTATION FOR THE DETECTION OF ALTERATIONS ON HISTORICAL BUILDINGS THROUGH AN UNSUPERVISED AND CLUSTERING-BASED MACHINE LEARNING APPROACH, pages 129–136

Mask R-CNN

• DETECTING CRACKS AND SPALLING AUTOMATICALLY IN EXTREME EVENTS BY END-TO-END DEEP LEARNING FRAMEWORKS, pages 161–168

Maximum Consensus

• MAXIMUM CONSENSUS LOCALIZATION USING LIDAR SENSORS, pages 9–16

MeshCNN

• TOWARDS MESH-BASED DEEP LEARNING FOR SEMANTIC SEGMENTATION IN PHOTOGRAMMETRY, pages 59–66

Mixture Model

• MIXED PROBABILITY MODELS FOR ALEATORIC UNCERTAINTY ESTIMATION IN THE CONTEXT OF DENSE STEREO MATCHING, pages 17–26

Mobile Laser Scanning

• SEGMENTATION OF TRAFFIC SIGNS FROM POLES WITH MATHEMATICAL MORPHOLOGY APPLIED TO POINT CLOUDS, pages 145–151

Mobile Mapping System

• ROADSIDE TREE EXTRACTION AND DIAMETER ESTIMATION WITH MMS LIDAR BY USING POINT-CLOUD IMAGE, pages 67–74

Multi-Modality

• WHICH 3D DATA REPRESENTATION DOES THE CROWD LIKE BEST? CROWD-BASED ACTIVE LEARNING FOR COUPLED SEMANTIC SEGMENTATION OF POINT CLOUDS AND TEXTURED MESHES, pages 93–100

Multi-Scale

• BIDIRECTIONAL MULTI-SCALE ATTENTION NETWORKS FOR SEMANTIC SEGMENTATION OF OBLIQUE UAV IMAGERY, pages 75–82

mathematical morphology

• SEGMENTATION OF TRAFFIC SIGNS FROM POLES WITH MATHEMATICAL MORPHOLOGY APPLIED TO POINT CLOUDS, pages 145–151

morphological opening

• SEGMENTATION OF TRAFFIC SIGNS FROM POLES WITH MATHEMATICAL MORPHOLOGY APPLIED TO POINT CLOUDS, pages 145–151

multi-users

• A WEB-BASED PLATFORM FOR MANAGEMENT AND VISUALIZATION OF GEOMETRIC DOCUMENTATION PRODUCTS OF CULTURAL HERITAGE SITES, pages 113–120

N

neighbourhood definition

• A FRAMEWORK FOR GENERIC SPATIAL SEARCH IN 3D POINT CLOUDS, pages 35–42

O

Oblique View

• BIDIRECTIONAL MULTI-SCALE ATTENTION NETWORKS FOR SEMANTIC SEGMENTATION OF OBLIQUE UAV IMAGERY, pages 75–82

P

Photogrammetry

• AUTOMATIC POINT CLOUD SEGMENTATION FOR THE DETECTION OF ALTERATIONS ON HISTORICAL BUILDINGS THROUGH AN UNSUPERVISED AND CLUSTERING-BASED MACHINE LEARNING APPROACH, pages 129–136

Planar polygons

• TOWARDS EFFICIENT INDOOR/OUTDOOR REGISTRATION USING PLANAR POLYGONS, pages 51–58

Point Cloud Processing

• AUTOMATIC POINT CLOUD SEGMENTATION FOR THE DETECTION OF ALTERATIONS ON HISTORICAL BUILDINGS THROUGH AN UNSUPERVISED AND CLUSTERING-BASED MACHINE LEARNING APPROACH, pages 129–136

Point Cloud Registration

• MAXIMUM CONSENSUS LOCALIZATION USING LIDAR SENSORS, pages 9–16

Point Cloud Segmentation

• AUTOMATIC POINT CLOUD SEGMENTATION FOR THE DETECTION OF ALTERATIONS ON HISTORICAL BUILDINGS THROUGH AN UNSUPERVISED AND CLUSTERING-BASED MACHINE LEARNING APPROACH, pages 129–136

Point Clouds

• IMAGE TO POINT CLOUD TRANSLATION USING CONDITIONAL GENERATIVE ADVERSARIAL NETWORK FOR AIRBORNE LIDAR DATA, pages 169–174

Point cloud

• ROADSIDE TREE EXTRACTION AND DIAMETER ESTIMATION WITH MMS LIDAR BY USING POINT-CLOUD IMAGE, pages 67–74

Point clouds

• WEAKLY SUPERVISED PSEUDO-LABEL ASSISTED LEARNING FOR ALS POINT CLOUD SEMANTIC SEGMENTATION, pages 43–50

Pseudo labels

• WEAKLY SUPERVISED PSEUDO-LABEL ASSISTED LEARNING FOR ALS POINT CLOUD SEMANTIC SEGMENTATION, pages 43–50

R

RANSAC

• TOWARDS EFFICIENT INDOOR/OUTDOOR REGISTRATION USING PLANAR POLYGONS, pages 51–58

RDBMS

• A WEB-BASED PLATFORM FOR MANAGEMENT AND VISUALIZATION OF GEOMETRIC DOCUMENTATION PRODUCTS OF CULTURAL HERITAGE SITES, pages 113–120

RGB-D Camera

• REAL-TIME DEPTH MAP ESTIMATION FROM INFRARED STEREO IMAGES OF RGB-D CAMERAS, pages 107–112

RIEGL VZ-6000

• AUTOMATED AND PERMANENT LONG-RANGE TERRESTRIAL LASER SCANNING IN A HIGH MOUNTAIN ENVIRONMENT: SETUP AND FIRST RESULTS, pages 153–160

Railway

• FAST WEAKLY SUPERVISED DETECTION OF RAILWAY-RELATED INFRASTRUCTURES IN LIDAR ACQUISITIONS, pages 27–34

Random Forest

• FAST WEAKLY SUPERVISED DETECTION OF RAILWAY-RELATED INFRASTRUCTURES IN LIDAR ACQUISITIONS, pages 27–34

Registration

• TOWARDS EFFICIENT INDOOR/OUTDOOR REGISTRATION USING PLANAR POLYGONS, pages 51–58

Roadside trees

• ROADSIDE TREE EXTRACTION AND DIAMETER ESTIMATION WITH MMS LIDAR BY USING POINT-CLOUD IMAGE, pages 67–74

Robust Estimation

• MAXIMUM CONSENSUS LOCALIZATION USING LIDAR SENSORS, pages 9–16

S

Segmentation

• FAST WEAKLY SUPERVISED DETECTION OF RAILWAY-RELATED INFRASTRUCTURES IN LIDAR ACQUISITIONS, pages 27–34

Semantic Segmentation

• TOWARDS MESH-BASED DEEP LEARNING FOR SEMANTIC SEGMENTATION IN PHOTOGRAMMETRY, pages 59–66
• BIDIRECTIONAL MULTI-SCALE ATTENTION NETWORKS FOR SEMANTIC SEGMENTATION OF OBLIQUE UAV IMAGERY, pages 75–82
• WHICH 3D DATA REPRESENTATION DOES THE CROWD LIKE BEST? CROWD-BASED ACTIVE LEARNING FOR COUPLED SEMANTIC SEGMENTATION OF POINT CLOUDS AND TEXTURED MESHES, pages 93–100
• TESSERAE3D: A BENCHMARK FOR TESSERAE SEMANTIC SEGMENTATION IN 3D POINT CLOUDS, pages 121–128

Semantic segmentation

• WEAKLY SUPERVISED PSEUDO-LABEL ASSISTED LEARNING FOR ALS POINT CLOUD SEMANTIC SEGMENTATION, pages 43–50

Sensor topology

• TOWARDS EFFICIENT INDOOR/OUTDOOR REGISTRATION USING PLANAR POLYGONS, pages 51–58

Spalling Detection

• DETECTING CRACKS AND SPALLING AUTOMATICALLY IN EXTREME EVENTS BY END-TO-END DEEP LEARNING FRAMEWORKS, pages 161–168

Stereo Matching

• REAL-TIME DEPTH MAP ESTIMATION FROM INFRARED STEREO IMAGES OF RGB-D CAMERAS, pages 107–112

Structural Damage Detection

• DETECTING CRACKS AND SPALLING AUTOMATICALLY IN EXTREME EVENTS BY END-TO-END DEEP LEARNING FRAMEWORKS, pages 161–168

semantic segmentation

• SEMI-SUPERVISED SEGMENTATION OF CONCRETE AGGREGATE USING CONSENSUS REGULARISATION AND PRIOR GUIDANCE, pages 83–91

semi-supervised learning

• SEMI-SUPERVISED SEGMENTATION OF CONCRETE AGGREGATE USING CONSENSUS REGULARISATION AND PRIOR GUIDANCE, pages 83–91

spatial data

• A WEB-BASED PLATFORM FOR MANAGEMENT AND VISUALIZATION OF GEOMETRIC DOCUMENTATION PRODUCTS OF CULTURAL HERITAGE SITES, pages 113–120

spatial sampling

• INFLUENCE OF SPATIAL AND TEMPORAL RESOLUTION ON TIME SERIES-BASED COASTAL SURFACE CHANGE ANALYSIS USING HOURLY TERRESTRIAL LASER SCANS, pages 137–144

spatiotemporal segmentation

• INFLUENCE OF SPATIAL AND TEMPORAL RESOLUTION ON TIME SERIES-BASED COASTAL SURFACE CHANGE ANALYSIS USING HOURLY TERRESTRIAL LASER SCANS, pages 137–144

T

Tesserae

• TESSERAE3D: A BENCHMARK FOR TESSERAE SEMANTIC SEGMENTATION IN 3D POINT CLOUDS, pages 121–128

Textured Meshes

• TOWARDS MESH-BASED DEEP LEARNING FOR SEMANTIC SEGMENTATION IN PHOTOGRAMMETRY, pages 59–66

temporal sampling

• INFLUENCE OF SPATIAL AND TEMPORAL RESOLUTION ON TIME SERIES-BASED COASTAL SURFACE CHANGE ANALYSIS USING HOURLY TERRESTRIAL LASER SCANS, pages 137–144

terrestrial laser scanning

• AUTOMATED AND PERMANENT LONG-RANGE TERRESTRIAL LASER SCANNING IN A HIGH MOUNTAIN ENVIRONMENT: SETUP AND FIRST RESULTS, pages 153–160

topographic LiDAR

• SEGMENTATION OF TRAFFIC SIGNS FROM POLES WITH MATHEMATICAL MORPHOLOGY APPLIED TO POINT CLOUDS, pages 145–151
• AUTOMATED AND PERMANENT LONG-RANGE TERRESTRIAL LASER SCANNING IN A HIGH MOUNTAIN ENVIRONMENT: SETUP AND FIRST RESULTS, pages 153–160

traffic signs

• SEGMENTATION OF TRAFFIC SIGNS FROM POLES WITH MATHEMATICAL MORPHOLOGY APPLIED TO POINT CLOUDS, pages 145–151

U

UAV

• BIDIRECTIONAL MULTI-SCALE ATTENTION NETWORKS FOR SEMANTIC SEGMENTATION OF OBLIQUE UAV IMAGERY, pages 75–82

Uncertainty Quantification

• MIXED PROBABILITY MODELS FOR ALEATORIC UNCERTAINTY ESTIMATION IN THE CONTEXT OF DENSE STEREO MATCHING, pages 17–26

uncertainty analysis

• AUTOMATED AND PERMANENT LONG-RANGE TERRESTRIAL LASER SCANNING IN A HIGH MOUNTAIN ENVIRONMENT: SETUP AND FIRST RESULTS, pages 153–160

W

Weakly supervised learning

• WEAKLY SUPERVISED PSEUDO-LABEL ASSISTED LEARNING FOR ALS POINT CLOUD SEMANTIC SEGMENTATION, pages 43–50

web application platform

• A WEB-BASED PLATFORM FOR MANAGEMENT AND VISUALIZATION OF GEOMETRIC DOCUMENTATION PRODUCTS OF CULTURAL HERITAGE SITES, pages 113–120