Voss, C.
* 2016: practical approach to real-time neutral feature subtraction for facial expression recognition, A
* 2020: Making emotions transparent: Google Glass helps autistic kids understand facial expressions through augmented-reaiity therapy
Voss, G.[Gerrit]
* 2013: Extending a distributed virtual reality system with exchangeable rendering back-ends
Voss, H.U.
* 2008: Accurate Localization of Brain Activity in Presurgical fMRI by Structure Adaptive Smoothing
Voss, K.
* 1991: Images, Objects, and Surfaces in Z[N]
* 1993: Inversion of convolution by small kernels
* 1994: Theoretical Approaches to N-Dimensional Digital Objects
* 1995: Invariant standard positions of ordered sets of points
* 1995: Moment-based invariant fitting of elliptical segments
* 1995: Monocular pose estimation of circular primitives
* 1996: Invariant Fitting of Planar Objects by Primitives
* 1996: Method of Normalization to Determine Invariants, The
* 1997: Invariant Fitting of Planar Objects by Primitives
* 1999: New Framework of Invariant Fitting, A
* 1999: New One-Parametric Fitting Method for Planar Objects, A
* 1999: Shift Detection by Restoration
* 1999: Shift Detection by Restoration
* 2000: Robust Vanishing Point Determination in Noisy Images
* 2001: New Algorithm to Correct Fish-eye- and Strong Wide-angle-lens-distortion from Single Images, A
* 2001: New Efficient Algorithm for Fitting of Rectangles and Squares, A
* 2002: Automatic correction of weak radial lens distortion in single views of urban scenes using vanishing points
* 2004: Vectorization-Free Reconstruction of 3D CAD Models from Paper Drawings
* 2004: Vectorization-Free Reconstruction of 3D CAD Models from Paper Drawings
* 2005: New Efficient Algorithm for Fitting Rectangular Boxes and Cubes in 3D, A
* 2006: Novel Approach for Affine Point Pattern Matching, A
* 2019: Review of Protocols for Fiducial Reference Measurements of Downwelling Irradiance for the Validation of Satellite Remote Sensing Data over Water, A
* 2019: Review of Protocols for Fiducial Reference Measurements of Water-Leaving Radiance for Validation of Satellite Remote-Sensing Data over Water, A
* 2020: European Radiometry Buoy and Infrastructure (EURYBIA): A Contribution to the Design of the European Copernicus Infrastructure for Ocean Colour System Vicarious Calibration
* 2022: Towards NGGM: Laser Tracking Instrument for the Next Generation of Gravity Missions
Includes: Voss, K. Voss, K.[Klaus] Voss, K.[Kenneth] Voss, K.[Kai]
25 for Voss, K.
Voss, L.[Lars]
* 2022: Prony-Based Curve-Fitting Method for Characterization of RF Pulses From Optoelectronic Devices, A
Voss, M.A.[Morgan A.]
* 2018: Mean Composite Fire Severity Metrics Computed with Google Earth Engine Offer Improved Accuracy and Expanded Mapping Potential
* 2021: Mean Composite Fire Severity Metrics Computed with Google Earth Engine Offer Improved Accuracy and Expanded Mapping Potential
Vossbeck, M.[Michael]
* 2023: Soil Moisture Assimilation Improves Terrestrial Biosphere Model GPP Responses to Sub-Annual Drought at Continental Scale
Vosselman, G.
* 1995: Road Tracing by Profile Matching and Kalman Filtering
* 1996: Performance Analysis of Line and Circle Fitting in Digital Images
* 1997: Semantic Road Model for Aerial Image Interpretation, A
* 1997: Updating Road Maps by Contextual Reasoning
* 1998: 3D Reconstruction of Straight and Curved Pipes Using Digital Line Photogrammetry, The
* 1999: Building Reconstruction Using Planar Faces in Very High Density Height Data
* 1999: Mapping by Dragging and Fitting of Wire-Frame Models
* 1999: Two algorithms for extracting building models from raw laser altimetry data
* 2001: 3D Building Reconstruction by Map Based Generation and Evaluation of Hypotheses
* 2001: Knowledge based reconstruction of buildings
* 2001: Map Based Building Reconstruction from Laser Data and Images
* 2002: 3D Line Reconstruction from Airborne Three-Line Scanner Data
* 2002: Localization and Generation of Building Models
* 2002: Mutual information based evaluation of 3D building models
* 2002: On the Estimation of Planimetric Offsets in Laser Altimetry Data
* 2004: Experimental comparison of filter algorithms for bare-Earth extraction from airborne laser scanning point clouds
* 2004: Reconstruction of 3D building models from aerial images and maps
* 2005: Accuracy of 3D city models: EuroSDR comparison
* 2005: Filtering of airborne laser scanner data based on segmented point clouds
* 2006: Adding the Third Dimension to a Topographic Database Using Airborne Laser Scanner Data
* 2006: Automatic extraction of building features from terrestrial laserscanning
* 2006: Bridge detection in airborne laser scanner data
* 2006: Segmentation of point clouds using smoothness constraint
* 2007: Extracting Windows from Terrestrial Laser Scanning
* 2007: Icesat Fullwaveform Altimetry Compared to Airborne Laser Altimetry over the Netherlands
* 2007: integrated approach for modelling and global registration of point clouds, An
* 2007: Quality Analysis of 3D Road Reconstruction
* 2007: Young author award special issue
* 2008: Analysis of Planimetric Accuracy of Airborne Laser Scanning Surveys
* 2008: Automatic Edge Matching Across an Image Sequence Based on Reliable Points
* 2009: Automatic Extraction of Vertical Walls from Mobile and Airborne Laser Scanning Data
* 2009: Detection of Curbstones in Airborne Laser Scanning Data
* 2009: Knowledge Based Reconstruction of Building Models from Terrestrial Laser Scanning Data
* 2009: Knowledge-based topological reconstruction for building facade surface patches
* 2009: Refining Building Facade Models with Images
* 2010: Automatic detection of buildings with rectangular flat roofs from multi-view oblique imagery
* 2010: Detection and Modelling of 3D Trees from Mobile Laser Scanning Data
* 2010: Evidence of walls in oblique images for automatic verification of buildings
* 2010: Knowledge-Based Building Reconstruction from Terrestrial Video Sequences
* 2010: Towards a 3D Geo-Information Standard in the Netherlands
* 2011: Feasibility of Facade Footprint Extraction from Mobile Laser Scanning Data
* 2011: Quality analysis on 3D building models reconstructed from airborne laser scanning data
* 2011: Towards a National 3D Spatial Data Infrastructure: Case of The Netherlands
* 2012: Automated planimetric quality control in high accuracy airborne laser scanning surveys
* 2012: Building extraction from oblique airborne imagery based on robust façade detection
* 2012: Entities and Features for Classifcation of Airborne Laser Scanning Data In Urban Area
* 2012: Optimal Camera Network Design for 3d Modeling of Cultural Heritage
* 2012: Verification of 2D building outlines using oblique airborne images
* 2012: Verification Of 3d Building Models Using Mutual Information In Airborne Oblique Images
* 2013: Establishing and implementing a national 3D Standard in The Netherlands
* 2013: Point cloud segmentation for urban scene classification
* 2013: Robust extraction of image correspondences exploiting the image scene geometry and approximate camera orientation
* 2014: graph edit dictionary for correcting errors in roof topology graphs reconstructed from point clouds, A
* 2014: Multiple-entity based classification of airborne laser scanning data in urban areas
* 2015: Detection and Classification of Changes in Buildings from Airborne Laser Scanning Data
* 2015: Flexible building primitives for 3D building modeling
* 2015: Identification of damage in buildings based on gaps in 3D point clouds from very high resolution oblique airborne images
* 2015: Segmentation of UAV-Based Images Incorporating 3D Point Cloud Information
* 2016: Advanced Tie Feature Matching For The Registration Of Mobile Mapping Imaging Data And Aerial Imagery
* 2016: Automatic Feature Detection, Description And Matching From Mobile Laser Scanning Data And Aerial Imagery
* 2016: Identification of Structurally Damaged Areas in Airborne Oblique Images Using a Visual-Bag-of-Words Approach
* 2016: Low-Level Tie Feature Extraction of Mobile Mapping Data (MLS/Images) and Aerial Imagery
* 2016: Optimizing Multiple Kernel Learning for the Classification of UAV Data
* 2016: Review of Automatic Feature Extraction from High-Resolution Optical Sensor Data for UAV-Based Cadastral Mapping
* 2016: variants of an LOD of a 3D building model and their influence on spatial analyses, The
* 2017: Contextual segment-based classification of airborne laser scanner data
* 2017: Contour Detection for UAV-Based Cadastral Mapping
* 2017: Fully Automatic Feature-based Registration of Mobile Mapping And Aerial Nadir Images for Enabling the Adjustment of Mobile Platform Locations In GNSS-denied Urban Environments
* 2017: Informal settlement classification using point-cloud and image-based features from UAV data
* 2018: deep learning approach to DTM extraction from imagery using rule-based training labels, A
* 2018: Disaster damage detection through synergistic use of deep learning and 3D point cloud features derived from very high resolution oblique aerial images, and multiple-kernel-learning
* 2018: Evaluating the Societal Impact of Using Drones to Support Urban Upgrading Projects
* 2018: fully automatic approach to register mobile mapping and airborne imagery to support the correction of platform trajectories in GNSS-denied urban areas, A
* 2018: Ground and Multi-Class Classification of Airborne Laser Scanner Point Clouds Using Fully Convolutional Networks
* 2018: Multi-Resolution Feature Fusion for Image Classification of Building Damages with Convolutional Neural Networks
* 2018: Pole-Like Road Furniture Detection and Decomposition in Mobile Laser Scanning Data Based on Spatial Relations
* 2018: Semantic Interpretation of Mobile Laser Scanner Point Clouds in Indoor Scenes Using Trajectories
* 2019: Application of Deep Learning for Delineation of Visible Cadastral Boundaries from Remote Sensing Imagery
* 2019: Automatic extraction of accurate 3D tie points for trajectory adjustment of mobile laser scanners using aerial imagery
* 2019: Correction of Mobile Mapping Trajectories in Gnss-denied Environments Using Aerial Nadir and Aerial Oblique Images
* 2019: Design, Calibration, and Evaluation of a Backpack Indoor Mobile Mapping System
* 2019: Detecting Building Changes between Airborne Laser Scanning and Photogrammetric Data
* 2019: Integrating a Low-cost Mems Imu Into a Laser-based Slam for Indoor Mobile Mapping
* 2019: LIP: Learning Instance Propagation for Video Object Segmentation
* 2019: Semantic Labeling of Als Point Clouds for Tree Species Mapping Using The Deep Neural Network Pointnet++
* 2019: Semantic segmentation of road furniture in mobile laser scanning data
* 2020: Active and incremental learning for semantic ALS point cloud segmentation
* 2020: Detection of radioactive waste sites in the Chornobyl exclusion zone using UAV-based lidar data and multispectral imagery
* 2020: Innovative Remote Sensing Methodologies for Kenyan Land Tenure Mapping
* 2020: Post-Disaster Building Damage Detection from Earth Observation Imagery Using Unsupervised and Transferable Anomaly Detecting Generative Adversarial Networks
* 2020: UAVid: A semantic segmentation dataset for UAV imagery
* 2021: Enhanced trajectory estimation of mobile laser scanners using aerial images
* 2021: Local and global encoder network for semantic segmentation of Airborne laser scanning point clouds
* 2021: Simple loop closing for continuous 6DOF LIDAR&IMU graph SLAM with planar features for indoor environments
* 2021: Towards Learning Low-light Indoor Semantic Segmentation With Illumination-invariant Features
* 2021: Video object detection with a convolutional regression tracker
* 2022: Instance-Aware Semantic Segmentation of Road Furniture in Mobile Laser Scanning Data
* 2022: LISU: Low-light indoor scene understanding with joint learning of reflectance restoration
* 2022: Towards Improved Unmanned Aerial Vehicle Edge Intelligence: A Road Infrastructure Monitoring Case Study
* 2022: Training a Disaster Victim Detection Network for UAV Search and Rescue Using Harmonious Composite Images
* 2022: Weakly supervised semantic segmentation of airborne laser scanning point clouds
* 2023: BuilDiff: 3D Building Shape Generation using Single-Image Conditional Point Cloud Diffusion Models
* 2023: Interactive Image Segmentation with Cross-Modality Vision Transformers
* 2023: Lite-Mono: A Lightweight CNN and Transformer Architecture for Self-Supervised Monocular Depth Estimation
* 2023: TransFusion: Multi-modal Fusion Network for Semantic Segmentation
Includes: Vosselman, G. Vosselman, G.[George]
105 for Vosselman, G.
Vosselmann, G.
* 1988: Precision of a Digital Camera, The
Vossen, A.
* 2005: Invariance in Kernel Methods by Haar-Integration Kernels
Vossepoel, A.
* 1996: Landmark-Based Approach of Shape Dissimilarity, A
Vossepoel, A.M.
* 1982: Vector Code Probability and Metrication Error in the Representation of Straight Lines of Finite Length
* 1988: Adaptive Histogram Equalization Using Variable Regions
* 1988: Note on Distance Transformations in Digital Images, A
* 1990: Interactive Histogram Equalization
* 1990: Skeletons from chain-coded contours
* 1992: Estimating the size of circular pre-images from coarsely digitized representations
* 1994: Compilation of Mosaics from Separately Scanned Line Drawings
* 1995: Accurate Mosaicking of Scanned Maps, or How to Generate a Virtual A0 Scanner
* 1997: Adaptive Vectorization of Line Drawing Images
* 1997: Memory Efficient Skeletonization of Utility Maps
* 1997: Two-Stage Approach to Automatic Segmentation of Metaphase Images, A
* 1998: Generation of the Euclidean Skeleton from the Vector Distance Map by a Bisector Decision Rule
* 2000: Evaluation of Ridge Extraction Methods for Portal Imaging, An
* 2002: Towards computer-assisted surgery in shoulder joint replacement
* 2004: statistical shape model without using landmarks, A
* 2006: Modeling of Scanning Laser Polarimetry Images of the Human Retina for Progression Detection of Glaucoma
Includes: Vossepoel, A.M. Vossepoel, A.M.[Albert M.]
16 for Vossepoel, A.M.
Vossepoel, M.
* 1993: Evaluation Method for an Automatic Map Interpretation System for Cadastral Maps
Vossiek, M.[Martin]
* 2023: ShaRPy: Shape Reconstruction and Hand Pose Estimation from RGB-D with Uncertainty
Vossler, C.[Charles]
* 1961: Pattern-Recognition Program that Generates, Evaluates, and Adjusts Its Own Operators, A
* 1963: Pattern-Recognition Program that Generates, Evaluates, and Adjusts Its Own Operators, A