Index for lind

Lind, B.[Brianna] * 2019: Trends in Woody and Herbaceous Vegetation in the Savannas of West Africa

Lind, B.M.[Brianna M] * 2019: Alternative Vegetation States in Tropical Forests and Savannas: The Search for Consistent Signals in Diverse Remote Sensing Data

Lind, H. * 2010: Holistic Approach to the Integration of Safety Applications: The INSAFES Subproject Within the European Framework Programme 6 Integrating Project PReVENT, A

Lind, J. * 1999: 3D Localisation from DSA Images using the Leksell Stereotactic Frame
* 2014: Image processing in experiments on, and simulations of plastic deformation of polycrystals
Includes: Lind, J. Lind, J.[Jonathan]

Lind, L. * 1999: Optimum variable step-size sequence for LMS adaptive filters

Lind, M.[Mats] * 2006: Effects of Layer Partitioning in Collaborative 3D Visualizations
* 2019: Embedded Prototype Subspace Classification: A Subspace Learning Framework

Lind, R.J.[Rob J.] * 2023: Unlocking Comparative Plant Scoring with Siamese Neural Networks and Pairwise Pseudo Labelling

Lind, R.N.[Randall N.] * 2022: Verification and Validation of Hybridspectral Radiometry Obtained from an Unmanned Surface Vessel (USV) in the Open and Coastal Oceans

Linda, O. * 2011: Online Spatio-Temporal Risk Assessment for Intelligent Transportation Systems

Lindahl, G. * 1999: Fusion of Multimodality Brain Images

Lindauer, M.[Marius] * 2021: Auto-Pytorch: Multi-Fidelity MetaLearning for Efficient and Robust AutoDL
* 2021: Winning Solutions and Post-Challenge Analyses of the ChaLearn AutoDL Challenge 2019

Lindauer, S.[Susanne] * 2021: High-Resolution Direct Push Sensing in Wetland Geoarchaeology: First Traces of Off-Site Construction Activities at the Fossa Carolina

Lindberg, A.S.W.[Anne Sofie Wessel] * 2017: Interpolation from Grid Lines: Linear, Transfinite and Weighted Method
Includes: Lindberg, A.S.W.[Anne Sofie Wessel] Lindberg, A.S.W.[Anne-Sofie Wessel]

Lindberg, D.V. * 2014: Blind Categorical Deconvolution in Two-Level Hidden Markov Models
* 2015: Inference of the Transition Matrix in Convolved Hidden Markov Models and the Generalized Baum-Welch Algorithm

Lindberg, E. * 2012: Comparison of Methods for Estimation of Stem Volume, Stem Number and Basal Area from Airborne Laser Scanning Data in a Hemi-Boreal Forest
* 2013: Estimation of Tree Lists from Airborne Laser Scanning Using Tree Model Clustering and k-MSN Imputation
* 2015: Can Airborne Laser Scanning (ALS) and Forest Estimates Derived from Satellite Images Be Used to Predict Abundance and Species Richness of Birds and Beetles in Boreal Forest?
* 2016: International Benchmarking of the Individual Tree Detection Methods for Modeling 3-D Canopy Structure for Silviculture and Forest Ecology Using Airborne Laser Scanning
* 2018: Assessing Error Correlations in Remote Sensing-Based Estimates of Forest Attributes for Improved Composite Estimation
* 2018: Exploring Multispectral ALS Data for Tree Species Classification
* 2018: Exploring Multispectral ALS Data for Tree Species Classification
* 2018: Forest Variable Estimation Using a High Altitude Single Photon Lidar System
* 2018: Tree Species Classification with Multi-Temporal Sentinel-2 Data
* 2022: Individual tree detection and estimation of stem attributes with mobile laser scanning along boreal forest roads
Includes: Lindberg, E. Lindberg, E.[Eva]
10 for Lindberg, E.

Lindberg, F.[Fredrik] * 2016: Uncertainties in Tidally Adjusted Estimates of Sea Level Rise Flooding (Bathtub Model) for the Greater London

Lindberg, J. * 2016: Detection of cracks in nuclear power plant using spatial-temporal grouping of local patches
* 2017: Crack Segmentation by Leveraging Multiple Frames of Varying Illumination

Lindberg, S.[Siv] * 2005: Perceptual assessment of simulated print noise with random and periodic structure

Lindbergh, S.[Sarah] * 2021: Towards Resilient Critical Infrastructures: Understanding the Impact of Coastal Flooding on the Fuel Transportation Network in the San Francisco Bay

Lindbichler, F. * 2002: Spiral-CT-based assessment of tracheal stenoses using 3-D-skeletonization

Lindblad, J.[Joakim] * 2001: Comparison of Methods for Estimation of Intensity Nonuniformities in 2D and 3D Microscope Images of Fluorescence Stained Cells, A
* 2001: Multiple Tissue Antigen Analysis by Sequential Immunofluorescence Staining and Multi-dimensional Image analysis
* 2004: Defuzzification of discrete objects by optimizing area and perimeter similarity
* 2004: Surface area estimation of digitized 3D objects using weighted local configurations
* 2005: Estimation of Moments of Digitized Objects with Fuzzy Borders
* 2006: Feature Based Defuzzification at Increased Spatial Resolution
* 2007: Grey Weighted Polar Distance Transform for Outlining Circular and Approximately Circular Objects
* 2007: Quantification of Bone Remodeling in the Proximity of Implants
* 2008: Deterministic Defuzzification Based on Spectral Projected Gradient Optimization
* 2008: Registration of 2D Histological Images of Bone Implants with 3D SRmuCT Volumes
* 2008: Spatially-variant morphological operations on binary images based on the polar distance transform
* 2009: High-Precision Boundary Length Estimation by Utilizing Gray-Level Information
* 2009: Improved Quantification of Bone Remodelling by Utilizing Fuzzy Based Segmentation
* 2009: Pixel Coverage Segmentation for Improved Feature Estimation
* 2009: Quantification of Bone Remodeling in SRmuCT Images of Implants
* 2009: Recovering Affine Deformations of Fuzzy Shapes
* 2009: Sub-pixel Segmentation with the Image Foresting Transform
* 2010: De-noising of SRµCT Fiber Images by Total Variation Minimization
* 2010: Estimation of linear deformations of 3D objects
* 2010: Methods for Visualization of Bone Tissue in the Proximity of Implants
* 2011: Defuzzification of spatial fuzzy sets by feature distance minimization
* 2011: Distance Measures between Digital Fuzzy Objects and Their Applicability in Image Processing
* 2012: Coverage segmentation based on linear unmixing and minimization of perimeter and boundary thickness
* 2013: Blind Color Decomposition of Histological Images
* 2014: Evaluation of Potential Functions for Regularized Image Deblurring, An
* 2014: Linear Time Distances Between Fuzzy Sets With Applications to Pattern Matching and Classification
* 2014: Optimizing Optics and Imaging for Pattern Recognition Based Screening Tasks
* 2015: Estimation of linear deformations of 2D and 3D fuzzy objects
* 2015: Exact Linear Time Euclidean Distance Transforms of Grid Line Sampled Shapes
* 2015: Microscopy Image Enhancement for Cost-Effective Cervical Cancer Screening
* 2015: Precise Euclidean distance transforms in 3D from voxel coverage representation
* 2016: Estimation of Feret's diameter from pixel coverage representation of a shape
* 2016: Signature of a Shape Based on Its Pixel Coverage Representation
* 2016: Single image super-resolution reconstruction in presence of mixed Poisson-Gaussian noise
* 2017: Convolutional Neural Networks for False Positive Reduction of Automatically Detected Cilia in Low Magnification TEM Images
* 2017: Decoding Gene Expression in 2D and 3D
* 2017: Distance Between Vector-Valued Fuzzy Sets Based on Intersection Decomposition with Applications in Object Detection
* 2017: Distance Between Vector-Valued Representations of Objects in Images with Application in Object Detection and Classification
* 2017: Enhancement of Cilia Sub-structures by Multiple Instance Registration and Super-Resolution Reconstruction
* 2018: Towards Automated Multiscale Imaging and Analysis in TEM: Glomerulus Detection by Fusion of CNN and LBP Maps
* 2019: Fast and Robust Symmetric Image Registration Based on Distances Combining Intensity and Spatial Information
* 2019: On the Effectiveness of Generative Adversarial Networks as HEp-2 Image Augmentation Tool
* 2019: Stochastic Distance Transform
* 2020: Deep Learning Based Pipeline for Efficient Oral Cancer Screening on Whole Slide Images, A
* 2020: Generalised deep learning framework for HEp-2 cell recognition using local binary pattern maps
* 2020: Stochastic Distance Transform: Theory, Algorithms and Applications
* 2022: Fast computation of mutual information in the frequency domain with applications to global multimodal image alignment
* 2023: Can Representation Learning for Multimodal Image Registration be Improved by Supervision of Intermediate Layers?
Includes: Lindblad, J.[Joakim] Lindblad, J.
48 for Lindblad, J.

Lindblad, T.[Thomas] * 2000: Image analysis for airborne reconnaissance and missile applications
* 2000: Patterns from the sky
* 2000: Treatment of obstructive sleep apnea syndrome by monitoring patients airflow signals

Linde, J.[Johannes] * 2021: High-Speed, Light-Weight Scalar Magnetometer Bird for km Scale UAV Magnetic Surveying: On Sensor Choice, Bird Design, and Quality of Output Data, A

Linde, J.E.[Jorgen E.] * 2016: Detection of Activities During Newborn Resuscitation Based on Short-Time Energy of Acceleration Signal
Includes: Linde, J.E.[Jorgen E.] Linde, J.E.[Jørgen E.]

Linde, O.[Oskar] * 2004: Object recognition using composed receptive field histograms of higher dimensionality
* 2012: Composed complex-cue histograms: An investigation of the information content in receptive field based image descriptors for object recognition

Linde, P. * 1997: Combining Ground- and Space-Based Observations for Optimum Photometry in Crowded Stellar Fields

Linde, Y. * 1980: Algorithm for Vector Quantizer Design, An
* 1982: Vector Quantizatizers and Predictive Quantizers for Gauss-Markov Sources

Lindeberg, T. * 1988: On the Construction of a Scale-Space for Discrete Images
* 1989: Scale Space for Discrete Images
* 1990: Guiding Early Visual Processing with a Scale-Space Primal Sketch
* 1990: On Scale and Resolution in Active Analysis of Local Image Structure
* 1990: On Scale and Resolution in Active Analysis of Local Image Structure
* 1990: On Scale and Resolution in the Analysis of Local Image Structure
* 1990: On Scale and Resolution in the Analysis of Local Image Structure
* 1990: On the Computation of a Scale-Space Primal Sketch
* 1990: Scale Detection and Region Extraction from a Scale-Space Primal Sketch
* 1990: Scale-Space for Discrete Signals
* 1991: Analysis of Aerosol Images using the Scale-Space Primal Sketch
* 1991: Analysis of Aerosol Images using the Scale-Space Primal Sketch
* 1991: Discrete Scale-Space Theory and the Scale-Space Primal Sketch
* 1991: On the Behaviour in Scale-Space of Local Extrema and Blobs
* 1991: On the Computation of a Scale-Space Primal Sketch
* 1991: On the Computation of a Scale-Space Primal Sketch
* 1991: Qualitative Shape: Some Computational Aspects
* 1991: Qualitative Shape: Some Computational Aspects
* 1992: Active Detection and Classification of Junctions by Foveation with a Head-Eye System Guided by the Scale-Space Primal Sketch
* 1992: Discrete Derivative Approximations with Scale-Space Properties: A Basis for Low-Level Feature Extraction
* 1992: Extraction of Shape Features and Experiments on Cue Integration
* 1992: Extraction of Shape Features and Experiments on Cue Integration
* 1992: Scale-Space Behaviour of Local Extrema and Blobs
* 1992: Scale-Space Behaviour of Local Extrema and Blobs
* 1992: Scale-Space Primal Sketch: Construction and Experiments
* 1993: Active Detection and Classification of Junctions by Foveation with a Head-Eye System Guided by the Scale-Space Primal Sketch
* 1993: Detecting Salient Blob-Like Image Structures and Their Scales with a Scale-Space Primal Sketch: A Method for Focus-of-Attention
* 1993: Detecting Salient Blob-Like Image Structures and Their Scales with a Scale-Space Primal Sketch: A Method for Focus-of-Attention
* 1993: Direct Computation of Shape Cues Based on Scale-Adapted Spatial Derivative Operators
* 1993: Discrete Derivative Approximations with Scale-Space Properties: A Basis for Low-Level Feature Extraction
* 1993: Effective Scale: A Natural Unit for Measuring Scale-Space Lifetime
* 1993: On Scale Selection for Differential Operators
* 1993: On Scale Selection for Differential Operators
* 1993: Scale-Space Theory in Computer Vision
* 1993: Scale-Space: A Basis for Early Vision
* 1993: Shape from Texture from a Multi-Scale Perspective
* 1993: Shape from Texture from a Multi-Scale Perspective
* 1993: Shape-Adapted Smoothing in Estimation of 3-D Depth Cues from Affine Distortions of Local 2-D Structure
* 1994: Automatic Generation of Break Points for MDL Based Curve Classification
* 1994: Direct Estimation of Image Deformations Using Visual Front-End Operations with Automatic Scale Selection
* 1994: Direct Estimation of Local Surface Shape in a Fixating Binocular Vision System
* 1994: Direct Estimation of Local Surface Shape in a Fixating Binocular Vision System
* 1994: Effective Scale: A Natural Unit for Measuring Scale-Space Lifetime
* 1994: Junction Detection with Automatic Selection of Detection Scales and Localization Scales
* 1994: Linear Scale-Space II: Early Visual Operators
* 1994: Linear Scale-Space II: Early Visual Operators
* 1994: On the Axiomatic Foundations of Linear Scale-Space: Combining Semi-Group Structure with Causality vs. Scale Invariance
* 1994: Scale Selection for Differential Operators
* 1994: Scale-Space Behaviour and Invariance Properties of Differential Singularities
* 1994: Scale-Space for N-Dimensional Discrete Signals
* 1994: Scale-Space Theory: A Basic Tool for Analysing Structures at Different Scales
* 1994: Shape-Adapted Smoothing in Estimation of 3-D Depth Cues from Affine Distortions of Local 2-D Structure
* 1995: Automatic Generation of Break Points for MDL Based Curve Classification
* 1995: Direct Estimation of Affine Deformations Using Visual Front-End Operators with Automatic Scale Selection
* 1996: Direct Computation of Shape Cues Using Scale-Adapted Spatial Derivative Operators
* 1996: Edge Detection and Ridge Detection with Automatic Scale Selection
* 1996: Edge Detection with Automatic Scale Selection
* 1996: Feature Tracking with Automatic Selection of Spatial Scales
* 1996: Scale-Space with Causal Time Direction
* 1997: Analysis of Brain Activation Patterns Using a 3-D Scale-Space Primal Sketch
* 1997: Classification of Carbide Distributions Using Scale Selection and Directional Distributions
* 1997: Linear Spatio-Temporal Scale-Space
* 1997: On Automatic Selection of Temporal Scales in Time-Causal Scale-Space
* 1997: On the Handling of Spatial and Temporal Scales in Feature Tracking
* 1997: Segmentation and Classification of Edges Using Minimum Description Length Approximation and Complementary Junction Cues
* 1997: Shape-Adapted Smoothing in Estimation of 3-D Shape Cues from Affine Deformations of Local 2-D Brightness Structure
* 1998: Edge Detection and Ridge Detection with Automatic Scale Selection
* 1998: Feature Detection with Automatic Scale Selection
* 1998: Feature Tracking with Automatic Selection of Spatial Scales
* 1998: scale selection principle for estimating image deformations, A
* 1998: Use Your Hand as a 3-D Mouse or Relative Orientation from Extended Sequences of Sparse Point and Line Correspondences Using the Affine Trifocal Tensor
* 1999: Principles for automatic scale selection
* 1999: Principles for automatic scale selection
* 1999: Qualitative Multiscale Feature Hierarchies for Object Tracking
* 2000: automatic assessment scheme for steel quality inspection, An
* 2000: Automatic Extraction of Roads from Aerial Images Based on Scale Space and Snakes
* 2000: Fingerprint Enhancement by Shape Adaptation of Scale-Space Operators with Automatic Scale Selection
* 2000: Qualitative Multiscale Feature Hierarchies for Object Tracking
* 2001: multi-scale feature likelihood map for direct evaluation of object hypotheses, A
* 2001: Tracking of multi-state hand models using particle filtering and a hierarchy of multi-scale image features
* 2002: Hand gesture recognition using multi-scale colour features, hierarchical models and particle filtering
* 2002: On the Representation and Matching of Qualitative Shape at Multiple Scales
* 2002: Time-Recursive Velocity-Adapted Spatio-Temporal Scale-Space Filters
* 2003: Distance Measure and a Feature Likelihood Map Concept for Scale-Invariant Model Matching, A
* 2003: Fully Automatic Segmentation of MRI Brain Images Using Probabilistic Anisotropic Diffusion and Multi-scale Watersheds
* 2003: Interest Point Detection and Scale Selection in Space-Time
* 2003: Real-Time Scale Selection in Hybrid Multi-scale Representations
* 2003: Space-time interest points
* 2004: Galilean-diagonalized spatio-temporal interest operators
* 2004: Local Descriptors for Spatio-temporal Recognition
* 2004: Object recognition using composed receptive field histograms of higher dimensionality
* 2004: Recognizing human actions: a local SVM approach
* 2004: Velocity adaptation of space-time interest points
* 2004: Velocity adaptation of spatio-temporal receptive fields for direct recognition of activities: an experimental study
* 2007: Local velocity-adapted motion events for spatio-temporal recognition
* 2008: Scale-Space
* 2011: Generalized Gaussian Scale-Space Axiomatics Comprising Linear Scale-Space, Affine Scale-Space and Spatio-Temporal Scale-Space
* 2012: Composed complex-cue histograms: An investigation of the information content in receptive field based image descriptors for object recognition
* 2013: Image Matching Using Generalized Scale-Space Interest Points
* 2013: Scale Selection Properties of Generalized Scale-Space Interest Point Detectors
* 2015: Image Matching Using Generalized Scale-Space Interest Points
* 2015: Scale-Space Theory for Auditory Signals
* 2015: Separable Time-Causal and Time-Recursive Spatio-Temporal Receptive Fields
* 2016: Time-Causal and Time-Recursive Spatio-Temporal Receptive Fields
* 2017: Dynamic Texture Recognition Using Time-Causal Spatio-Temporal Scale-Space Filters
* 2017: Spatio-Temporal Scale Selection in Video Data
* 2017: Temporal Scale Selection in Time-Causal Scale Space
* 2018: Dense Scale Selection Over Space, Time, and Space-Time
* 2018: Dynamic Texture Recognition Using Time-Causal and Time-Recursive Spatio-Temporal Receptive Fields
* 2018: Spatio-Temporal Scale Selection in Video Data
* 2019: Provably Scale-Covariant Networks from Oriented Quasi Quadrature Measures in Cascade
* 2020: Provably Scale-Covariant Continuous Hierarchical Networks Based on Scale-Normalized Differential Expressions Coupled in Cascade
* 2021: Exploring the ability of CNNs to generalise to previously unseen scales over wide scale ranges
* 2021: Scale-covariant and Scale-invariant Gaussian Derivative Networks
* 2021: Understanding when spatial transformer networks do not support invariance, and what to do about it
* 2022: In Memoriam: Jan-Olof Eklundh
Includes: Lindeberg, T. Lindeberg, T.[Tony]
116 for Lindeberg, T.

Lindegren, D. * 2011: IP-Based Mobile and Fixed Network Audiovisual Media Services

Lindell, D.B.[David B.] * 2016: Multiyear Arctic Ice Classification Using ASCAT and SSMIS
* 2016: Multiyear Arctic Sea Ice Classification Using OSCAT and QuikSCAT
* 2017: Reconstructing Transient Images from Single-Photon Sensors
* 2019: Acoustic Non-Line-Of-Sight Imaging
* 2020: Disambiguating Monocular Depth Estimation with a Single Transient
* 2020: Non-Line-of-Sight Surface Reconstruction Using the Directional Light-Cone Transform
* 2021: AutoInt: Automatic Integration for Fast Neural Volume Rendering
* 2022: Bacon: Band-Limited Coordinate Networks for Multiscale Scene Representation
* 2023: Passive Ultra-Wideband Single-Photon Imaging
* 2023: SparsePose: Sparse-View Camera Pose Regression and Refinement
Includes: Lindell, D.B.[David B.] Lindell, D.B.
10 for Lindell, D.B.

Lindell, R.[Rikard] * 2016: Low-Cost Mixed Reality Simulator for Industrial Vehicle Environments

Lindell, T. * 2005: Dissolved Organic Matters Impact on Colour Reconstruction in Underwater Images

Lindeman, J.C. * 2015: Haptic ChairIO: A system to study the effect of wind and floor vibration feedback on spatial orientation in VEs

Lindeman, N.I.[Neal I.] * 2022: Pathomic Fusion: An Integrated Framework for Fusing Histopathology and Genomic Features for Cancer Diagnosis and Prognosis

Lindeman, R.[Robert] * 2008: GPU-Based Optimization of a Free-Viewpoint Video System

Lindeman, R.W. * 2004: new instrumented approach for translating American Sign Language into sound and text, A
* 2010: Camera movement for chasing a subject with unknown behavior based on real-time viewpoint goodness evaluation
* 2012: Comparing isometric and elastic surfboard interfaces for leaning-based travel in 3D virtual environments
* 2012: Comparing vibro-tactile feedback modes for collision proximity feedback in USAR virtual robot teleoperation
* 2013: DIY World Builder: An immersive level-editing system
* 2013: ForceExtension: Extending isotonic position-controlled multi-touch gestures with rate-controlled force sensing for 3D manipulation
* 2015: Haptic ChairIO: A system to study the effect of wind and floor vibration feedback on spatial orientation in VEs
* 2015: multi-touch finger gesture based low-fatigue VR travel framework, A
* 2019: Towards a Maori Telepresence System
Includes: Lindeman, R.W. Lindeman, R.W.[Robert W.]
9 for Lindeman, R.W.

Lindemann, D.[Dirk] * 2013: Surveying European Landscape Dynamics

Lindemann, H.B.[Harley B.] * 1985: Target recognition system enhanced by active signature measurements

Lindemann, L.[Lea] * 2011: Assessing the quality of compressed images using EEG

Linden, A. * 2009: Diffusion Tensor Images Upsampling: A Registration-Based Approach

Linden, D. * 2010: Acquisition of NIR-Green-Blue Digital Photographs from Unmanned Aircraft for Crop Monitoring

Linden, D.C.P.[David C. P.] * 1992: Image coding apparatus and method utilizing separable transformations

Linden, D.E.J.[David E.J.] * 2010: On-Line fMRI Data Classification Using Linear and Ensemble Classifiers
* 2010: Random Subspace Ensembles for fMRI Classification
* 2014: spatial discrepancy measure between voxel sets in brain imaging, A
Includes: Linden, D.E.J.[David E.J.] Linden, D.E.J. Linden, D.E.J.[David E. J.]

Linden, E. * 2019: Learning to Personalize in Appearance-Based Gaze Tracking
Includes: Linden, E. Lindén, E.

Linden, J.[Johan] * 1999: Measure-based classifier performance evaluation
Includes: Linden, J.[Johan] Lindén, J.[Johan]

Linden, K.[Krister] * 2018: Rethinking Summarization and Storytelling for Modern Social Multimedia
Includes: Linden, K.[Krister] Lindén, K.[Krister]

Linden, K.J. * 2005: Terahertz laser based standoff imaging system

Linden, M.[Maria] * 2014: Signal processing algorithms for temperauture drift in a MEMS-gyro-based head mouse

Lindenbaum, D. * 2018: DeepGlobe 2018: A Challenge to Parse the Earth through Satellite Images
* 2019: SpaceNet MVOI: A Multi-View Overhead Imagery Dataset

Lindenbaum, M. * 1988: Compression of Chain Codes Using Digital Straight Line Sequences
* 1988: Determining Object Shape from Local Velocity Measurements
* 1988: On the Number of Digital Straight Lines on an NxN Grid
* 1990: Digital or Analog Hough Transform
* 1990: Planar curve segmentation for recognition of partially occluded shapes
* 1990: Probabilistic Analysis of Hierarchical Geometric Data Structures, A
* 1990: Reconstructing a Convex Polygon from Binary Perspective Projections
* 1991: Digital or Analog Hough Transform
* 1991: New Parameterization of Digital Straight Lines, A
* 1992: Similarity-Invariant Signatures for Partially Occluded Planar Shapes
* 1993: On Recursive, O(N) Partitioning of a Digitized Curve into Digital Straight Segments
* 1994: Applying VC-Dimension Analysis to 3D Object Recognition from Perspective Projections
* 1994: Applying VC-Dimension Analysis to Object Recognition
* 1994: Blind Approximation of Planar Convex Sets
* 1994: Blind Approximation of Planar Convex Shapes
* 1994: Curve Segmentation under Partial Occlusion
* 1994: Farthest Point Strategy for Progressive Image Sampling, The
* 1994: On Gabor's Contribution To Image-Enhancement
* 1994: On the amount of data required for reliable recognition
* 1994: On the metric properties of discrete space-filling curves
* 1995: Bounds on Shape-Recognition Performance
* 1995: Euclidean Voronoi Labelling on the Multidimensional Grid
* 1995: Partial eigenvalue decomposition of large images using spatial temporal adaptive method
* 1996: Education in image sciences and engineering at the Technion
* 1996: On the metric properties of discrete space-filling curves
* 1996: Quantifying the Reliability of Feature-Based Object Recognition
* 1996: Quantitative Analysis of Grouping Processes
* 1997: Farthest Point Strategy for Progressive Image Sampling, The
* 1997: Integrated Model for Evaluating the Amount of Data Required for Reliable Recognition, An
* 1998: Generic Grouping Algorithm and Its Quantitative Analysis, A
* 1998: Ground from Figure Discrimination
* 1998: Grouping-Based Nonadditive Verification
* 1998: Layered Representation for Model-Based Filtering and Recognition, A
* 1998: Robotic Control with Partial Visual Information
* 1998: Sequential Karhunen-Loeve Basis Extraction and its Application to Images
* 1998: Some Trade-offs and a New Algorithm for Geometric Hashing
* 1999: Ground from Figure Discrimination
* 1999: Shape Reconstruction of 3D Bilaterally Symmetric Surfaces
* 1999: VC-Dimension Analysis of Object Recognition Tasks
* 2000: Camera Model Selection based on Geometric AIC
* 2000: Probabilistic Interpretation of the Saliency Network, A
* 2000: Robotic Control with Partial Visual Information
* 2000: Sequential Karhunen-Loeve Basis Extraction and its Application to Images
* 2000: Shape Reconstruction of 3D Bilaterally Symmetric Surfaces
* 2001: Efficient Sequential Karhunen-Loeve Basis Extraction
* 2001: Guest editors' introduction to the special section on perceptual organization in computer vision
* 2001: On the Performance of Connected Components Grouping
* 2003: Guest editors' introduction to the special section on perceptual organization in computer vision
* 2004: Dynamic Visual Search Using Inner-Scene Similarity: Algorithms and Inherent Limitations
* 2004: Information-Based Measure for Grouping Quality, An
* 2004: On the Distribution of Saliency
* 2004: probabilistic cooperation between trackers of coupled objects, A
* 2004: probabilistic framework for combining tracking algorithms, A
* 2004: Whitening for Photometric Comparison of Smooth Surfaces under Varying Illumination
* 2005: On the Equivalence of Common Approaches to Lighting Insensitive Recognition
* 2006: Attention-Based Dynamic Visual Search Using Inner-Scene Similarity: Algorithms and Bounds
* 2006: Gabor Filter Analysis for Texture Segmentation
* 2006: General Framework for Combining Visual Trackers: The Black Boxes Approach, A
* 2006: On the Distribution of Saliency
* 2007: Surface Dependent Representations for Illumination Insensitive Image Comparison
* 2007: Visual Tracking by Affine Kernel Fitting Using Color and Object Boundary
* 2008: Bittracker: A Bitmap Tracker for Visual Tracking under Very General Conditions
* 2008: Generalised blind sampling of images
* 2008: Unsupervised estimation of segmentation quality using nonnegative factorization
* 2009: Boundary ownership by lifting to 2.1D
* 2009: Nonnegative Matrix Factorization with Earth Mover's Distance metric
* 2009: Optimizing Gabor Filter Design for Texture Edge Detection and Classification
* 2009: Tracking by Affine Kernel Transformations Using Color and Boundary Cues
* 2010: Esaliency (Extended Saliency): Meaningful Attention Using Stochastic Image Modeling
* 2010: Mean Shift tracking with multiple reference color histograms
* 2010: Non-local Characterization of Scenery Images: Statistics, 3D Reasoning, and a Generative Model
* 2011: Dense Mirroring Surface Recovery from 1D Homographies and Sparse Correspondences
* 2011: Multiple Region Categorization for Scenery Images
* 2011: Nonnegative Matrix Factorization with Earth Mover's Distance Metric for Image Analysis
* 2011: Segmentation Quality Measure Based on Rich Descriptors and Classification Methods, A
* 2012: Blind Adaptive Sampling of Images
* 2012: Feature shift detection
* 2012: Learning Implicit Transfer for Person Re-identification
* 2012: One-Class Background Model
* 2013: Beyond Independence: An Extension of the A Contrario Decision Procedure
* 2013: Transitive Re-identification
* 2014: Cues in Dependent Multiple Cue Integration for Robust Tracking Are Independent, The
* 2014: Temporal face embedding and propagation in photo collections
* 2016: Interpreting the Ratio Criterion for Matching SIFT Descriptors
* 2016: Local Variation as a Statistical Hypothesis Test
* 2017: Increasing CNN Robustness to Occlusions by Reducing Filter Support
* 2018: Graph based over-segmentation methods for 3D point clouds
* 2019: Nesti-Net: Normal Estimation for Unstructured 3D Point Clouds Using Convolutional Neural Networks
* 2020: DPDist: Comparing Point Clouds Using Deep Point Cloud Distance
* 2020: Enhancing Generic Segmentation With Learned Region Representations
* 2021: On the Minimal Recognizable Image Patch
Includes: Lindenbaum, M. Lindenbaum, M.[Michael]
91 for Lindenbaum, M.

Lindenbaum, O. * 2018: Multiview Kernels for Low-Dimensional Modeling of Seismic Events
* 2020: Variational Diffusion Autoencoders with Random Walk Sampling
Includes: Lindenbaum, O. Lindenbaum, O.[Ofir]

Lindenberg, L. * 2016: automatic 3D CT/PET segmentation framework for bone marrow proliferation assessment, An

Lindenberg, R. * 2016: Iqmulus Urban Showcase: Automatic Tree Classification And Identification In Huge Mobile Mapping Point Clouds, The

Lindenberger, P.[Philipp] * 2021: Pixel-Perfect Structure-from-Motion with Featuremetric Refinement
* 2023: LightGlue: Local Feature Matching at Light Speed

Lindenbergh, R. * 2005: Accuracy analysis of the Leica HDS3000 and feasibility of tunnel deformation monitoring
* 2006: Deformation analysis of a bored tunnel by means of terrestrial laserscanning
* 2006: Revealing Celtic Fields from LIDAR Data using Kriging Based Filtering
* 2007: Icesat Fullwaveform Altimetry Compared to Airborne Laser Altimetry over the Netherlands
* 2008: CAMPINO: A skeletonization method for point cloud processing
* 2008: Reducing the Error in Terrestrial Laser Scanning by Optimizing the Measurement Set-Up
* 2009: Incidence angle influence on the quality of Terrestrial Laser Scanning points
* 2010: Eolian Sand Transport Monitored By Terrestrial Laser Scanning
* 2010: Influence Of Atmospheric Conditions On The Range Distance And Number Of Returned Points In Leica Scanstation 2 Point Clouds.
* 2010: SkelTre: Robust skeleton extraction from imperfect point clouds
* 2011: Evaluation of a LIDAR Land-Based Mobile Mapping System for Monitoring Sandy Coasts
* 2011: Identifying Corresponding Segments From Repeated Scan Data
* 2011: Optimizing Terrestrial Laser Scanning Measurement Set-Up
* 2011: Scanning geometry: Influencing factor on the quality of terrestrial laser scanning points
* 2012: Seasonal Trends In Tibetan Lake Level Changes As Observed By Icesat Laser Altimetry
* 2013: Automatic Estimation of Excavation Volume from Laser Mobile Mapping Data for Mountain Road Widening
* 2014: Accuracy assessment of building point clouds automatically generated from iphone images
* 2016: Morphological Changes Along A Dike Landside Slope Sampled By 4d High Resolution Terrestrial Laser Scanning
* 2016: Quality Assessment And Comparison Of Smartphone And Leica C10 Laser Scanner Based Point Clouds
* 2016: Speeding Up Coarse Point Cloud Registration By Threshold-independent Baysac Match Selection
* 2017: Assessing Orographic Variability in Glacial Thickness Changes at the Tibetan Plateau Using ICESat Laser Altimetry
* 2017: Robust Cylinder Fitting In Three-dimensional Point Cloud Data
* 2017: Semi-Automated Monitoring of a Mega-Scale Beach Nourishment Using High-Resolution TerraSAR-X Satellite Data
* 2017: SigVox-A 3D feature matching algorithm for automatic street object recognition in mobile laser scanning point clouds
* 2018: Extracting Individual Bricks from a Laser Scan Point Cloud of an Unorganized Pile of Bricks
* 2018: Range Image Technique for Change Analysis of Rock Slopes Using Dense Point Cloud Data
* 2019: AdTree: Accurate, Detailed, and Automatic Modelling of Laser-Scanned Trees
* 2019: Automatic Building Outline Extraction from ALS Point Clouds by Ordered Points Aided Hough Transform
* 2019: Automatic Shadow Detection in Urban Very-High-Resolution Images Using Existing 3D Models for Free Training
* 2019: Building Segmentation From Airborne VHR Images Using Mask R-CNN
* 2019: Clustering Time Series of Repeated Scan Data of Sandy Beaches
* 2020: 4D objects-by-change: Spatiotemporal segmentation of geomorphic surface change from LiDAR time series
* 2020: LiDAR-guided dense matching for detecting changes and updating of buildings in Airborne LiDAR data
* 2020: Training In Innovative Technologies for Close-range Sensing In Alpine Terrain - 3rd Edition
* 2021: Combining multi-spectral and thermal remote sensing to predict forest fire characteristics
* 2021: Deep Localization of Static Scans in Mobile Mapping Point Clouds
* 2021: Environmental Influences on the Stability of a Permanently Installed Laser Scanner
* 2021: Fully automatic spatiotemporal segmentation of 3D LiDAR time series for the extraction of natural surface changes
* 2021: Towards a Digital Twin of a Storage Tank Using Laser Scan Data
* 2022: Evaluation of SAR and Optical Data for Flood Delineation Using Supervised and Unsupervised Classification
Includes: Lindenbergh, R. Lindenbergh, R.[Roderik]
40 for Lindenbergh, R.

Lindenbergh, R.C.[Roderik C.] * 2009: Skeltre: Fast Skeletonisation For Imperfect Point Cloud Data of Botanic Trees
* 2015: Automated Large Scale Parameter Extraction of Road-Side Trees Sampled by a Laser Mobile Mapping System
* 2019: Automatic Detection of Road Edges From Aerial Laser Scanning Data
* 2019: Fully Convolutional Networks for Street Furniture Identification In Panorama Images
* 2019: Improved Coherent Point Drift Method for TLS Point Cloud Registration of Complex Scenes, An
* 2019: Mobile Laser Scan Data for Road Surface Damage Detection
* 2020: Building outline extraction from ALS point clouds using medial axis transform descriptors
* 2020: Framework to Extract Structural Elements of Construction Site From Laser Scanning, A
* 2020: Tailored Features for Semantic Segmentation with A DGCNN Using Free Training Samples of A Colored Airborne Point Cloud
* 2021: Airborne Laser Scanning Point Cloud Classification Using the DGCNN Deep Learning Method
* 2021: Efficient Deep Learning Approach for Ground Point Filtering In Aerial Laser Scanning Point Clouds, An
* 2021: Investigation of Pointnet for Semantic Segmentation of Large-scale Outdoor Point Clouds
* 2021: Road Type Classification of Mls Point Clouds Using Deep Learning
Includes: Lindenbergh, R.C.[Roderik C.] Lindenbergh, R.C.
13 for Lindenbergh, R.C.

Lindenmayer, A. * 1982: Cell Division Patterns: Syntactical Descriptions and Implementation

Lindenschmidt, K.E.[Karl Erich] * 2015: Monitoring the Variation in Ice-Cover Characteristics of the Slave River, Canada Using RADARSAT-2 Data: A Case Study
* 2019: Radar Scatter Decomposition to Differentiate between Running Ice Accumulations and Intact Ice Covers along Rivers
* 2023: Bias-Corrected RADARSAT-2 Soil Moisture Dynamics Reveal Discharge Hysteresis at An Agricultural Watershed
* 2023: Bias-Corrected RADARSAT-2 Soil Moisture Dynamics Reveal Discharge Hysteresis at An Agricultural Watershed
Includes: Lindenschmidt, K.E.[Karl Erich] Lindenschmidt, K.E.[Karl-Erich]

Lindenthal, S.M.[Steffen Michael] * 2011: Airborne Lidar: A Fully-Automated Self-Calibration Procedure

Lindeque, P.K.[Penelope K.] * 2019: Measuring Marine Plastic Debris from Space: Initial Assessment of Observation Requirements

Linder, T. * 1993: Fast nearest-neighbor search in dissimilarity spaces
* 1994: Nonparametric classification using radial basis function nets and empirical risk minimization
* 1996: Radial Basis Function Networks and Nonparametric Classification: Complexity Regularization and the Rates of Convergence
* 2000: Learning and Design of Principal Curves
* 2013: Efficient Transmission and Rendering of RGB-D Views
* 2013: On some convergence properties of the subspace constrained mean shift
* 2020: Metric-Scale Truncation-Robust Heatmaps for 3D Human Pose Estimation
Includes: Linder, T. Linder, T.[Tamas] Linder, T.[Thorsten] Linder, T.[Tamás]
7 for Linder, T.

Linderhed, A. * 2005: Compression by Image Empirical Mode Decomposition

Linderman, G.C. * 2015: 3-D Stent Detection in Intravascular OCT Using a Bayesian Network and Graph Search

Linderman, M. * 2006: Time Series of Remote Sensing Data for Land Change Science
* 2018: Exploring the Sensitivity of Sampling Density in Digital Mapping of Soil Organic Carbon and Its Application in Soil Sampling
* 2019: Exploring the Influence of Spatial Resolution on the Digital Mapping of Soil Organic Carbon by Airborne Hyperspectral VNIR Imaging
* 2020: Seasonal Cycles of Phytoplankton Expressed by Sine Equations Using the Daily Climatology from Satellite-Retrieved Chlorophyll-a Concentration (1997-2019) Over Global Ocean
* 2022: On the Potential of Flaming Hotspot Detection at Night via Multiband Visible/Near-Infrared Imaging
Includes: Linderman, M. Linderman, M.[Marc]

Linderman, R.[Randolph] * 2023: Mixture Outlier Exposure: Towards Out-of-Distribution Detection in Fine-grained Environments

Linderman, R.W. * 2006: Application Development Framework for the Rapid Integration of High Performance Image Processing Algorithms
* 2007: Imagery Pattern Recognition and Pub/Sub Information Management
* 2008: Fault tolerant integrated information management support for physically constrained iterative deconvolution

Lindermayr, J.[Jochen] * 2019: Towards Automated Order Picking Robots for Warehouses and Retail

Linderoth, M.[Magnus] * 2013: Color-based detection robust to varying illumination spectrum

Lindfors, A. * 2013: New Light-Weight Stereosopic Spectrometric Airborne Imaging Technology for High-Resolution Environmental Remote Sensing: Case Studies in Water Quality Mapping

Lindfors, A.V.[Anders V.] * 2015: Validation of CM SAF Surface Solar Radiation Datasets over Finland and Sweden
* 2018: Validation of the SARAH-E Satellite-Based Surface Solar Radiation Estimates over India
* 2020: On the Land-Sea Contrast in the Surface Solar Radiation (SSR) in the Baltic Region

Lindfors, K.K. * 2006: Observer Efficiency in Discrimination Tasks Simulating Malignant and Benign Breast Lesions Imaged With Ultrasound

Lindgren, A.G. * 1981: Sampling the 2-D Radon transform

Lindgren, F.[Finn] * 2001: Stochastic Surface Modelling System, A
* 2009: Evaluation of Cardiac Ultrasound Data by Bayesian Probability Maps

Lindgren, J.T. * 2004: Learning high-level independent components of images through a spectral representation
* 2006: Online Learning of Discriminative Patterns from Unlimited Sequences of Candidates
* 2007: Statistical Properties of Local Log-Contrast in Natural Images, The
Includes: Lindgren, J.T. Lindgren, J.T.[Jussi T.]

Lindgren, K.[Kyle] * 2020: Unsupervised Deep Visual-Inertial Odometry with Online Error Correction for RGB-D Imagery

Lindgren, N.[Nils] * 2015: Using Optical Satellite Data and Airborne Lidar Data for a Nationwide Sampling Survey
* 2018: Assessing Error Correlations in Remote Sensing-Based Estimates of Forest Attributes for Improved Composite Estimation
* 2022: Importance of Calibration for Improving the Efficiency of Data Assimilation for Predicting Forest Characteristics

Lindgren, P.[Prajna] * 2019: Object-Based Classification Method to Detect Methane Ebullition Bubbles in Early Winter Lake Ice, An

Lindgren, R. * 2017: Gestural Interactions of Embodied Educational Technology Using One-Shot Machine Learning

Lindgren, S.[Stefan] * 2016: Capturing Our Cultural Intangible Textile Heritage, MoCap and Craft Technology

Lindgren, T. * 2008: Multistatic GNSS Synthetic Aperture Radar for Surface Characterization, A

Lindh, J. * 2017: Making Likelihood Ratios Digestible for Cross-Application Performance Assessment

Lindh, P. * 1996: Efficient Spatio-Temporal Decomposition for Perceptual Processing of Video Sequences

Lindh, T. * 2005: Toward Automatic Motor Condition Diagnosis

Lindholm, M.[Mikko] * 2003: Review Of Fingerprint Image Enhancement Methods, A
* 2006: Soft biometrics: Combining body weight and fat measurements with fingerprint biometrics
* 2014: Shopper Behaviour Analysis Based on 3D Situation Awareness Information

Lindino, M.[Matheus] * 2022: Low-Complexity Multi-Type Tree Partitioning for Versatile Video Coding Based on Machine Learning

Lindlar, M.[Michelle] * 2016: Enrichment and Preservation of Architectural Knowledge

Lindley, A.[Andrew] * 2019: Large Scale Audio-Visual Video Analytics Platform for Forensic Investigations of Terroristic Attacks

Lindley, C.A. * 1991: Practical Image Processing in C
* 2013: novel plane extraction approach using supervised learning, A
Includes: Lindley, C.A. Lindley, C.A.[Craig A.]

Lindner, A.[Albrecht] * 2009: Training for Task Specific Keypoint Detection
* 2012: How is the weather: Automatic inference from images
* 2014: Semantic Awareness for Automatic Image Interpretation
* 2015: Semantic-Improved Color Imaging Applications: It Is All About Context

Lindner, C.[Claudia] * 2012: Robust and Accurate Shape Model Fitting Using Random Forest Regression Voting
* 2013: Fully Automatic Segmentation of the Proximal Femur Using Random Forest Regression Voting
* 2015: Robust and Accurate Shape Model Matching Using Random Forest Regression-Voting
* 2022: Development of an App and Teaching Concept for Implementation of Hyperspectral Remote Sensing Data into School Lessons Using Augmented Reality
Includes: Lindner, C.[Claudia] Lindner, C.

Lindner, F. * 1998: Autonomous Driving Goes Downtown
* 2004: Robust recognition of traffic signals
* 2012: Confidence Measurements for Adaptive Bayes Decision Classifier Cascades and Their Application to Us Speed Limit Detection
Includes: Lindner, F. Lindner, F.[Frank]

Lindner, J.R. * 2005: Molecular and Cellular Imaging with Targeted Contrast Ultrasound
* 2006: Anatomy and Flow in Normal and Ischemic Microvasculature Based on a Novel Temporal Fractal Dimension Analysis Algorithm Using Contrast Enhanced Ultrasound

Lindner, L.[Lydia] * 2023: Lightweight Video Denoising using Aggregated Shifted Window Attention

Lindner, M.[Marvin] * 2006: Lateral and Depth Calibration of PMD-Distance Sensors
* 2008: New insights into the calibration of ToF-sensors
* 2010: Time-of-Flight sensor calibration for accurate range sensing
* 2011: TerraSAR-X and RapidEye data for the parameterisation of relational characteristics of urban ATKIS DLM objects
* 2012: Discrete Chain Graph Model for 3d+t Cell Tracking with High Misdetection Robustness, A
Includes: Lindner, M.[Marvin] Lindner, M. Lindner, M.[Martin]

Lindner, S.[Steve] * 2017: Evaluation of a Phenology-Dependent Response Method for Estimating Leaf Area Index of Rice Across Climate Gradients

Lindorfer, M. * 2018: Modeling the Imperfect Driver: Incorporating Human Factors in a Microscopic Traffic Model

Lindoso, A.[Almudena] * 2007: Correlation-Based Fingerprint Matching with Orientation Field Alignment
* 2007: High performance FPGA-based image correlation
* 2007: Wavelet-Based Fingerprint Region Selection

Lindquist, D.[Dag] * 2002: Moire Interfermoter with overlapping illumination and imaging systems
* 2021: Image Registration Framework to Estimate 3D Myocardial Strains from Cine Cardiac MRI in Mice, An
Includes: Lindquist, D.[Dag] Lindquist, D.[Diana]

Lindquist, E.[Erik] * 2011: Pre-processing of a sample of multi-scene and multi-date Landsat imagery used to monitor forest cover changes over the tropics
* 2019: Participatory mapping of forest plantations with Open Foris and Google Earth Engine
Includes: Lindquist, E.[Erik] Lindquist, E.

Lindquist, E.J.[Erik J.] * 2016: Assessing Global Forest Land-Use Change by Object-Based Image Analysis

Lindquist, M.[Martin] * 2017: M-estimator for reduced-rank system identification, An

Lindquist, M.A.[Martin A.] * 2003: Optimal data acquisition in fMRI using prolate spheroidal wave functions
* 2006: Generalization of the Two-Dimensional Prolate Spheroidal Wave Function Method for Nonrectilinear MRI Data Acquisition Methods, A
* 2010: benefits of rapid 3D fMRI, The
* 2018: Connectivity in fMRI: Blind Spots and Breakthroughs
Includes: Lindquist, M.A.[Martin A.] Lindquist, M.A.

Lindquist, W.B.[W. Brent] * 1999: Image Thresholding by Indicator Kriging

Lindqvist, F. * 2011: Frequency Domain Echo Canceller for DMT-Based Systems
* 2012: Frequency Domain Echo Canceller for DMT-Based Systems

Lindqvist, H.[Hannakaisa] * 2019: Accelerated MCMC for Satellite-Based Measurements of Atmospheric CO2
* 2019: Evaluation and Analysis of the Seasonal Cycle and Variability of the Trend from GOSAT Methane Retrievals
* 2020: Vertical Distribution of Arctic Methane in 2009-2018 Using Ground-Based Remote Sensing
* 2021: Monitoring Greenhouse Gases from Space
* 2021: Towards Robust Calculation of Interannual CO2 Growth Signal from TCCON (Total Carbon Column Observing Network)
* 2023: CH4 Fluxes Derived from Assimilation of TROPOMI XCH4 in CarbonTracker Europe-CH4: Evaluation of Seasonality and Spatial Distribution in the Northern High Latitudes

Lindqvist, L.[Lars] * 2022: Depth Contrast: Self-supervised Pretraining on 3dpm Images for Mining Material Classification

Lindroos, O.[Ola] * 2013: Enhanced Algorithms for Estimating Tree Trunk Diameter Using 2D Laser Scanner

Lindroos, P.[Paul] * 2010: Impact of downsampling ratio in mixed-resolution stereoscopic video
* 2010: Subjective study on compressed asymmetric stereoscopic video

Lindroos, T. * 2008: Brightness Measurements and Calibration With Airborne and Terrestrial Laser Scanners

Lindsay, A. * 2001: Overview of MPEG-7 audio

Lindsay, A.T.[Adam T.] * 2000: Representation and linking mechanisms for audio in MPEG-7
* 2003: utility of MPEG-7 systems in audio-visual applications with multiple streams, The
Includes: Lindsay, A.T.[Adam T.] Lindsay, A.T.

Lindsay, C.[Clifford] * 2006: Physically-Based Real-Time Diffraction Using Spherical Harmonics
* 2008: Adaptive CPU Scheduling to Conserve Energy in Real-Time Mobile Graphics Applications
* 2008: Quick 3D-to-2D Points Matching Based on the Perspective Projection, A
* 2014: 3D Previsualization Using a Computational Photography Camera
* 2014: Automatic Multi-light White Balance Using Illumination Gradients and Color Space Projection
* 2015: Deriving Snow Cover Metrics for Alaska from MODIS
Includes: Lindsay, C.[Clifford] Lindsay, C.[Chuck]

Lindsay, E.[Emily] * 2021: Assessment of Landsat Based Deep-Learning Membership Analysis for Development of from-to Change Time Series in the Prairie Region of Canada from 1984 to 2018
* 2022: Differentiation of Six Grassland/Forage Types in Three Canadian Ecoregions Based on Spectral Characteristics
* 2022: Multi-Temporal Satellite Image Composites in Google Earth Engine for Improved Landslide Visibility: A Case Study of a Glacial Landscape
* 2023: Globally vs. Locally Trained Machine Learning Models for Landslide Detection: A Case Study of a Glacial Landscape
Includes: Lindsay, E.[Emily] Lindsay, E.[Erin]

Lindsay, I.A.B. * 2006: Re-scalable V-BLAST MIMO system for FPGA

Lindsay, J.[John] * 2021: Sensitivity of C-Band SAR Polarimetric Variables to the Directionality of Surface Roughness Parameters
* 2021: Within-Field Yield Prediction in Cereal Crops Using LiDAR-Derived Topographic Attributes with Geographically Weighted Regression Models

Lindsay, J.B.[John B.] * 2005: Sensitivity of Digital Landscapes to Artifact Depressions in Remotely-Sensed DEMs
* 2019: Analysis of Ground-Point Classifiers for Terrestrial LiDAR, An
* 2019: Drainage Network Analysis and Structuring of Topologically Noisy Vector Stream Data
* 2019: LiDAR DEM Smoothing and the Preservation of Drainage Features
* 2021: Automated Mapping of Transportation Embankments in Fine-Resolution LiDAR DEMs

Lindschinger, M.[Meinrad] * 2015: MANGO: Mobile Augmented Reality with Functional Eating Guidance and Food Awareness

Lindsell, J.A.[Jeremy A.] * 2014: Above ground biomass estimation in an African tropical forest with lidar and hyperspectral data
* 2015: Airborne LiDAR Detects Selectively Logged Tropical Forest Even in an Advanced Stage of Recovery
* 2019: Accurate Measurement of Tropical Forest Canopy Heights and Aboveground Carbon Using Structure From Motion

Lindseth, F. * 2013: Model-Based Correction of Velocity Measurements in Navigated 3-D Ultrasound Imaging During Neurosurgical Interventions
* 2015: Real-time gradient vector flow on GPUs using OpenCL
* 2016: Multigrid gradient vector flow computation on the GPU
* 2016: Real-Time Automatic Artery Segmentation, Reconstruction and Registration for Ultrasound-Guided Regional Anaesthesia of the Femoral Nerve
* 2016: Standardized Evaluation System for Left Ventricular Segmentation Algorithms in 3D Echocardiography
* 2019: Color Calibration on Human Skin Images
* 2020: Image Inpainting with Learnable Feature Imputation
* 2023: DeepPrivacy2: Towards Realistic Full-Body Anonymization
* 2023: Does Image Anonymization Impact Computer Vision Training?
* 2023: Realistic Full-Body Anonymization with Surface-Guided GANs
* 2023: SIT-SR 3D: Self-supervised slice interpolation via transfer learning for 3D volume super-resolution
* 2024: Synthesizing Anyone, Anywhere, in Any Pose
Includes: Lindseth, F. Lindseth, F.[Frank]
12 for Lindseth, F.

Lindsey, C.S.[Clark S.] * 2000: Image classification using the frequencies of simple features

Lindsey, D.[Dan] * 2016: User Validation of VIIRS Satellite Imagery
* 2018: Contributions of Operational Satellites in Monitoring the Catastrophic Floodwaters Due to Hurricane Harvey
* 2018: From Photons to Pixels: Processing Data from the Advanced Baseline Imager
* 2022: downscaling model for derivation of 3-D flood products from VIIRS imagery and SRTM/DEM, A

Lindsey, D.T.[Delwin T.] * 2012: Color Vision: Introduction
* 2014: Color vision: Introduction by the feature editors
* 2016: Color vision: introduction by the feature editors 2016
* 2020: Mapping, Monitoring, and Prediction of Floods Due to Ice Jam and Snowmelt with Operational Weather Satellites
* 2022: High Resolution 3D Mapping of Hurricane Flooding from Moderate-Resolution Operational Satellites
Includes: Lindsey, D.T.[Delwin T.] Lindsey, D.T.[Daniel T.]

Lindsey, E.O.[Eric O.] * 2020: Pathway to the Automated Global Assessment of Water Level in Reservoirs with Synthetic Aperture Radar (SAR), A

Lindsey, P.J. * 1993: Trinocular Active Range-Sensing
* 1994: Real-time tracking of surfaces with structured light
* 1995: Real-time tracking of surfaces with structured light
Includes: Lindsey, P.J. Lindsey, P.J.[Peter J.]

Lindsey, R.[Regan] * 2021: Temporal Vegetation Indices and Plant Height from Remotely Sensed Imagery Can Predict Grain Yield and Flowering Time Breeding Value in Maize via Machine Learning Regression

Lindshield, S.M. * 2020: Animal Localization in Camera-Trap Images with Complex Backgrounds

Lindsley, R.D. * 2016: Analysis and Validation of High-Resolution Wind From ASCAT
* 2016: Enhanced-Resolution Reconstruction of ASCAT Backscatter Measurements
* 2016: Parameterized ASCAT Measurement Spatial Response Function, A
* 2021: Evaluating the Detection of Mesoscale Outflow Boundaries Using Scatterometer Winds at Different Spatial Resolutions
Includes: Lindsley, R.D. Lindsley, R.D.[Richard D.]

Lindstaedt, M. * 2008: Integration of 3D Data, Texture and Archaeological Information in a Database Management System for Petroglyph Documentation and Interpretation
* 2008: Preserve the Past for the Future: Terrestrial Laser Scanning for the Documentation and Deformation Analysis of Easter Island's Moai
* 2009: Methods for Geometric Accuracy Investigations of Terrestrial Laser Scanning Systems
* 2009: Preserve the Past for the Future: Terrestrial Laser Scanning for the Documentation and Deformation Analysis of Easter Island's Moai
* 2011: Virtual Reconstruction of the Almaqah Temple of Yeha in Ethiopia by Terrestrial Laser Scanning
* 2012: Automatic 3D Object Reconstruction from Multiple Images for Architectural, Cultural Heritage and Archaeological Applications Using Open-Source Software and Web Services
* 2014: Architectural Historical 4D Documentation of the Old-Segeberg Town House by Photogrammetry, Terrestrial Laser Scanning and Historical Analysis
* 2015: 3D Recording, Modelling and Visualisation of the Fortification Kristiansten in Trondheim (Norway) by Photogrammetric Methods and Terrestrial Laser Scanning In the Framework of Erasmus Programmes
* 2016: Comparative Geometrical Investigations Of Hand-held Scanning Systems
* 2016: Investigations of Low-Cost Systems for 3D Reconstruction of Small Objects
* 2016: Investigations of the Geometrical Accuracy of Handheld 3D Scanning Systems
* 2017: Return of the Siegesburg: 3d-reconstruction of A Disappeared And Forgotten Monument, The
* 2018: Virtual Reality for Cultural Heritage Monuments: From 3D Data Recording to Immersive Visualisation
* 2019: Evaluating The Effect of Using Mirrors in 3d Reconstruction of Small Artefacts
* 2019: Investigations Into The Quality of Image-based Point Clouds From UAV Imagery
Includes: Lindstaedt, M. Lindstaedt, M.[Maren]
15 for Lindstaedt, M.

Lindstroem, R.[Rene] * 2017: Semi-automatic Method for Intervertebral Kinematics Measurement in the Cervical Spine

Lindstrom, C.[Carl] * 2023: Zenseact Open Dataset: A large-scale and diverse multimodal dataset for autonomous driving
Includes: Lindstrom, C.[Carl] Lindström, C.[Carl] (Maybe also Lindstroem, C.)

Lindstrom, J. * 2017: Neural Ctrl-F: Segmentation-Free Query-by-String Word Spotting in Handwritten Manuscript Collections
Includes: Lindstrom, J. Lindström, J. (Maybe also Lindstroem, J.)

Lindstrom, K.[Konstantin] * 2017: On robust optical flow estimation on image sequences with differently exposed frames using primal-dual optimization
Includes: Lindstrom, K.[Konstantin] Lindström, K.[Konstantin] (Maybe also Lindstroem, K.)

Lindstrom, P. * 1999: Euclidean Reconstruction and Calibration from Known Placements of Uncalibrated and Uncorrelated Cameras
* 2010: Triangulation made easy
* 2017: Two-dimensional shape retrieval using the distribution of extrema of Laplacian eigenfunctions
Includes: Lindstrom, P. Lindström, P. (Maybe also Lindstroem, P.)Lindstrom, P.[Peter]

Lindstrot, R. * 2012: Impact of Subscale Inhomogeneity on Oxygen A Band Cloud-Top Pressure Estimates: Using ESA's MERIS as a Proxy for DSCOVR-EPIC, The

Index for "l"