Index for lich

Lich, B. * 2006: SEM/FIB stage calibration with photogrammetric methods

Lichman, S. * 2006: GestureCam: A Smart Camera for Gesture Recognition and Gesture-Controlled Web Navigation
* 2006: Prototype of Autonomous Intelligent Surveillance Cameras, A

Licho, R. * 2009: Impact on Reader Performance for Lesion-Detection/ Localization Tasks of Anatomical Priors in SPECT Reconstruction

Lichouri, M.[Mohamed] * 2019: Classification of Arabic Poems: from the 5th to the 15th Century

Lichstein, J.W.[Jeremy W.] * 2019: Quantifying Leaf Phenology of Individual Trees and Species in a Tropical Forest Using Unmanned Aerial Vehicle (UAV) Images

Licht, G.J.[Gero Jorn] * 2023: AI-Prepared Autonomous Freshwater Monitoring and Sea Ground Detection by an Autonomous Surface Vehicle
Includes: Licht, G.J.[Gero Jorn] Licht, G.J.[Gero Jörn]

Licht, M.G. * 2006: Experiences with terrestrial laserscanner modelling and accuracy assessment

Licht, S. * 2018: Formation Learning Control of Multiple Autonomous Underwater Vehicles With Heterogeneous Nonlinear Uncertain Dynamics

Lichte, O. * 2005: Adaptive Tissue Characterization Network for Model-Free Visualization of Dynamic Contrast-Enhanced Magnetic Resonance Image Data, An

Lichtenauer, J.[Jeroen] * 2008: Learning to recognize a sign from a single example
* 2009: Cost-Effective Solution to Synchronized Audio-Visual Capture Using Multiple Sensors
* 2011: Cost-effective solution to synchronised audio-visual data capture using multiple sensors
* 2011: Monocular omnidirectional head motion capture in the visible light spectrum
* 2012: Multimodal Database for Affect Recognition and Implicit Tagging, A
Includes: Lichtenauer, J.[Jeroen] Lichtenauer, J.

Lichtenauer, J.F. * 2004: Influence of the observation likelihood function on particle filtering performance in tracking applications
* 2005: Isophote Properties as Features for Object Detection
* 2007: Person-Independent 3D Sign Language Recognition
* 2007: Sign language detection using 3D visual cues
* 2008: Acceptability ratings by humans and automatic gesture recognition for variations in sign productions
* 2008: learning environment for sign language, A
* 2008: Sign Language Recognition by Combining Statistical DTW and Independent Classification
* 2015: Semi-Automatic Procedure for Texturing of Laser Scanning Point Clouds with Google Streetview Images, A
Includes: Lichtenauer, J.F. Lichtenauer, J.F.[Jeroen F.]
8 for Lichtenauer, J.F.

Lichtenauer, K.H. * 1996: Edge and keypoint detection in facial regions

Lichtenauer, M.S.[Matthias Scheller] * 2009: Classification of Paper Images to Predict Substrate Parameters Prior to Print
* 2010: Segmentation of Images of Lead Free Solder
* 2013: Image-Difference Prediction: From Grayscale to Color
Includes: Lichtenauer, M.S.[Matthias Scheller] Lichtenauer, M.S.

Lichtenberg, G.[Gunter] * 2018: In-Flight Retrieval of SCIAMACHY Instrument Spectral Response Function
* 2018: Validation of Carbon Monoxide Total Column Retrievals from SCIAMACHY Observations with NDACC/TCCON Ground-Based Measurements
* 2018: Validation of Carbon Monoxide Total Column Retrievals from SCIAMACHY Observations with NDACC/TCCON Ground-Based Measurements
Includes: Lichtenberg, G.[Gunter] Lichtenberg, G.[Günter]

Lichtenberg, N.[Nils] * 2015: Towards Automatic Assessment of the Mitral Valve Coaptation Zone from 4D Ultrasound

Lichtenberg, S.P.[Samuel P.] * 2015: SUN RGB-D: A RGB-D scene understanding benchmark suite

Lichtenberger, J.[Janos] * 2022: Testing the Robust Yield Estimation Method for Winter Wheat, Corn, Rapeseed, and Sunflower with Different Vegetation Indices and Meteorological Data
Includes: Lichtenberger, J.[Janos] Lichtenberger, J.[János]

Lichtenegger, H.L.[Hannah Luise] * 2019: Method for the Evaluation and Classification of the Orange Peel Effect on Painted Injection Moulded Part Surfaces, A

Lichtenegger, J. * 2000: Neural Networks for Oil Spill Detection Using ERS-SAR Data

Lichtenstein, M.[Moshe] * 2019: Deep Eikonal Solvers
* 2020: Tafssl: Task-adaptive Feature Sub-space Learning for Few-shot Classification

Lichtenstein, Z. * 1988: Pyramid Implementation of Optimal Step Conjugate Search Algorithms for Some Computer Vision Problems
* 1989: Pyramid Implementation of Optimal Step Conjugate Search Algorithms for Some Computer Vision Problems
* 1990: Relaxation Algorithms for the Restoration Gray Level Images Corrupted by Multiplicative Noise

Lichtensztein, L.[Leandro] * 2018: Structured Listwise Approach to Learning to Rank for Image Tagging, A

Lichter, J. * 1994: Layout Extraction of Mixed-Mode Documents

Lichter, M.[Michal] * 2015: Simulating and Communicating Outcomes in Disaster Management Situations

Lichter, P. * 2010: 3D Geometry-Based Quantification of Colocalizations in Multichannel 3D Microscopy Images of Human Soft Tissue Tumors

Lichti, D. * 2010: Static Calibration and Analysis of the Velodyne HDL-64E S2 for High Accuracy Mobile Scanning
* 2011: Comparison of Three Geometric Self-Calibration Methods for Range Cameras, A
* 2011: Evaluation Of Real-Time Hand Motion Tracking Using A Range Camera And The Mean-Shift Algorithm
* 2012: Heuristic and Voxel-Based Signature for Hand Posture Recognition Using a Range Camera
* 2014: Mapping with MAV: Experimental Study on the Contribution of Absolute and Relative Aerial Position Control
* 2019: Automatic Detection and Labelling of Photogrammetric Control Points In A Calibration Test Field
* 2020: Calibrating A Lens with A local Distortion Model
* 2020: Vehicle Tracking and Speed Estimation From Unmanned Aerial Videos
* 2020: Vision-based Approaches for Quantifying Cracks In Concrete Structures
Includes: Lichti, D. Lichti, D.[Derek]
9 for Lichti, D.

Lichti, D.D.[Derek D.] * 2005: framework for position uncertainty of unorganised three-dimensional point clouds from near-monostatic laser scanners using covariance analysis, A
* 2006: Classification and segmentation of terrestrial laserscanner point clouds using local variance Information
* 2006: Experiences with terrestrial laserscanner modelling and accuracy assessment
* 2006: Rigorous approach to bore-sight self-calibration in airborne laser scanning
* 2007: Error modelling, calibration and analysis of an AM-CW terrestrial laser scanner system
* 2007: On-Site Self-Calibration Using Planar Features for Terrestrial Laser Scanners
* 2007: Rigorous approach to bore-sight self-calibration in airborne laser scanning
* 2008: Extensive Metric Performance Evaluation of a 3D Range Camera
* 2008: ISPRS Journal of Photogrammetry and Remote Sensing theme issue Terrestrial Laser Scanning
* 2008: method for automated registration of unorganised point clouds, A
* 2008: method to test differences between additional parameter sets with a case study in terrestrial laser scanner self-calibration stability analysis, A
* 2008: Self-Calibration of a 3D Range Camera
* 2009: Closed-Form Expression of the Positional Uncertainty for 3D Point Clouds, A
* 2009: Impact of Angle Parametrisation on Terrestrial Laser Scanner Self-Calibration, The
* 2009: Object-space Simulation Method for Low-cost Digital Camera Stability Testing, An
* 2010: integrated bundle adjustment approach to range camera geometric self-calibration, An
* 2010: Modeling Scattering Distortion Of 3d Range Camera
* 2010: Self-calibration and evaluation of the Trimble GX terrestrial laser scanner
* 2010: Self-calibration Of The Trimble (mensi) Gs200 Terrestrial Laser Scanner
* 2010: Terrestrial laser scanner self-calibration: Correlation sources and their mitigation
* 2011: 3d Catenary Curve Fitting For Geometric Calibration
* 2011: Detection of Road Curb from Mobile Terrestrial Laser Scanner Point Cloud
* 2011: Parameter de-correlation and model-identification in hybrid-style terrestrial laser scanner self-calibration
* 2011: Point-Based Versus Plane-Based Self-Calibration Of Static Terrestrial Laser Scanners
* 2012: Curb-based Street Floor Extraction From Mobile Terrestrial Lidar Point Cloud
* 2012: Cylinder-based Self-calibration Of A Panoramic Terrestrial Laser Scanner
* 2012: Dynamic Concrete Beam Deformation Measuremnet With 3d Range Cameras
* 2012: Performance Analysis of A Low-cost Triangulation-based 3d Camera: Microsoft Kinect System
* 2012: Range camera self-calibration with scattering compensation
* 2012: Robust Real-time And Rotation-invariant American Sign Language Alphabet Recognition Using Range Camera
* 2013: Multi-feature based boresight self-calibration of a terrestrial mobile mapping system
* 2013: Survey Accuracy Analysis of a Hand-held Mobile LiDAR Device for Cultural Heritage Documentation
* 2014: Fast, Accurate and Easy to Implement Method for Pose Recognition of an Intramedullary Nail using a Tracked C-arm, A
* 2014: Geometric Modelling of Octagonal Lamp Poles
* 2014: Segmentation of planar surfaces in LiDAR point clouds of an electrical substation by exploring the structure of points neighbourhood
* 2015: Automatic In Situ Calibration of a Spinning Beam LiDAR System in Static and Kinematic Modes
* 2015: Automatic Object Extraction from Electrical Substation Point Clouds
* 2015: rigorous cylinder-based self-calibration approach for terrestrial laser scanners, A
* 2015: Rigorous Geometric Self-Calibrating Bundle Adjustment for a Dual Fluoroscopic Imaging System
* 2016: Toward an Automatic Calibration of Dual Fluoroscopy Imaging Systems
* 2019: Automatic Recognition of Common Structural Elements from Point Clouds for Automated Progress Monitoring and Dimensional Quality Control in Reinforced Concrete Construction
* 2019: Concrete Preliminary Damage Inspection by Classification of Terrestrial Laser Scanner Point Clouds through Systematic Threshold Definition
* 2019: Explanation for the seam line discontinuity in terrestrial laser scanner point clouds
* 2019: Investigation Into The Behaviour And Modelling of Chromatic Aberrations In Non-metric Digital Cameras
* 2019: Model-Based Design System for Terrestrial Laser Scanning Networks in Complex Sites, A
* 2020: Automatic ICP-based 2d-3d Registration Method for A High-speed Biplanar Videoradiography Imaging System, An
* 2020: Impact of the Distribution of Observations on Terrestrial Laser Scanner Self-calibration Quality, The
* 2020: Investigation of Chromatic Aberration and Its Influence on the Processing of Underwater Imagery
* 2020: Robust Self-Supervised Learning of Deterministic Errors in Single-Plane (Monoplanar) and Dual-Plane (Biplanar) X-Ray Fluoroscopy
* 2021: Automated Storey Separation and Door and Window Extraction for Building Models from Complete Laser Scans
* 2021: Correcting the Eccentricity Error of Projected Spherical Objects in Perspective Cameras
* 2021: New confocal hyperbola-based ellipse fitting with applications to estimating parameters of mechanical pipes from point clouds
* 2021: New method for first-order network design applied to TLS self-calibration networks
* 2021: Robust detection of non-overlapping ellipses from points with applications to circular target extraction in images and cylinder detection in point clouds
* 2021: Simultaneous identification, modeling and registration refinement of poles using laser scanning point clouds
* 2023: Completing point clouds using structural constraints for large-scale points absence in 3D building reconstruction
Includes: Lichti, D.D.[Derek D.] Lichti, D.D.
56 for Lichti, D.D.

Lichtman, J.[Jeff] * 2011: Segmentation fusion for connectomics
* 2020: Topological Nomenclature for 3D Shape Analysis in Connectomics, A
* 2020: Two Stream Active Query Suggestion for Active Learning in Connectomics
* 2023: Learning to Correct Sloppy Annotations in Electron Microscopy Volumes
Includes: Lichtman, J.[Jeff] Lichtman, J.

Lichtman, J.W.[Jeff W.] * 2010: Boundary Learning by Optimization with Topological Constraints
* 2012: Local tracing of curvilinear structures in volumetric color images: Application to the Brainbow analysis
* 2018: Detecting Synapse Location and Connectivity by Signed Proximity Estimation and Pruning with Deep Nets
* 2018: Guided Proofreading of Automatic Segmentations for Connectomics
* 2022: Scalable Biologically-Aware Skeleton Generation for Connectomic Volumes
Includes: Lichtman, J.W.[Jeff W.] Lichtman, J.W.

Lichtschlag, A.[Anna] * 2022: Quantifying the Intra-Habitat Variation of Seagrass Beds with Unoccupied Aerial Vehicles (UAVs)
* 2022: Using Unoccupied Aerial Vehicles (UAVs) to Map Seagrass Cover from Sentinel-2 Imagery

Lichy, D.[Daniel] * 2018: SfSNet: Learning Shape, Reflectance and Illuminance of Faces in the Wild
* 2021: Shape and Material Capture at Home
* 2022: Fast Light-Weight Near-Field Photometric Stereo
* 2022: SfSNet: Learning Shape, Reflectance and Illuminance of Faces in the Wild
* 2023: MVPSNet: Fast Generalizable Multi-view Photometric Stereo

Index for "l"


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