Hebel, M.[Marcus]
* 2007: Automatic Registration of Laser Point Clouds of Urban Areas
* 2008: Pre-classification of Points and Segmentation of Urban Objects by Scan Line Analysis of Airborne LIDAR data
* 2009: Automatic Co-Registration of Airborne Laser-scanner Data Recorded at an Urban Area with Oblique Sensor Configuration
* 2009: Utilization of 3D City Models and Airborne Laser Scanning for Terrain-based Navigation of Helicopters and UAVs
* 2011: Change Detection in Urban Areas by Direct Comparison of Multi-view and Multi-temporal ALS Data
* 2012: Simultaneous Calibration of ALS Systems and Alignment of Multiview LiDAR Scans of Urban Areas
* 2013: Change detection in urban areas by object-based analysis and on-the-fly comparison of multi-view ALS data
* 2015: Ad Hoc Model Generation Using Multiscale LIDAR Data from a Geospatial Database
* 2016: Descriptor and Voting Scheme for Fast 3D Self-Localization in Man-Made Environments, A
* 2019: Data Anonymization for Data Protection on Publicly Recorded Data
* 2020: TUM-MLS-2016: An Annotated Mobile LiDAR Dataset of the TUM City Campus for Semantic Point Cloud Interpretation in Urban Areas
* 2021: Efficient Tour Planning for a Measurement Vehicle By Combining Next Best View and Traveling Salesman
* 2021: Information Acquisition on Pedestrian Movements In Urban Traffic with A Mobile Multi-sensor System
Includes: Hebel, M.[Marcus] Hebel, M.
13 for Hebel, M.
Heber, M.[Markus]
* 2010: Pose Estimation of Known Objects by Efficient Silhouette Matching
* 2011: Catadioptric Silhouette-Based Pose Estimation from Learned Models
* 2013: Segmentation-based tracking by support fusion
Heber, S.[Stefan]
* 2012: Approximate Envelope Minimization for Curvature Regularity
* 2014: Scene Flow Estimation from Light Fields via the Preconditioned Primal-Dual Algorithm
* 2014: Shape from Light Field Meets Robust PCA
* 2015: Learning Reaction-Diffusion Models for Image Inpainting
* 2016: Convolutional Networks for Shape from Light Field
* 2016: U-shaped Networks for Shape from Light Field
* 2017: Neural EPI-Volume Networks for Shape from Light Field
7 for Heber, S.
Heberling, D.
* 2015: Digital Preclinical PET/MRI Insert and Initial Results, A
Heberling, W.[William]
* 2021: On the Projection of Polarimetric Variables Observed by a Planar Phased-Array Radar at X-Band
Hebert, C.[Christina]
* 2013: survey on ear biometrics, A
Hebert, D.[David]
* 2011: Continuous CRF with Multi-scale Quantization Feature Functions Application to Structure Extraction in Old Newspaper
* 2013: Discrete CRF Based Combination Framework for Document Image Binarization
Includes: Hebert, D.[David] Hebert, D.
Hebert, D.J.
* 1998: Fast fractal image compression with triangular multiresolution block matching
Hebert, E.A.[Edmund A.]
* 2001: Method and apparatus to determine golf ball trajectory and flight
* 2002: Method and apparatus to determine golf ball trajectory and flight
* 2002: Method and apparatus to determine golf ball trajectory and flight
* 2003: Method and apparatus to determine golf ball trajectory and flight
* 2004: Launch monitor system with a calibration fixture and a method for use thereof
* 2004: Method and apparatus to determine golf ball trajectory and flight
* 2006: Method and apparatus to determine golf ball trajectory and flight
* 2008: Launch monitor system with a calibration fixture and a method for use thereof
8 for Hebert, E.A.
Hebert, F.
* 2018: Assessment of Rigid Registration Quality Measures in Ultrasound-Guided Radiotherapy
* 2020: Phenology-Based Mapping of an Alien Invasive Species Using Time Series of Multispectral Satellite Data: A Case-Study with Glossy Buckthorn in Québec, Canada
Includes: Hebert, F. Hébert, F. Hébert, F.[Francois]
Hebert, J.F.[Jean Francois]
* 1998: New Fuzzy Geometric Representation for On-Line Isolated Character Recognition, A
* 1998: Optimizing the Cost Matrix for Approximate String Matching Using Genetic Algorithms
* 2019: Scanning Tunnels With Two Very High-resolution Laser Devices and A Stacker
Includes: Hebert, J.F.[Jean Francois] Hebert, J.F.[Jean-Francois] Hébert, J.F.[Jean-François] Hébert, J.F.
Hebert, J.S.[Jacqueline S.]
* 2021: Machine Learning for the Control of Prosthetic Arms: Using Electromyographic Signals for Improved Performance
Hebert, L.
* 2018: Towards Dense Object Tracking in a 2D Honeybee Hive
Hebert, L.J.
* 2003: Three-dimensional reconstruction of the bony structures involved in the articular complex of the human shoulder using shape-based interpolation and contour-based extrapolation
* 2004: Integrating region and edge information for the automatic segmentation of interventional magnetic resonance images of the shoulder complex
Hebert, M.
* 1982: New Method for Segmenting 3-D Scenes into Primitives, A
* 1983: 3-D Recognition and Positing Algorithm Using Geometrical Matching Between Primitive Surfaces, A
* 1983: Segmentation of Range Data into Planar and Quadratic Patches
* 1984: Object Representation, Identification, and Positioning from Range Data
* 1985: 3D-Profile Method for Object Recognition, The
* 1985: First Results on Outdoor Scene Analysis Using Range Data
* 1986: Representation, Recognition, and Locating of 3-D Objects, The
* 1986: Representation, Recognition, and Positioning of 3-D Shapes from Range Data, The
* 1987: Representation, Recognition, and Positioning of 3-D Shapes from Range Data, The
* 1987: Vision and Navigation for the Carnegie-Mellon NAVLAB
* 1988: 3-D Vision for Outdoor Navigation by an Autonomous Vehicle
* 1988: 3-D Vision Techniques for Autonomous Vehicles
* 1988: Vision and Navigation for the Carnegie-Mellon NAVLAB
* 1990: 3-D Vision Techniques for Autonomous Vehicles
* 1990: AMBLER: An Autonomous Rover for Planetary Exploration
* 1990: Task Oriented Vision
* 1991: 3D Measurements from Imaging Laser Radars: How Good Are They?
* 1991: Deformable Surfaces: A Free-Form Shape Representation
* 1991: Energy Functions for Regularization Algorithms
* 1991: Shape Representation and Image Segmentation Using Deformable Surfaces
* 1991: Task Oriented Vision
* 1992: 3-D Landmark Recognition from Range Images
* 1992: 3D Measurements from Imaging Laser Radars: How Good Are They?
* 1992: Shape Representation and Image Segmentation Using Deformable Surfaces
* 1993: Applications of Non-Metric Vision to Some Visually-Guided Robotics Tasks
* 1993: Building 3-D Models from Unregistered Range Images
* 1993: Combining Shape and Color Information for 3D Object Recognition
* 1994: Behavior-Based System for Off-Road Navigation, A
* 1994: Complete Navigation System for Goal Acquisition in Unknown Environments, A
* 1994: Deriving Orientation Cues from Stereo Images
* 1994: Object Representation for Object Recognition
* 1994: Real-Time 3D Pose Estimation Using a High-Speed Range Sensor
* 1994: Report of the NSF/ARPA Workshop on 3D Object Representation for Computer Vision
* 1994: Report on the 1994 workshop on 3-D object representations in computer vision
* 1994: Spherical Representations: from EGI to SAI
* 1994: Weakly-Calibrated Stereo Perception for Rover Navigation
* 1995: Applications of Non-Metric Vision to Some Visually-Guided Robotics Tasks
* 1995: Building 3-D Models from Unregistered Range Images
* 1995: Integral Approach to Free-Form Object Modeling, An
* 1995: Integral Approach to Free-Form Object Modeling, An
* 1995: On 3D Shape Similarity
* 1995: On 3D Shape Synthesis
* 1995: Spherical Representation for Recognition of Free-Form Surfaces, A
* 1995: Spherical Representations: from EGI to SAI
* 1995: Weakly-Calibrated Stereo Perception for Rover Navigation
* 1996: Intelligent Unmanned Ground Vehicles: Autonomous Navigation Research at Carnegie Mellon
* 1996: Multi-Scale Classification of 3D Objects
* 1996: Object Representation in Computer Vision II
* 1996: On 3D Shape Similarity
* 1996: On 3D Shape Synthesis
* 1996: On 3D Shape Synthesis
* 1996: Recognizing Objects by Matching Oriented Points
* 1996: Report on the 1996 International Workshop on Object Representation in Computer Vision
* 1997: Integral Approach to Free-Form Object Modeling, An
* 1997: Multi-Scale Classification of 3D Objects
* 1997: Recognizing Objects by Matching Oriented Points
* 1997: Recognizing Objects by Matching Oriented Points
* 1997: Surface Registration by Matching Oriented Points
* 1997: System for Semi-Automated Modelling of Complex Environments, A
* 1997: Visual Learning for Landmark Recognition
* 1998: Control of Polygonal Mesh Resolution for 3-D Computer Vision
* 1998: Efficient Multiple Model Recognition in Cluttered 3-d Scenes
* 1998: Evaluation of Image-Based Landmark Recognition Techniques
* 1998: Surface Matching for Object Recognition in Complex 3-Dimensional Scenes
* 1998: Toward a General 3-D matching Engine: Multiple Models, Complex scenes, and Efficient Data Filtering
* 1999: Efficient Recovery of Low-Dimensional Structure from High-Dimensional Data
* 1999: Evolution of a Prototype Lunar Rover: Addition of Laser-Based Hazard Detection, and Results from Field Trials in Lunar Analogue Terrain
* 1999: Experimental analysis of Harmonic Shape Images
* 1999: Harmonic Maps and their Applications in Surface Matching
* 1999: Large Data Sets and Confusing Scenes in 3-D Surface Matching and Recognition
* 1999: Using Spin Images for Efficient Object Recognition in Cluttered 3D Scenes
* 2000: 3D map reconstruction from range data
* 2000: Active and Passive Range Sensing for Robotics
* 2000: Iterative Projective Reconstruction from Multiple Views
* 2000: Omni-Directional Structure from Motion
* 2001: Building 3-D Models from Unregistered Range Images
* 2001: Color Constancy Using KL-Divergence
* 2001: Fully Automatic Registration of Multiple 3D Data Sets
* 2001: Object Recognition using Boosted Discriminants
* 2001: Provably-Convergent Iterative Methods for Projective Structure from Motion
* 2002: Combining Simple Discriminators for Object Discrimination
* 2002: Object Recognition by a Cascade of Edge Probes
* 2002: On Pencils of Tangent Planes and the Recognition of Smooth 3D Shapes from Silhouettes
* 2002: Training Object Detection Models with Weakly Labeled Data
* 2003: 3D Modeling Using a Statistical Sensor Model and Stochastic Search
* 2003: 3D Modeling Using a Statistical Sensor Model and Stochastic Search
* 2003: 3D Photography from Photographs and Video Clips
* 2003: Discriminative random fields: a discriminative framework for contextual interaction in classification
* 2003: Fully Automatic Registration of Multiple 3D Data Sets
* 2003: Man-made structure detection in natural images using a causal multiscale random field
* 2003: Minimum risk distance measure for object recognition
* 2003: observation-constrained generative approach for probabilistic classification of image regions, An
* 2003: optimal distance measure for object detection, The
* 2003: Sensor and classifier fusion for outdoor obstacle detection: An application of data fusion to autonomous off-road navigation
* 2003: Shape-Based Recognition of Wiry Objects
* 2004: Hybrid Object-Level/Pixel-Level Framework For Shape-based Recognition, A
* 2004: Linear model hashing and batch RANSAC for rapid and accurate object recognition
* 2004: Parts-based 3D object classification
* 2004: Shape-Based Recognition of Wiry Objects
* 2005: Automatic Class Selection and Prototyping for 3-D Object Classification
* 2005: Background Estimation under Rapid Gain Change in Thermal Imagery
* 2005: Comparison of Image Segmentation Algorithms, A
* 2005: Efficient Visual Event Detection Using Volumetric Features
* 2005: Exploiting Inference for Approximate Parameter Learning in Discriminative Fields: An Empirical Study
* 2005: Fast Extrinsic Calibration of a Laser Rangefinder to a Camera
* 2005: Flow-Based Approach to Vehicle Detection and Background Mosaicking in Airborne Video, A
* 2005: Flow-Based Approach to Vehicle Detection and Background Mosaicking in Airborne Video, A
* 2005: Geometric Context from a Single Image
* 2005: Hierarchical Field Framework for Unified Context-Based Classification, A
* 2005: Incorporating Background Invariance into Feature-Based Object Recognition
* 2005: Measure for Objective Evaluation of Image Segmentation Algorithms, A
* 2005: Measures of Similarity
* 2005: Scale selection for classification of point-sampled 3D surfaces
* 2005: Scale selection for classification of point-sampled 3D surfaces
* 2005: Semi-Supervised Self-Training of Object Detection Models
* 2005: Spectral Technique for Correspondence Problems Using Pairwise Constraints, A
* 2006: Automatic Three-Dimensional Point Cloud Processing for Forest Inventory
* 2006: Combining Regions and Patches for Object Class Localization
* 2006: Dataset Issues in Object Recognition
* 2006: Discriminative Random Fields
* 2006: Extracting Scale and Illuminant Invariant Regions through Color
* 2006: Learning and Predicting Moving Object Trajectory: A piecewise trajectory segment approach
* 2006: Local detection of occlusion boundaries in video
* 2006: Putting Objects in Perspective
* 2006: Rapid Object Indexing Using Locality Sensitive Hashing and Joint 3D-Signature Space Estimation
* 2006: Reflectance and transmittance model for recto-verso halftone prints
* 2006: Scale Selection for the Analysis of Point Sampled Curves: Extended Report
* 2006: Scale Selection for the Analysis of Point-Sampled Curves
* 2006: Toward Category-Level Object Recognition
* 2006: Using Spatio-Temporal Patches for Simultaneous Estimation of Edge Strength, Orientation, and Motion
* 2007: Alternative Formulation for Five Point Relative Pose Problem, An
* 2007: Background Estimation under Rapid Gain Change in Thermal Imagery
* 2007: Beyond Local Appearance: Category Recognition from Pairwise Interactions of Simple Features
* 2007: Combining Local Appearance and Motion Cues for Occlusion Boundary Detection
* 2007: Denoising Manifold and Non-Manifold Point Clouds
* 2007: Editorial: Special Issue on Vision and Robotics, Parts I and II
* 2007: Event Detection in Crowded Videos
* 2007: framework for learning to recognize and segment object classes using weakly supervised training data, A
* 2007: Learning to Find Object Boundaries Using Motion Cues
* 2007: Recovering Occlusion Boundaries from a Single Image
* 2007: Recovering Surface Layout from an Image
* 2007: Spatio-temporal Shape and Flow Correlation for Action Recognition
* 2007: Toward Objective Evaluation of Image Segmentation Algorithms
* 2008: Can similar scenes help surface layout estimation?
* 2008: Closing the loop in scene interpretation
* 2008: Discriminative Sparse Image Models for Class-Specific Edge Detection and Image Interpretation
* 2008: Fast Motion Consistency through Matrix Quantization
* 2008: Multi-scale interest regions from unorganized point clouds
* 2008: Object Recognition by Integrating Multiple Image Segmentations
* 2008: Pairwise Grouping Using Color
* 2008: Putting Objects in Perspective
* 2008: Segmentation of Salient Regions in Outdoor Scenes Using Imagery and 3-D Data
* 2008: Smoothing-based Optimization
* 2008: Statistics of 3D object locations in images
* 2008: Towards unsupervised whole-object segmentation: Combining automated matting with boundary detection
* 2008: Unsupervised modeling of object categories using link analysis techniques
* 2008: Volumetric Features for Video Event Detection
* 2009: Contextual classification with functional Max-Margin Markov Networks
* 2009: empirical study of context in object detection, An
* 2009: Estimating object region from local contour configuration
* 2009: Geometric reasoning for single image structure recovery
* 2009: Image composition for object pop-out
* 2009: Image matching in large scale indoor environment
* 2009: Local detection of occlusion boundaries in video
* 2009: Occlusion Boundaries from Motion: Low-Level Detection and Mid-Level Reasoning
* 2009: Reflectance and transmittance model for recto-verso halftone prints: spectral predictions with multi-ink halftones
* 2009: Temporal segmentation and activity classification from first-person sensing
* 2009: Trajectons: Action recognition through the motion analysis of tracked features
* 2009: Unsupervised learning for graph matching
* 2010: Analyzing halftone dot blurring by extended spectral prediction models
* 2010: Blocks World Revisited: Image Understanding Using Qualitative Geometry and Mechanics
* 2010: Making specific features less discriminative to improve point-based 3D object recognition
* 2010: Modeling the Temporal Extent of Actions
* 2010: Representing Pairwise Spatial and Temporal Relations for Action Recognition
* 2010: Stacked Hierarchical Labeling
* 2010: Volumetric Features for Video Event Detection
* 2011: Discovering object instances from scenes of Daily Living
* 2011: Feature seeding for action recognition
* 2011: From 3D scene geometry to human workspace
* 2011: Image matching with distinctive visual vocabulary
* 2011: Learning message-passing inference machines for structured prediction
* 2011: Prop-free pointing detection in dynamic cluttered environments
* 2011: Recovering Occlusion Boundaries from an Image
* 2011: Source constrained clustering
* 2011: Unsupervised Patch-based Context from Millions of Images
* 2012: Activity Forecasting
* 2012: Classifier Ensemble Recommendation
* 2012: Co-inference for Multi-modal Scene Analysis
* 2012: Connecting Missing Links: Object Discovery from Sparse Observations Using 5 Million Product Images
* 2012: Data-Driven Scene Understanding from 3D Models
* 2012: Detecting Interesting Events Using Unsupervised Density Ratio Estimation
* 2012: First-Person Vision
* 2012: How Important Are Deformable Parts in the Deformable Parts Model?
* 2012: Model recommendation for action recognition
* 2012: Object Instance Sharing by Enhanced Bounding Box Correspondence
* 2012: Object Recognition Robust to Imperfect Depth Data
* 2012: Occlusion Reasoning for Object Detection Under Arbitrary Viewpoint
* 2012: Spectral reflectance and transmittance of stacks of nonscattering films printed with halftone colors
* 2012: Spectral reflectance and transmittance prediction model for stacked transparency and paper both printed with halftone colors
* 2012: Unsupervised Learning for Graph Matching
* 2013: 3DNN: Viewpoint Invariant 3D Geometry Matching for Scene Understanding
* 2013: Coherent Occlusion Reasoning for Instance Recognition
* 2013: Data-Driven 3D Primitives for Single Image Understanding
* 2013: Style-Aware Mid-level Representation for Discovering Visual Connections in Space and Time
* 2014: Data-driven exemplar model selection
* 2014: Detailed 3D Model Driven Single View Scene Understanding
* 2014: Fast and Scalable Approximate Spectral Matching for Higher Order Graph Matching
* 2014: Motion Words for Videos
* 2014: Occlusion Reasoning for Object Detection Under Arbitrary Viewpoint
* 2014: On Image Contours of Projective Shapes
* 2014: Patch to the Future: Unsupervised Visual Prediction
* 2014: Physical querying with multi-modal sensing
* 2014: Pose Machines: Articulated Pose Estimation via Inference Machines
* 2014: Predicting Failures of Vision Systems
* 2014: Self-explanatory Sparse Representation for Image Classification
* 2014: Trinocular Geometry Revisited
* 2014: Two-flux transfer matrix model for predicting the reflectance and transmittance of duplex halftone prints
* 2014: Unfolding an Indoor Origami World
* 2015: 3DNN: 3D Nearest Neighbor
* 2015: Color and Spectral Mixings in Printed Surfaces
* 2015: Data-Driven Objectness
* 2015: Dense Optical Flow Prediction from a Static Image
* 2015: Efficient Model Evaluation with Bilinear Separation Model
* 2015: Inferring 3D layout of building facades from a single image
* 2015: Joint Image Handbook, The
* 2015: Mitigating memory requirements for random trees/ferns
* 2015: Model recommendation: Generating object detectors from few samples
* 2015: Predicting Multiple Structured Visual Interpretations
* 2015: Prediction of the spectral reflectance of laser-generated color prints by combination of an optical model and learning methods
* 2015: Single Image 3D without a Single 3D Image
* 2015: Watch and learn: Semi-supervised learning of object detectors from videos
* 2016: Consistency of Silhouettes and Their Duals
* 2016: Cross-Stitch Networks for Multi-task Learning
* 2016: Cutting through the clutter: Task-relevant features for image matching
* 2016: Dealing with small data and training blind spots in the Manhattan world
* 2016: Discriminative Framework for Anomaly Detection in Large Videos, A
* 2016: Learning to Extract Motion from Videos in Convolutional Neural Networks
* 2016: Learning to Learn: Model Regression Networks for Easy Small Sample Learning
* 2016: Shuffle and Learn: Unsupervised Learning Using Temporal Order Verification
* 2016: Trinocular Geometry Revisited
* 2016: Uncertain Future: Forecasting from Static Images Using Variational Autoencoders, An
* 2017: Characterization by Hyperspectral Imaging and Hypercolor Gamut Estimation for Structural Color Prints
* 2017: Cut, Paste and Learn: Surprisingly Easy Synthesis for Instance Detection
* 2017: Fast-Calibration Reflectance-Transmittance Model to Compute Multiview Recto-Verso Prints
* 2017: Few-Shot Hash Learning for Image Retrieval
* 2017: From Red Wine to Red Tomato: Composition with Context
* 2017: General Models for Rational Cameras and the Case of Two-Slit Projections
* 2017: Growing a Brain: Fine-Tuning by Increasing Model Capacity
* 2017: Pose Knows: Video Forecasting by Generating Pose Futures, The
* 2018: Deep Material-Aware Cross-Spectral Stereo Matching
* 2018: Interreflections in Computer Vision: A Survey and an Introduction to Spectral Infinite-Bounce Model
* 2018: Learning by Asking Questions
* 2018: Low-Shot Learning from Imaginary Data
* 2018: PCN: Point Completion Network
* 2019: Conditional Color Gamut for Color Management of Multiview Printed Images
* 2019: Coordinate-Free Carlsson-Weinshall Duality and Relative Multi-View Geometry
* 2019: Deep spectral reflectance and illuminant estimation from self-interreflections
* 2019: Direct Fitting of Gaussian Mixture Models
* 2019: Image Deformation Meta-Networks for One-Shot Learning
* 2019: Learning Compositional Representations for Few-Shot Recognition
* 2019: Measurement of the diffusion of light within paper
* 2019: Meta-Learning to Detect Rare Objects
* 2019: Multispectral Imaging for Fine-Grained Recognition of Powders on Complex Backgrounds
* 2019: Reflectance Computation for a Specular Only V-Cavity
* 2019: Structured Model for Action Detection, A
* 2020: Monitoring the Seasonal Hydrology of Alpine Wetlands in Response to Snow Cover Dynamics and Summer Climate: A Novel Approach with Sentinel-2
* 2020: PanoNet3D: Combining Semantic and Geometric Understanding for LiDAR Point Cloud Detection
* 2020: Quadtree Generating Networks: Efficient Hierarchical Scene Parsing with Sparse Convolutions
* 2020: Special Issue: Advances in Architectures and Theories for Computer Vision
* 2021: Learning to Hallucinate Examples from Extrinsic and Intrinsic Supervision
* 2021: Unlocking the Full Potential of Small Data with Diverse Supervision
* 2022: Approximate Differentiable Rendering with Algebraic Surfaces
* 2022: CMSNet: Deep Color and Monochrome Stereo
* 2022: Discovering Objects that Can Move
* 2022: Evaluating the Understandability of Light Patterns and Pictograms for Autonomous Vehicle-to-Pedestrian Communication Functions
* 2022: Learning Continuous Implicit Representation for Near-Periodic Patterns
* 2022: Linear RGB-D SLAM for Structured Environments
* 2023: Beyond RGB: Scene-Property Synthesis with Neural Radiance Fields
* 2023: Beyond the Pixel: a Photometrically Calibrated HDR Dataset for Luminance and Color Prediction
* 2023: Large-Scale Virtual Dataset and Egocentric Localization for Disaster Responses, A
* 2023: Multi-task View Synthesis with Neural Radiance Fields
* 2023: Object Discovery from Motion-Guided Tokens
Includes: Hebert, M. Hebert, M.[Martial] Hébert, M.[Mathieu] Hebert, M.[Mathieu] Hébert, M.[Marie] Hébert, M.[Marc]
282 for Hebert, M.
Hebert, P.
* 1993: Scene Reconstruction and Description: Geometric Primitive Extraction from Multiple View Scattered Data
* 1994: From 3-D Scattered Data to Geometric Signal Description: Invariant Stable Recovery of Straight Line Segments
* 1994: Surface profile description: reliable geometric primitive extraction
* 2001: self-referenced hand-held range sensor, A
* 2002: volumetric approach for interactive 3D modeling, A
* 2002: volumetric approach for the registration and integration of range images: towards interactive modeling systems, A
* 2003: 3D surface modeling from range curves
* 2003: Efficient surface reconstruction from range curves
* 2003: volumetric approach for interactive 3D modeling, A
* 2004: 3D surface modeling from curves
* 2004: Developing Assistant Tools for Geometric Camera Calibration: Assessing the Quality of Input Images
* 2004: unified representation for interactive 3D modeling, A
* 2005: Frequency-Based Approach For Efficient Plenoptic Sampling, A
* 2005: Incremental Discovery of Object Parts in Video Sequences
* 2005: Multiresolution interactive modeling with efficient visualization
* 2006: Handling Occlusions in Real-time Augmented Reality: Dealing with Movable Real and Virtual Objects
* 2006: Interactive Modeling with Automatic Online Compression
* 2006: MONNET: Monitoring Pedestrians with a Network of Loosely-Coupled Cameras
* 2007: Cable-driven Parallel Mechanism for Capturing Object Appearance from Multiple Viewpoints, A
* 2007: Efficient camera motion and 3D recovery using an inertial sensor
* 2007: Median Filtering in Constant Time
* 2007: Sampling Criterion for Optimizing a Surface Light Field, A
* 2007: Simple Operator for Very Precise Estimation of Ellipses, A
* 2008: ASN: Image Keypoint Detection from Adaptive Shape Neighborhood
* 2008: Incremental Discovery of Object Parts in Video Sequences
* 2009: Precise ellipse estimation without contour point extraction
* 2009: Robust multi-view stereo without matching
* 2009: Special issue on new advances in 3D imaging and modeling
* 2011: Shape from Silhouette Under Varying Lighting and Multi-viewpoints
* 2014: Unsupervised visual hull extraction in space, time and light domains
Includes: Hebert, P. Hébert, P.[Patrick] Hebert, P.[Patrick]
30 for Hebert, P.
Hebert, P.A.
* 2013: Constrained spectral embedding for K-way data clustering
Includes: Hebert, P.A. Hébert, P.A.
Hebert, T.J.
* 1993: Object Classification Using Half-Contour Features
* 1994: Optimized edge detection using a priori models
* 1995: Expectation-maximization algorithms, null spaces, and MAP image restoration
* 1995: sequential algorithm for motion estimation from point correspondences with intermittent occlusions, A
* 1997: Fast Iterative Segmentation of High-Resolution Medical Images
* 1998: Bayesian Pixel Classification Using Spatially Variant Finite Mixtures and the Generalized EM Algorithm