Index for star

Star Lack, J. * 2016: Digital Tomosynthesis System Geometry Analysis Using Convolution-Based Blur-and-Add (BAA) Model
Includes: Star Lack, J. Star-Lack, J.

Star, K.[Kam] * 2021: SEWA DB: A Rich Database for Audio-Visual Emotion and Sentiment Research in the Wild

Stara, L.[Lucie] * 2023: Monitoring of the Rehabilitation of the Historic World War II US Air Force Base in Greenland
Includes: Stara, L.[Lucie] Stará, L.[Lucie]

Starace, P.[Paolo] * 2021: IdroGEO: A Collaborative Web Mapping Application Based on REST API Services and Open Data on Landslides and Floods in Italy

Staranowicz, A.N.[Aaron N.] * 2013: Easy-to-Use and Accurate Calibration of RGB-D Cameras from Spheres
* 2015: Practical and accurate calibration of RGB-D cameras using spheres

Starcevic, D. * 2004: Modeling multimodal human-computer interaction
* 2013: Walking in Colors: Human Gait Recognition Using Kinect and CBIR

Starcevic, D.B.[Dusan B.] * 2000: Real-time Visualization of Brain Electrical Activity

Starch, J.L. * 2011: Data augmentation for galaxy density map reconstruction
* 2011: Inverse problems with poisson noise: Primal and primal-dual splitting

Starck, A.[Alexander] * 1994: Coding scheme and hardware structure of a high-rate digital HDTV codec with partly error-free encoding

Starck, J.[Jonathan] * 2001: Human Shape Estimation in a Multi-Camera Studio
* 2002: From 3D shape capture of animated models
* 2003: Animated statues
* 2003: Model-based multiple view reconstruction of people
* 2004: Multiple view reconstruction of people
* 2005: Spherical Matching for Temporal Correspondence of Non-Rigid Surfaces
* 2006: Volumetric stereo with silhouette and feature constraints
* 2007: Bayesian Framework for Simultaneous Matting and 3D Reconstruction, A
* 2007: Correspondence labelling for wide-timeframe free-form surface matching
* 2007: Dual-Mode Deformable Models for Free-Viewpoint Video of Sports Events
* 2007: Robust Free-Viewpoint Video System for Sport Scenes, A
* 2007: Study of Shape Similarity for Temporal Surface Sequences of People, A
* 2008: Model-based human shape reconstruction from multiple views
* 2008: Objective Quality Assessment in Free-Viewpoint Video Production
* 2009: Human motion synthesis from 3D video
* 2009: Multiple-Camera 3-D Production Studio, The
* 2009: Objective Quality Assessment in Free-Viewpoint Video Production
* 2010: Shape Similarity for 3D Video Sequences of People
* 2010: Stereo in post-production
* 2014: User Directed Multi-view-stereo
Includes: Starck, J.[Jonathan] Starck, J.
20 for Starck, J.

Starck, J.L. * 1995: Multiresolution in Astronomical Image-Processing: A General Framework
* 1995: Multiresolution Support Applied to Image Filtering and Restoration
* 1998: Image and Data Analysis: The Multiscale Approach
* 1998: Pattern Clustering Based on Noise Modeling in Wavelet Space
* 1998: Very-High-Quality Image Compression Based on Noise Modeling
* 2001: Curvelet Transform for Image Denoising, The
* 2002: Curvelet Transform for Image Denoising, The
* 2003: Deconvolution based on the curvelet transform
* 2003: Gray and color image contrast enhancement by the curvelet transform
* 2003: Quantization from Bayes factors with application to multilevel thresholding
* 2005: Analysis of the Spatial Distribution of Galaxies by Multiscale Methods
* 2005: Bayesian inference for multiband image segmentation via model-based cluster trees
* 2005: Curvelet Transform on the Sphere
* 2005: Image decomposition via the combination of sparse representations and a variational approach
* 2005: machine vision approach to the grading of crushed aggregate, A
* 2007: Morphological Component Analysis: An Adaptive Thresholding Strategy
* 2007: Multiscale Variance-Stabilizing Transform for Mixed-Poisson-Gaussian Processes and its Applications in Bioimaging
* 2007: Sparsity and Morphological Diversity in Blind Source Separation
* 2007: Undecimated Wavelet Decomposition and its Reconstruction, The
* 2008: Wavelet and curvelet moments for image classification: Application to aggregate mixture grading
* 2008: Wavelets, Ridgelets, and Curvelets for Poisson Noise Removal
* 2009: Image deconvolution by stein block thresholding
* 2009: Monotone operator splitting for optimization problems in sparse recovery
* 2009: Morphological Diversity and Sparsity for Multichannel Data Restoration
* 2009: overview of inverse problem regularization using sparsity, An
* 2009: Proximal Iteration for Deconvolving Poisson Noisy Images Using Sparse Representations, A
* 2009: Sparsity and morphological diversity for hyperspectral data analysis
* 2010: Astronomical Data Analysis and Sparsity: From Wavelets to Compressed Sensing
* 2010: Image Decomposition and Separation Using Sparse Representations: An Overview
* 2010: Learning The Morphological Diversity
* 2011: 3-D Data Denoising and Inpainting with the Low-Redundancy Fast Curvelet Transform
* 2011: Source separation in cosmology, from global to local models
* 2014: NMF with Sparse Regularizations in Transformed Domains
* 2014: Sparse blind source separation for partially correlated sources
* 2017: Joint Multichannel Deconvolution and Blind Source Separation
* 2017: Point Spread Function Field Learning Based on Optimal Transport Distances
* 2018: Wasserstein Dictionary Learning: Optimal Transport-Based Unsupervised Nonlinear Dictionary Learning
* 2020: Deep Unrolled Network for Video Super-Resolution
* 2020: Semisupervised Dictionary Learning with Graph Regularized and Active Points
* 2021: Results of the 2020 fastMRI Challenge for Machine Learning MR Image Reconstruction
* 2022: NC-PDNet: A Density-Compensated Unrolled Network for 2D and 3D Non-Cartesian MRI Reconstruction
* 2022: Stable Long-Term Recurrent Video Super-Resolution
Includes: Starck, J.L. Starck, J.L.[Jean-Luc]
42 for Starck, J.L.

Stare, B.G.[Barbara Geric] * 2021: Detection of Root-Knot Nematode Meloidogyne luci Infestation of Potato Tubers Using Hyperspectral Remote Sensing and Real-Time PCR Molecular Methods

Starek, M.[Michael] * 2022: Land Subsidence in the Texas Coastal Bend: Locations, Rates, Triggers, and Consequences
* 2022: Partial Scene Reconstruction for Close Range Photogrammetry Using Deep Learning Pipeline for Region Masking
* 2022: VirtuaLot: A Case Study on Combining UAS Imagery and Terrestrial Video with Photogrammetry and Deep Learning to Track Vehicle Movement in Parking Lots

Starek, M.J.[Michael J.] * 2007: Shoreline Based Feature Extraction and Optimal Feature Selection for Segmenting Airborne LiDAR Intensity Images
* 2012: Probabilistic Detection of Morphologic Indicators for Beach Segmentation With Multitemporal LiDAR Measurements
* 2017: Assessing Lodging Severity over an Experimental Maize (Zea mays L.) Field Using UAS Images
* 2018: Unsupervised Clustering Method for Complexity Reduction of Terrestrial Lidar Data in Marshes
* 2019: DisCountNet: Discriminating and Counting Network for Real-Time Counting and Localization of Sparse Objects in High-Resolution UAV Imagery
* 2019: Ensemble Neural Networks for Modeling DEM Error
* 2019: Unsupervised Clustering of Multi-Perspective 3D Point Cloud Data in Marshes: A Case Study
* 2020: Deep Learning-Based Single Image Super-Resolution: An Investigation for Dense Scene Reconstruction with UAS Photogrammetry
* 2020: FloodSim: Flood Simulation and Visualization Framework Using Position-Based Fluids
* 2020: Review and Evaluation of Deep Learning Architectures for Efficient Land Cover Mapping with UAS Hyper-Spatial Imagery: A Case Study Over a Wetland
* 2022: Deep Learning Based Method to Delineate the Wet/Dry Shoreline and Compute Its Elevation Using High-Resolution UAS Imagery, A
* 2023: Identification of Brush Species and Herbicide Effect Assessment in Southern Texas Using an Unoccupied Aerial System (UAS)
Includes: Starek, M.J.[Michael J.] Starek, M.J.
12 for Starek, M.J.

Starha, P.[Pavel] * 2014: Decomposition of a Bunch of Objects in Digital Images
Includes: Starha, P.[Pavel] Štarha, P.[Pavel]

Starikov, R.[Rostislav] * 2015: Measuring random sensor noise in cameras

Starikov, S.[Sergey] * 2015: Measuring random sensor noise in cameras

Staring, M. * 2003: Optimal distortion compensation for quantization watermarking
* 2006: Comparison of Acceleration Techniques for Nonrigid Medical Image Registration, A
* 2007: Evaluation of Optimization Methods for Nonrigid Medical Image Registration Using Mutual Information and B-Splines
* 2009: Adaptive Stochastic Gradient Descent Optimisation for Image Registration
* 2009: Multi-Atlas-Based Segmentation With Local Decision Fusion: Application to Cardiac and Aortic Segmentation in CT Scans
* 2009: Registration of Cervical MRI Using Multifeature Mutual Information
* 2010: elastix: A Toolbox for Intensity-Based Medical Image Registration
* 2011: Evaluation of Registration Methods on Thoracic CT: The EMPIRE10 Challenge
* 2013: Multiscale Bi-Gaussian Filter for Adjacent Curvilinear Structures Detection With Application to Vasculature Images
* 2016: Confidence Estimation for Medical Image Registration Based On Stereo Confidences
* 2016: Design of SuperElastix: A Unifying Framework for a Wide Range of Image Registration Methodologies, The
* 2016: Fast Automatic Step Size Estimation for Gradient Descent Optimization of Image Registration
* 2016: Pulmonary Fissure Detection in CT Images Using a Derivative of Stick Filter
* 2016: SimpleElastix: A User-Friendly, Multi-lingual Library for Medical Image Registration
* 2018: Evaluation of Multi-metric Registration for Online Adaptive Proton Therapy of Prostate Cancer
* 2019: Efficient Preconditioner for Stochastic Gradient Descent Optimization of Image Registration, An
* 2019: Efficient Preconditioner for Stochastic Gradient Descent Optimization of Image Registration, An
* 2019: Novel Motion Detection Method Using 3D Discrete Wavelet Transform, A
Includes: Staring, M. Staring, M.[Marius]
18 for Staring, M.

Starink, J.P.P. * 1993: Localization of Circular Objects
* 1994: Affine Point Matching
* 1995: Finding Point Correspondences Using Simulated Annealing
Includes: Starink, J.P.P. Starink, J.P.P.[J.P. Pascual]

Starita, A.[Antonina] * 2009: Expansive competitive learning for kernel vector quantization

Stark, A.[Alexander] * 2013: Drosophila Embryo Stage Annotation Using Label Propagation
* 2021: Modulation Pattern Detection Using Complex Convolutions in Deep Learning
* 2022: Recomputation and Updating of MOLA Geolocation
Includes: Stark, A.[Alexander] Stark, A.[Andrew]

Stark, C.R. * 2017: Deep Convolutional Neural Networks for Detecting Cellular Changes Due to Malignancy
* 2020: Deep Learning Based Pipeline for Efficient Oral Cancer Screening on Whole Slide Images, A
Includes: Stark, C.R. Stark, C.R.[Christina Runow]

Stark, H. * 1973: Image processing by self-generated spatial and spectral masks
* 1980: Comparative Study of Optical-Digital vs. All-Digital Techniques in Textural Pattern Recognition
* 1982: Image restoration by the method of convex projections: Part 2
* 1988: Shape estimation in computer tomography from minimal data
* 1994: Gradient-projection blind deconvolution
* 2005: Spatial processing in color reproduction
* 2006: Phase unwrapping using an extrapolation-projection algorithm
* 2006: Processing halftone color images by vector space methods
* 2018: Assessing the Impact of the Deceived Non Local Means Filter as a Preprocessing Stage in a Convolutional Neural Network Based Approach for Age Estimation Using Digital Hand X-Ray Images
Includes: Stark, H. Stark, H.[Henry]
9 for Stark, H.

Stark, J. * 2015: Required range of electric vehicles: An analysis of longitudinal mobility data

Stark, J.A. * 1996: Alternative Algorithm for Adaptive Histogram Equalization, An
* 2000: Adaptive Image Contrast Enhancement Using Generalizations of Histogram Equalization

Stark, K. * 1996: Method for Tracking the Pose of Known 3-D Objects Based on an Active Contour Model, A
* 1997: Visual Tracking of Solid Objects Based on an Active Contour Model
Includes: Stark, K. Stark, K.[Katrin]

Stark, L.[Louise] * 1988: Aspect Graphs and Nonlinear Optimization in 3-D Object Recognition
* 1988: ERRORS-2: A 3-D Object Recognition System Using Aspect Graphs
* 1989: Developing the Aspect Graph Representation for Use in Image Understanding
* 1991: Achieving Generalized Object Recognition Through Reasoning About Association of Function to Structure
* 1991: Eye Monitor: Microcomputer-Based Instrument Uses an Internal Model to Track the Eye
* 1991: Generic Recognition Through Qualitative Reasoning about 3-D Shape and Object Function
* 1992: Indexing Function-Based Categories for Generic Recognition
* 1993: Applications of Artificial Intelligence 1993: Machine Vision and Robotics
* 1993: Function-Based Generic Recognition for Multiple Object Categories
* 1993: Function-Based Recognition from Incomplete Knowledge of Object Shape
* 1993: Function-Based Recognition from Incomplete Knowledge of Shape
* 1993: Learning Combination of Evidence Functions in Object Recognition
* 1993: Methods for Combination of Evidence in Function-Based 3-D Object Recognition
* 1994: Function-Based Generic Recognition for Multiple Object Categories
* 1994: Generic Recognition of Articulated Objects by Reasoning about Functionality
* 1994: GRUFF-3: Generalizing the Domain of a Function-Based Recognition System
* 1994: Recognizing Object Function Through Reasoning About 3-D Shape and Dynamic Physical Properties
* 1995: Aspect Graphs and Their Use in Object Recognition
* 1995: Functional Context In Vision
* 1995: Functionality in Object Recognition
* 1995: Generic Recognition of Articulated Objects Through Reasoning about Potential Function
* 1995: Learning Membership Functions in a Function-Based Object Recognition System
* 1996: Generic Object Recognition Using Form and Function
* 1996: Recognizing Object Function Through Reasoning about Partial Shape Descriptions and Dynamic Physical-Properties
* 1998: Function from Visual Analysis and Physical Interaction: A Methodology for Recognition of Generic Classes of Objects
* 1998: Preface to Image Computation and Education
* 1998: Reasoning About Functionality In Object Recognition
Includes: Stark, L.[Louise] Stark, L. Stark, L.[Lawrence]
27 for Stark, L.

Stark, L.W.[Lawrence W.] * 1998: Evaluating Image Processing Algorithms that Predict Regions of Interest
* 2000: Algorithms for Defining Visual Regions-of-Interest: Comparison with Eye Fixations
* 2000: Locating regions-of-interest for the Mars Rover expedition
* 2001: Sequential Knowledge-Driven Scene Recognition Model
* 2001: Top-down guided eye movements
* 2002: comparative study of focused JPEG compression, Fjpeg, A
* 2003: Human-vision-based selection of image processing algorithms for planetary exploration
Includes: Stark, L.W.[Lawrence W.] Stark, L.W.
7 for Stark, L.W.

Stark, M.[Margaret] * 1981: focus checking technique for image analysis systems, A
* 2007: How Good are Local Features for Classes of Geometric Objects
* 2008: Functional Object Class Detection Based on Learned Affordance Cues
* 2009: Shading cues for object class detection
* 2009: shape-based object class model for knowledge transfer, A
* 2010: Back to the Future: Learning Shape Models from 3D CAD Data
* 2010: Single Channel Speech Separation Using Source-Filter Representation
* 2010: What helps where - and why? Semantic relatedness for knowledge transfer
* 2011: Evaluating knowledge transfer and zero-shot learning in a large-scale setting
* 2011: Revisiting 3D geometric models for accurate object shape and pose
* 2012: 3D2PM: 3D Deformable Part Models
* 2012: Fine-Grained Categorization for 3D Scene Understanding
* 2012: Teaching 3D geometry to deformable part models
* 2012: What Makes a Good Detector?: Structured Priors for Learning from Few Examples
* 2013: 3D Object Representations for Fine-Grained Categorization
* 2013: Detailed 3D Representations for Object Recognition and Modeling
* 2013: Explicit Occlusion Modeling for 3D Object Class Representations
* 2013: Fine-Grained Crowdsourcing for Fine-Grained Recognition
* 2013: Occlusion Patterns for Object Class Detection
* 2014: Are Cars Just 3D Boxes? Jointly Estimating the 3D Shape of Multiple Objects
* 2015: 3D object class detection in the wild
* 2015: Enriching object detection with 2D-3D registration and continuous viewpoint estimation
* 2015: Image retrieval using scene graphs
* 2015: Multi-View and 3D Deformable Part Models
* 2015: Towards Scene Understanding with Detailed 3D Object Representations
* 2016: Leveraging the Wisdom of the Crowd for Fine-Grained Recognition
* 2017: Teaching Compositionality to CNNs
Includes: Stark, M.[Margaret] Stark, M.[Michael] Stark, M.
27 for Stark, M.

Stark, N.[Nina] * 2024: Relating Geotechnical Sediment Properties and Low Frequency CHIRP Sonar Measurements

Stark, R.[Rainer] * 2016: Data Management in Collaborative Interdisciplinary Research Projects: Conclusions from the Digitalization of Research in Sustainable Manufacturing

Stark, S.C.[Scott C.] * 2019: Optimizing the Remote Detection of Tropical Rainforest Structure with Airborne Lidar: Leaf Area Profile Sensitivity to Pulse Density and Spatial Sampling
* 2023: Amazon forest spectral seasonality is consistent across sensor resolutions and driven by leaf demography

Stark, S.R. * 1996: Calibrated Imagery for Quantitative Evaluation of IU Classification, Pose-Estimation, and Stereo Algorithms
* 1997: Constraint Optimization and Feature-Based Model Construction for Reverse Engineering
Includes: Stark, S.R. Stark, S.R.[Stevan R.]

Stark, T.[Thomas] * 2019: Semantic segmentation of slums in satellite images using transfer learning on fully convolutional neural networks
* 2021: Deep Learning-Based Generation of Building Stock Data from Remote Sensing for Urban Heat Demand Modeling

Stark, W. * 2019: Interference in Automotive Radar Systems: Characteristics, mitigation techniques, and current and future research

Starka, O.[Oliver] * 2012: company Austro Control Ges.m.b.H. (ACG) is responsible for the air traffic control of the civil aviation in Austria, The

Starke, L.[Ludger] * 2024: Quantifying model uncertainty for semantic segmentation of Fluorine-19 MRI using stochastic gradient MCMC

Starke, R.[Rolf] * 2021: Central Courtyard Feature Extraction in Remote Sensing Aerial Images Using Deep Learning: A Case-Study of Iran

Starke, S.[Sebastian] * 2022: COUCH: Towards Controllable Human-Chair Interactions
* 2023: Avatars Grow Legs: Generating Smooth Human Motion from Sparse Tracking Inputs with Diffusion Model
* 2023: PhaseMP: Robust 3D Pose Estimation via Phase-conditioned Human Motion Prior
* 2024: Uncertainty Estimation in Instance Segmentation with Star-convex Shapes

Starko, S.[Samuel] * 2024: Validating Landsat Analysis Ready Data for Nearshore Sea Surface Temperature Monitoring in the Northeast Pacific

Starkova, L. * 2015: Documentation of archaeological sites in northern iraq using remote sensing methods
* 2016: Using Remotely Sensed Data For Documentation Of Archaeological Sites In Northeastern Mesopotamia
Includes: Starkova, L. Starková, L.

Starks, M.R.[Michael R.] * 1985: Stereoscopic television system

Starks, P. * 2016: Assessment of the SMAP Passive Soil Moisture Product
* 2019: Estimating leaf area index and aboveground biomass of grazing pastures using Sentinel-1, Sentinel-2 and Landsat images
Includes: Starks, P. Starks, P.[Patrick]

Starks, P.J.[Patrick J.] * 2017: Data Assimilation to Extract Soil Moisture Information from SMAP Observations
* 2019: Response of Tallgrass Prairie to Management in the U.S. Southern Great Plains: Site Descriptions, Management Practices, and Eddy Covariance Instrumentation for a Long-Term Experiment
* 2020: Improved SMAP Dual-Channel Algorithm for the Retrieval of Soil Moisture
* 2021: Comparing Evapotranspiration Products of Different Temporal and Spatial Scales in Native and Managed Prairie Pastures
* 2021: Global Soil Moisture Retrievals From the Chinese FY-3D Microwave Radiation Imager
* 2022: Dormant Season Vegetation Phenology and Eddy Fluxes in Native Tallgrass Prairies of the U.S. Southern Plains
Includes: Starks, P.J.[Patrick J.] Starks, P.J.

Starks, S.A. * 2002: Automatic referencing of multi-spectral images

Starner, T. * 2015: Hand detection in American Sign Language depth data using domain-driven random forest regression
* 2015: Order Picking with Head-Up Displays
Includes: Starner, T. Starner, T.[Thad]

Starner, T.E. * 1990: ThingWorld Modeling System, The
* 1991: Visually Controlled Graphics
* 1993: View-Based and Modular Eigenspaces for Face Recognition
* 1993: Visually Controlled Graphics
* 1994: View-Based and Modular Eigenspaces for Face Recognition
* 1995: Real-Time American Sign Language Recognition from Video Using Hidden Markov Models
* 1995: Visual Recognition of American Sign Language Using Hidden Markov Models
* 1997: Perceptive Spaces for Performance and Entertainment: Untethered Interaction Using Computer Vision and Audition
* 1997: Real-Time American Sign Language from Video Using Hidden Markov Models
* 1997: Wearable Computing Based American Sign Language Recognizer, A
* 1998: Real-Time American Sign Language Recognition Using Desk and Wearable Computer Based Video
* 1998: Real-Time American Sign Language Recognition Using Desk and Wearable Computer Based Video
* 2001: Integration of Wireless Gesture Tracking, Object Tracking, and 2D Reconstruction in the Perceptive Workbench
* 2003: Expectation Grammars: Leveraging High-Level Expectations for Activity Recognition
* 2003: perceptive workbench: Computer-vision-based gesture tracking, object tracking, and 3D reconstruction for augmented desks, The
* 2004: Recognizing Song-Based Blink Patterns: Applications for Restricted and Universal Access
* 2004: Towards a one-way American Sign Language translator
* 2006: Activity Recognition of Assembly Tasks Using Body-Worn Microphones and Accelerometers
* 2010: American Sign Language Phrase Verification in an Educational Game for Deaf Children
* 2010: novel approach to American Sign Language (ASL) phrase verification using reversed signing, A
* 2010: Recognizing Sign Language from Brain Imaging
* 2011: CopyCat: An American Sign Language game for deaf children
* 2011: MAGIC 2.0: A web tool for false positive prediction and prevention for gesture recognition systems
Includes: Starner, T.E. Starner, T.E.[Thad E.]
23 for Starner, T.E.

Starobinets, B.[Boris] * 2019: Spatial Non-Uniformity of Surface Temperature of the Dead Sea and Adjacent Land Areas
* 2021: Absence of Surface Water Temperature Trends in Lake Kinneret despite Present Atmospheric Warming: Comparisons with Dead Sea Trends
* 2021: Spatial Heterogeneity in Dead Sea Surface Temperature Associated with Inhomogeneity in Evaporation
* 2022: Cooling by Cyprus Lows of Surface and Epilimnion Water in Subtropical Lake Kinneret in Rainy Seasons
* 2023: Impact of a Severe Dust Event on Diurnal Behavior of Surface Water Temperature in Subtropical Lake Kinneret

Starobinski, D. * 2012: Phase Transition of Message Propagation Speed in Delay-Tolerant Vehicular Networks

Staroniewicz, P.[Piotr] * 2008: Polish Emotional Speech Database: Recording and Preliminary Validation

Starosolski, R.[Roman] * 2014: New simple and efficient color space transformations for lossless image compression
* 2015: Application of reversible denoising and lifting steps to DWT in lossless JPEG 2000 for improved bitrates

Starostenko, O. * 2004: Image retrieval by ontological description of shapes (IRONS), early results
* 2009: K-Medoids-Based Random Biometric Pattern for Cryptographic Key Generation
* 2012: Breaking reCAPTCHAs with Unpredictable Collapse: Heuristic Character Segmentation and Recognition
* 2015: Breaking text-based CAPTCHAs with variable word and character orientation
* 2016: Real Time Gesture Recognition with Heuristic-Based Classification
* 2017: Visual Remote Monitoring and Control System for Rod Braking on Hot Rolling Mills
Includes: Starostenko, O. Starostenko, O.[Oleg]

Starovoitov, V.V.[Valery V.] * 1993: Binary Texture Border Extraction on Line Drawings Based on Distance Transform
* 1993: Simplified technique of structure extraction from textural images
* 1995: Towards a measure of diversity between grey-scale images
* 1996: Clustering Technique Based on the Distance Transform, A
* 1997: New Approach To Low-Level Retrieving of Grey Scale Images from Image Data Base, A
* 1998: Generalized distance based matching of nonbinary images
* 1998: Texture Periodicity Detection: Features, Properties, and Comparisons
* 1999: Distance-based functions for image comparison
Includes: Starovoitov, V.V.[Valery V.] Starovoitov, V.V.
8 for Starovoitov, V.V.

Starr, C.[Casey] * 2019: Analyzing the Relationship between Perception of Safety and Reported Crime in an Urban Neighborhood Using GIS and Sketch Maps

Starr, J.[Jon] * 2020: Albedo Impacts of Changing Agricultural Practices in the United States through Space-Borne Analysis

Starr, S.M.[Scott M.] * 2016: Using Remotely Sensed Imagery to Document How Land Use Drives Turbidity of Playa Waters in Texas

Starr, T.[Thomas] * 2008: new symmetric shape from shading algorithm with an application to 3-D face reconstruction, A
* 2010: Extraction of the superficial facial vasculature, vital signs waveforms and rates using thermal imaging
Includes: Starr, T.[Thomas] Starr, T.[Tom]

Starr, T.L.[Thomas L.] * 2009: Distant face recognition based on sparse-stereo reconstruction
* 2009: Face recognition at-a-distance based on sparse-stereo reconstruction
* 2009: Framework for Long Distance Face Recognition Using Dense and Sparse Stereo Reconstruction, A
* 2010: Face Recognition at-a-Distance Using Texture, Dense- and Sparse-Stereo Reconstruction

Starreveld, Y.P. * 2003: Three-dimensional database of subcortical electrophysiology for image-guided stereotactic functional neurosurgery

Starrin, P. * 2015: Design and evaluation of a visual acclimation aid for a semi-natural locomotion device

Startchik, S. * 1996: Archival and Retrieval of Historical Watermark Images
* 1998: Projective and Illumination Invariant Representation of Disjoint Shapes
* 1998: Projective and Illumination Invariant Representation of Disjoint Shapes

Startsev, M.[Mikhail] * 2018: 360-aware saliency estimation with conventional image saliency predictors
* 2018: Increasing Video Saliency Model Generalizability by Training for Smooth Pursuit Prediction
Includes: Startsev, M.[Mikhail] Startsev, M.

Stary, C.[Christian] * 2017: Recognition of Paper-Based Conceptual Models Captured Under Uncontrolled Conditions

Starzacher, A. * 2008: Visual on-line learning in distributed camera networks
* 2010: Audio-Visual Co-Training for Vehicle Classification
* 2010: Autonomous Audio-Supported Learning of Visual Classifiers for Traffic Monitoring

Starzacher, T. * 2009: Improving Compressed Iris Recognition Accuracy Using JPEG2000 RoI Coding

Starzomski, B.M.[Brian M.] * 2015: Mountain Habitats Segmentation and Change Detection Dataset, The

Starzyk, J.A. * 2003: Iterated wavelet transformation and signal discrimination for HRR radar target recognition
* 2012: Fast Vanishing-Point Detection in Unstructured Environments

Starzyk, W. * 2011: Multi-tasking smart cameras for intelligent video surveillance systems
* 2012: Virtual Vision Simulator for Camera Networks Research, A
Includes: Starzyk, W. Starzyk, W.[Wiktor]

Starzynska Grzeundefined, M.B.[Malgorzata B.] * 2023: Computer Vision-Based Analysis of Buildings and Built Environments: A Systematic Review of Current Approaches
Includes: Starzynska Grzeundefined, M.B.[Malgorzata B.] Starzynska-Grzeundefined, M.B.[Malgorzata B.]

Index for "s"


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