Craw, I.
* 1987: Automatic Extraction of Face Features
* 1990: knowledge based system for measuring faces, A
* 1991: Finding Image Features Using Deformable Templates and Detailed Prior Statistical Knowledge
* 1991: Parameterising Images for Recognition and Reconstruction
* 1991: Synthetic Images of Faces: An Approach to Model-Based Face Recognition
* 1992: Blink Rate Monitoring for a Driver Awareness System
* 1992: Face Recognition by Computer
* 1992: Finding Face Features
* 1993: Testing Face Recognition Systems
* 1994: Human Eye Location for Quantifying Eye Muscle Palsy
* 1994: Testing Face Recognition Systems
* 1995: Tracking and Measuring Drivers Eyes
* 1996: Automatic Face Recognition: What Representation?
* 1996: Manifold caricatures: on the psychological consistency of computer face recognition
* 1996: Tracking and Measuring Drivers Eyes
* 1999: How Should We Represent Faces for Automatic Recognition?
* 2001: SOM Based Approach to Skin Detection with Application in Real Time Systems, A
Includes: Craw, I. Craw, I.[Ian]
17 for Craw, I.
Craw, S.[Susan]
* 2015: Learning pseudo-tags to augment sparse tagging in hybrid music recommender systems
Crawcour, S.C.
* 2013: Transsituational Individual-Specific Biopsychological Classification of Emotions
Crawfis, R.[Roger]
* 2010: Distance Field Illumination: A Rendering Method to Aid in Navigation of Virtual Environments
* 2010: Indirect Shader Domain Rendering
* 2010: Prismfields: A Framework for Interactive Modeling of Three Dimensional Caves
Crawford, A.[Andrew]
* 2012: Measuring noise correlation for improved video denoising
Crawford, A.J.
* 2004: Gradient based dominant motion estimation with integral projections for real time video stabilisation
* 2007: Digital Removal of Blotches with Variable Semi-transparency Using Visibility Laws
* 2007: Multi-Scale Semi-Transparent Blotch Removal on Archived Photographs using Bayesian Matting Techniques and Visibility Laws
* 2013: Semi-transparent blotches removal from sepia images exploiting visibility laws
* 2018: Surveying Drifting Icebergs and Ice Islands: Deterioration Detection and Mass Estimation with Aerial Photogrammetry and Laser Scanning
Includes: Crawford, A.J. Crawford, A.J.[Andrew J.] Crawford, A.J.[Anna J.]
Crawford, B.[Broderick]
* 2007: Decomposition Approach to Solve Dial-a-Ride Problems Using Ant Computing and Constraint Programming
Crawford, C.[Chris]
* 2022: ASL Trigger Recognition in Mixed Activity/Signing Sequences for RF Sensor-Based User Interfaces
Crawford, C.J.[Christopher J.]
* 2022: Landsat 9 Cross Calibration Under-Fly of Landsat 8: Planning, and Execution
Crawford, C.R.
* 1996: Correction of computed tomography motion artifacts using pixel-specific back-projection
* 1996: Moving beam helical CT scanning
* 1996: Respiratory compensation in projection imaging using a magnification and displacement model
* 2008: Variable Pitch Reconstruction Using John's Equation
Crawford, C.S.
* 2020: Brain-Computer Interface Software: A Review and Discussion
Crawford, D.[Doug]
* 2022: Spatial and Temporal Biomass and Growth for Grain Crops Using NDVI Time Series
Crawford, F.[Fronefield]
* 2019: Characterization of Electromagnetic Properties of In Situ Soils for the Design of Landmine Detection Sensors: Application in Donbass, Ukraine
* 2020: Measurement of Coordinates for a Cylindrical Target Using Times of Flight from a 1-Transmitter and 4-Receiver UWB Antenna System
* 2022: Implementation of an Artificial Intelligence Approach to GPR Systems for Landmine Detection
Includes: Crawford, F.[Fronefield] Crawford, F.
Crawford, G.F.
* 1975: Forming Models of Plane-and-Cylinder Faced Bodies from Light Stripes
Crawford, J.L.
* 1984: Print Quality Measurements for High-Speed Electrophotographic Printers
Crawford, M.[Mark]
* 2011: Facial recognition progress report
* 2012: Point-to-plane registration of terrestrial laser scans
* 2012: Rigorous Point-to-plane Registration of Terrestrial Laser Scans
* 2016: Automated Ortho-Rectification of UAV-Based Hyperspectral Data over an Agricultural Field Using Frame RGB Imagery
* 2020: Deep Transfer Learning For Plant Center Localization
* 2021: Advancing Tassel Detection and Counting: Annotation and Algorithms
* 2021: Detection of Outliers in LiDAR Data Acquired by Multiple Platforms over Sorghum and Maize
* 2021: Field-Based Plot Extraction Using UAV RGB Images
* 2021: New Orthophoto Generation Strategies from UAV and Ground Remote Sensing Platforms for High-Throughput Phenotyping
Includes: Crawford, M.[Mark] Crawford, M.[Melba] Crawford, M.
9 for Crawford, M.
Crawford, M.M.
* 1994: Anisotropic diffusion pyramids for image segmentation
* 1994: Unsupervised multistage segmentation using Markov random field and maximum entropy principle
* 1999: Fusion of Airborne Polarimetric and Interferometric SAR for Classification of Coastal Environments
* 2001: Best-bases feature extraction algorithms for classification of hyperspectral data
* 2001: Fusing interferometric radar and laser altimeter data to estimate surface topography and vegetation heights
* 2001: Introduction to the special issue on analysis of hyperspectral image data
* 2001: Unsupervised Classification Using Spatial Region Growing Segmentation and Fuzzy Training
* 2002: Sensitivity analysis of a spatially adaptive estimator for data fusion
* 2005: Foreword to the Special Issue on Advances in Techniques for Analysis of Remotely Sensed Data
* 2005: Investigation of the Random Forest Framework for Classification of Hyperspectral Data
* 2005: Unsupervised Multistage Image Classification Using Hierarchical Clustering With a Bayesian Similarity Measure
* 2006: Exploiting Class Hierarchies for Knowledge Transfer in Hyperspectral Data
* 2007: Introduction for the Special Issue on Remote Sensing for Major Disaster Prevention, Monitoring, and Assessment
* 2008: Active Learning Approach to Hyperspectral Data Classification, An
* 2008: Modeling temporal variations in multipolarized radar scattering from intertidal coastal wetlands
* 2010: Adaptive Classification for Hyperspectral Image Data Using Manifold Regularization Kernel Machines
* 2010: Foreword to the Special Issue on Hyperspectral Image and Signal Processing
* 2010: Local Manifold Learning-Based k-Nearest-Neighbor for Hyperspectral Image Classification
* 2012: View Generation for Multiview Maximum Disagreement Based Active Learning for Hyperspectral Image Classification
* 2013: Active Learning: Any Value for Classification of Remotely Sensed Data?
* 2013: Feature Mining for Hyperspectral Image Classification
* 2014: Manifold-Learning-Based Feature Extraction for Classification of Hyperspectral Data: A Review of Advances in Manifold Learning
* 2015: Local-Manifold-Learning-Based Graph Construction for Semisupervised Hyperspectral Image Classification
* 2016: Active-Metric Learning for Classification of Remotely Sensed Hyperspectral Images
* 2016: Spectral and Spatial Proximity-Based Manifold Alignment for Multitemporal Hyperspectral Image Classification
* 2017: Batch-Mode Regularized Multimetric Active Learning Framework for Classification of Hyperspectral Images, A
* 2019: Centroid and Covariance Alignment-Based Domain Adaptation for Unsupervised Classification of Remote Sensing Images
* 2019: Out-of-Sample Extension to Manifold Learning via Meta-Modeling, An
* 2020: Adaptive Multiview Active Learning Approach for Spectral-Spatial Classification of Hyperspectral Images, An
* 2020: Multi-Temporal Predictive Modelling of Sorghum Biomass Using UAV-Based Hyperspectral and LiDAR Data
* 2022: Hyperspectral Indices for Predicting Nitrogen Use Efficiency in Maize Hybrids
* 2022: Landslide Risk Assessment in Eastern Kentucky, USA: Developing a Regional Scale, Limited Resource Approach
* 2022: Predicting Nitrogen Efficiencies in Mature Maize with Parametric Models Employing In-Season Hyperspectral Imaging
* 2023: Assessment of Negative Samples and Model Structures in Landslide Susceptibility Characterization Based on Bayesian Network Models, An
Includes: Crawford, M.M. Crawford, M.M.[Melba M.] Crawford, M.M.[Matthew M.]
34 for Crawford, M.M.
Crawford, P.
* 2010: RibbonView: Interactive Context-Preserving Cutaways of Anatomical Surface Meshes
* 2020: Automated Extraction of Visible Floodwater in Dense Urban Areas from RGB Aerial Photos
Includes: Crawford, P. Crawford, P.[Peter]
Crawford, R.
* 2019: Progressively-Trained Scale-Invariant and Boundary-Aware Deep Neural Network for the Automatic 3D Segmentation of Lung Lesions, A
* 2020: Multi-Year Evaluation of Doppler Lidar Wind-Profile Observations in the Arctic, A
* 2022: Design of a focused light field fundus camera for retinal imaging
Includes: Crawford, R. Crawford, R.[Robert] Crawford, R.[Ross]
Crawford, R.C.
* 1997: Transformation Invariant Distance: A New Metric for Handwritten Signature Recognition
Crawford, R.W.[Robert W.]
* 2021: Evaluation of Arctic Water Vapor Profile Observations from a Differential Absorption Lidar
Crawford, S.
* 2008: Iris Recognition and Ocular Biometrics: The Salient Features
* 2023: MMST-ViT: Climate Change-aware Crop Yield Prediction via Multi-Modal Spatial-Temporal Vision Transformer
Includes: Crawford, S. Crawford, S.[Summer]
Crawford, T.[Thomas]
* 2018: Spatial Analysis of the Relationship between Vegetation and Poverty, A
* 2018: Spatial Analysis of the Relationship between Vegetation and Poverty, A
Crawford, T.W.[Thomas W.]
* 2022: Assessment of Spatio-Temporal Empirical Forecasting Performance of Future Shoreline Positions
Crawl, D.[Daniel]
* 2023: Multimodal Wildland Fire Smoke Detection
Crawley, A.
* 1994: moving target evaluating algorithms for removing MRI motion artifacts, A
Crawley, B.J.[Barry J.]
* 1983: Line follower