Beveridge, A.[Andrew]
* 2019: Rendezvous in planar environments with obstacles and unknown initial distance
Beveridge, E.[Erin]
* 2018: Attaining Human-Level Performance with Atlas Location Autocontext for Anatomical Landmark Detection in 3D CT Data
Beveridge, J.E.
* 2015: Rigorous Geometric Self-Calibrating Bundle Adjustment for a Dual Fluoroscopic Imaging System
Beveridge, J.R.
* 1987: Searching for Geometric Structure in Images of Natural Scenes
* 1987: Searching for Geometric Structure in Images of Natural Scenes
* 1987: Segmenting Images Using Localized Histograms and Region Merging
* 1989: ISR: A Database for Symbolic Processing in Computer Vision
* 1989: ISR: A Database for Symbolic Processing in Computer Vision
* 1989: Optimization of 2-Dimensional Model Matching
* 1989: Optimization of 2-Dimensional Model Matching Under Rotation, Translation and Scale
* 1989: Segmenting Images Using Localized Histograms and Region Merging
* 1990: ISR2: User's Guide
* 1990: Model-Directed Mobile Robot Navigation
* 1990: Model-Directed Mobile Robot Navigation
* 1990: Optimization of 2-Dimensional Model Matching
* 1991: Can Too Much Perspective Spoil the View? A Case Study in 2D Affine Versus 3D Perspective Model Matching
* 1992: Can Too Much Perspective Spoil the View? A Case Study in 2D Affine Versus 3D Perspective Model Matching
* 1992: Hybrid Weak-Perspective and Full-Perspective Matching
* 1992: Image Understanding Environments Program, The
* 1992: Image Understanding Environments Program, The
* 1993: Landmark-Based Navigation and the Acquisition of Environmental Models
* 1993: Local Search Algorithms for Geometric Object Recognition: Finding the Optimal Correspondence and Pose
* 1993: Matching Perspective Views of Coplanar Structures Using Projective Unwarping and Similarity Matching
* 1993: Matching Perspective Views of Coplanar Structures Using Projective Unwarping and Similarity Matching
* 1994: Matching Perspective Views of Coplanar Structures Using Projective Unwarping and Similarity Matching
* 1994: Object to Multisensor Coregistration with Eight Degrees of Freedom
* 1994: Performance Characterization in Computer Vision: Reply
* 1994: Visualization and Verification of Automatic Target Recognition Results Using Combined Range and Optical Imagery
* 1995: Demonstrating Polynomial Run-Time Growth for Local Search Matching
* 1995: Optimal Geometric Model-Matching under Full 3D Perspective
* 1995: Test Driving Three 1995 Genetic Algorithms: New Test Functions and Geometric Matching
* 1996: Coregistering 3D Models, Range, and Optical Imagery Using Least-Median Squares Fitting
* 1996: Coregistration of Range and Optical Images Using Coplanarity and Orientation Constraints
* 1996: Interleaving 3D Model Feature Prediction and Matching to Suport Multi-Sensor Object Recognition
* 1996: Local Search as a Tool for Horizon Line Matching
* 1996: Optical Linear Feature Detection Based on Model Pose
* 1996: Progress on Target and Terrain Recognition Research at Colorado State University
* 1996: Solving Diverse Image Understanding Problems Using the Image Understanding Environment
* 1997: Comparing Random-Starts Local Search with Key-Feature Matching
* 1997: Horizon Line Matching for Orientation Correction Using a Messy Genetic Algorithm
* 1997: How Easy Is Matching 2D Line Models Using Local Search?
* 1997: Image Understanding Research at Colorado State University
* 1997: Neural Network Approach to Indexing, A
* 1997: Precise Matching of 3-D Target Models to Multisensor Data
* 1998: Multisensor Occlusion Reasoning
* 2000: Augmented Geophysical Data Interpretation Through Automated Velocity Picking in Semblance Velocity Images
* 2000: Image Comparison Techniques in the Context of Scene Refinement
* 2000: Integrating Graphics and Vision for Object Recognition
* 2000: Localized Scene Interpretation from 3D Models, Range, and Optical Data
* 2000: Pose from Color
* 2000: Searching for Objects in a Scene
* 2001: Compiling SA-C Programs to FPGAs: Performance Results
* 2001: Nonparametric Statistical Comparison of Principal Component and Linear Discriminant Subspaces for Face Recognition, A
* 2001: Parametric and nonparametric methods for the statistical evaluation of HumanID algorithms
* 2002: Augmented Geophysical Data Interpretation Through Automated Velocity Picking in Semblance Velocity Images
* 2002: Implementing image applications on FPGAs
* 2002: Two dimensional projective point matching
* 2003: Accelerated image processing on FPGAs
* 2003: CSU Face Identification Evaluation System: Its purpose, features, and structure, The
* 2003: Recognizing faces with PCA and ICA
* 2004: How features of the human face affect recognition: a statistical comparison of three face recognition algorithms
* 2004: Using a Generalized Linear Mixed Model to Study the Configuration Space of a PCA+LDA Human Face Recognition Algorithm
* 2005: CSU Face Identification Evaluation System: Its purpose, features, and structure, The
* 2005: Repeated Measures GLMM Estimation of Subject-Related and False Positive Threshold Effects on Human Face Verification Performance
* 2006: Comparison of Pixel, Edge and Wavelet Features for Face Detection using a Semi-Naive Bayesian Classifier, A
* 2007: algorithm for projective point matching in the presence of spurious points, An
* 2007: Evolution Strategies for Matching Active Appearance Models to Human Faces
* 2007: Face Detection Algorithm and Feature Performance on FRGC 2.0 Imagery
* 2007: Person Identification Using Text and Image Data
* 2007: Recognition of Digital Images of the Human Face at Ultra Low Resolution Via Illumination Spaces
* 2008: Focus on quality, predicting FRVT 2006 performance
* 2008: Grassmann Registration Manifolds for Face Recognition
* 2008: Image-set matching using a geodesic distance and cohort normalization
* 2008: Novel Appearance Model and Adaptive Condensation Algorithm for Human Face Tracking, A
* 2008: Performance characterization in computer vision: A guide to best practices
* 2009: Average of Synthetic Exact Filters
* 2009: Canonical Stiefel Quotient and its application to generic face recognition in illumination spaces
* 2009: FaceL: Facile Face Labeling
* 2009: Factors that influence algorithm performance in the Face Recognition Grand Challenge
* 2009: introduction to biometric-completeness: The equivalence of matching and quality, An
* 2009: meta-analysis of face recognition covariates, A
* 2009: Overview of the Multiple Biometrics Grand Challenge
* 2009: Pose manifold curvature is typically less near frontal face views
* 2009: Principal Angles Separate Subject Illumination Spaces in YDB and CMU-PIE
* 2009: Simple real-time human detection using a single correlation filter
* 2010: Action classification on product manifolds
* 2010: Adaptive Appearance Model and Condensation Algorithm for Robust Face Tracking
* 2010: FRVT 2006: Quo Vadis face quality
* 2010: Quantifying how lighting and focus affect face recognition performance
* 2010: Visual object tracking using adaptive correlation filters
* 2011: Automatically Searching for Optimal Parameter Settings Using a Genetic Algorithm
* 2011: introduction to the good, the bad, and the ugly face recognition challenge problem, An
* 2011: Tangent bundle for human action recognition
* 2011: When high-quality face images match poorly
* 2012: Good, the Bad, and the Ugly Face Challenge Problem, The
* 2012: Preliminary studies on the Good, the Bad, and the Ugly face recognition challenge problem
* 2014: Finding the Subspace Mean or Median to Fit Your Need
* 2014: Selectively guiding visual concept discovery
* 2014: Video alignment to a common reference
* 2015: Efficient label collection for unlabeled image datasets
* 2015: On the effectiveness of soft biometrics for increasing face verification rates
* 2015: Report on the FG 2015 Video Person Recognition Evaluation
* 2017: Predicting Face Recognition Performance in Unconstrained Environments
* 2017: Special issue on Best of Biometrics 2015
* 2018: Efficient Label Collection for Image Datasets via Hierarchical Clustering
* 2018: Gesture Recognition: Focus on the Hands
* 2019: Looking Under the Hood: Visualizing What LSTMs Learn
* 2021: End-to-end Learning Improves Static Object Geo-Localization from Video
* 2021: Pose Proposal and Refinement Network for Better 6D Object Pose Estimation, A
Includes: Beveridge, J.R. Beveridge, J.R.[J. Ross]
106 for Beveridge, J.R.
Beveridge, M.[Matthew]
* 2021: Image2Reverb: Cross-Modal Reverb Impulse Response Synthesis
* 2022: Generalizing Imaging Through Scattering Media With Uncertainty Estimates
Beveridge, R.
* 2020: Looking Ahead: Anticipating Pedestrians Crossing with Future Frames Prediction