Drap, P.
* 2000: digital photogrammetric workstation on the WEB, A
* 2009: Going to Shawbak (Jordan) and getting the data back: Toward a 3D GIS dedicated to medieval archaeology
* 2013: Automating the Measurement of Red Coral in Situ Using Underwater Photogrammetry and Coded Targets
* 2013: Towards a 3D Based Platform for Cultural Heritage Site Survey and Virtual Exploration
* 2013: Validating Photogrammetric Orientation Steps by the Use of Relevant Theoretical Models. Implementation in the Arpenteur Framework
* 2015: Underwater Photogrammetry Methods for a Peculiar Case-Study: San Domenico (Prato-Italy)
* 2016: Project iMARECULTURE: Advanced VR, iMmersive Serious Games and Augmented REality as Tools to Raise Awareness and Access to European Underwater CULTURal heritagE
* 2016: Purchase behavior analysis through gaze and gesture observation
* 2016: Tracking multiple persons under partial and global occlusions: Application to customers' behavior analysis
* 2017: Mine Detection Based on Adaboost and Polynomial Image Decomposition
* 2017: People's Re-identification Across Multiple Non-overlapping Cameras by Local Discriminative Patch Matching
* 2017: Surveying Medieval Archaeology: A New Form for Harris Paradigm Linking Photogrammetry and Temporal Relations
* 2017: Towards Guided Underwater Survey Using Light Visual Odometry
* 2017: Underwater Photogrammetry, Coded Target And Plenoptic Technology: A Set Of Tools for Monitoring Red Coral in Mediterranean Sea in the Framework Of the perfect Project
* 2019: Evaluation of Vision-based Localization and Mapping Techniques in A Subsea Metrology Scenario
* 2019: Ontology-based Web Tools for Retrieving Photogrammetric Cultural Heritage Models
* 2020: 3d Sequential Image Mosaicing for Underwater Navigation and Mapping
* 2021: Accurate Scaling and Levelling in Underwater Photogrammetry with A Pressure Sensor
* 2021: Portable Opto-acoustic Survey Solution for Mapping of Underwater Targets, A
* 2021: Underwater Survey for Oil and Gas Industry: A Review of Close Range Optical Methods
Includes: Drap, P. Drap, P.[Pierre]
20 for Drap, P.
Drapaca, C.S.[Corina S.]
* 2005: Segmentation of tissue boundary evolution from brain MR image sequences using multi-phase level sets
* 2006: Deformation-Based Mapping of Volume Change From Serial Brain MRI in the Presence of Local Tissue Contrast Change
* 2010: Elastography of Biological Tissue: Direct Inversion Methods That Allow for Local Shear Modulus Variations
Includes: Drapaca, C.S.[Corina S.] Drapaca, C.S.
Drapeau, L.
* 2020: Impact of Flight Altitude on Unmanned Aerial Photogrammetric Survey Of The Snow Height on Mount Lebanon
Draper, B.
* 1994: architecture for reactive behaviour, An
* 2005: Introduction to the Special Issue on Learning in Computer Vision and Pattern Recognition
* 2014: Video alignment to a common reference
Includes: Draper, B. Draper, B.[Bruce]
Draper, B.A.
* 1987: Tools and Experiments in the Knowledge-Directed Interpretation of Road Scenes
* 1987: Tools and Experiments in the Knowledge-Directed Interpretation of Road Scenes
* 1988: Image Interpretation by Distributed Cooperative Processes
* 1989: ISR: A Database for Symbolic Processing in Computer Vision
* 1989: ISR: A Database for Symbolic Processing in Computer Vision
* 1989: Schema System, The
* 1989: Schema System, The
* 1990: ISR2: User's Guide
* 1990: Learning 3D Object Recognition Strategies
* 1991: Example of Learning in Knowledge-directed Vision, An
* 1992: Learning Blackboard-Based Scheduling Algorithms for Computer Vision
* 1992: Learning Knowledge-Directed Visual Strategies
* 1993: ISR3: A Token Database for Integration of Visual Modules
* 1993: Learning Blackboard-Based Scheduling Algorithms for Computer Vision
* 1993: Learning from the Schema Learning System
* 1993: Learning Image to Symbol Conversion
* 1993: Learning Object Recognition Strategies
* 1993: Progress in Computer Vision at the University of Massachusetts
* 1993: Statistical Properties of Learning Recognition Strategies
* 1994: Architecture for Reactive Behavior, An
* 1994: Executing Reactive Behavior for Autonomous Navigation
* 1994: Executing Reactive Behavior for Autonomous Navigation
* 1994: Goal-Directed Classification Using Linear Machine Decision Trees
* 1994: ISR3: Communication and Data Storage for an Unmanned Ground Vehicle
* 1994: Non-parametric Classification of Pixels Under Varying Outdoor Illumination
* 1994: Performance Characterization in Computer Vision: Reply
* 1994: Practical Obstacle Detection and Avoidance System, A
* 1994: Progress in Computer Vision at the University of Massachusetts
* 1994: Stealth Navigation: Planning and Behaviors
* 1995: Adaptive Tracking and Model Registration Across Distinct Aspects
* 1995: Adaptive Tracking and Model Registration Across Distinct Aspects
* 1995: Non-parametric Classification of Pixels Under Varying Outdoor Illumination
* 1995: Practical Obstacle Detection and Avoidance System, A
* 1995: Stealth Navigation: Planning and Behaviors
* 1995: Trichromatic Model of Daylight Variation
* 1996: Daedalus Battlefield Visualization System
* 1996: Fast, Background-Independent Retrieval Strategy for Color Image Databases, A
* 1996: Knowledge-Directed Vision: Control, Learning, and Integration
* 1996: Learning Grouping Strategies for 2D and 3D Object Recognition
* 1996: Modelling Object Recognition as a Markov Decision Process
* 1996: Persistent Data Management for Visual Applications
* 1996: Placing Observers to Cover a Polyhedral Terrain in Polynomial Time
* 1996: Progress on Target and Terrain Recognition Research at Colorado State University
* 1996: Support Tools for Visual Information Management
* 1996: Tracking Object Motion Across Aspect Changes for Augmented Reality
* 1997: Color Recognition by Learning: ATR in Color Images
* 1997: FOCUS: Searching for Multi-Colored Objects in a Diverse Image Database
* 1997: Image Understanding Research at Colorado State University
* 1998: Bagging in Computer Vision
* 1998: Color Machine Vision for Autonomous Vehicles
* 1998: Color Recognition in Outdoor Images
* 1999: ADORE: Adaptive Object Recognition
* 1999: Sassy: A Language and Optimizing Compiler for Image Processing on Reconfigurable Computing Systems
* 2000: ADORE: Adaptive Object Recognition
* 2000: Inconsistencies in Edge Detector Evaluation
* 2000: Pose from Color
* 2000: system to place observers on a polyhedral terrain in polynomial time, A
* 2001: Adapting Object Recognition Across Domains: A Demonstration
* 2001: Compiling SA-C Programs to FPGAs: Performance Results
* 2001: Feature Selection from Huge Feature Sets
* 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: Color Models for Outdoor Machine Vision
* 2002: Factor analysis for background suppression
* 2002: Implementing image applications on FPGAs
* 2002: Interpreting LOC Cell Responses
* 2003: Accelerated image processing on FPGAs
* 2003: CSU Face Identification Evaluation System: Its purpose, features, and structure, The
* 2003: Implementing the Expert Object Recognition Pathway
* 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: Implementing the Expert Object Recognition Pathway
* 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: EM in High-Dimensional Spaces
* 2005: Evaluation of Motion in Artificial Selective Attention, An
* 2005: Evaluation of selective attention under similarity transformations
* 2005: Repeated Measures GLMM Estimation of Subject-Related and False Positive Threshold Effects on Human Face Verification Performance
* 2006: Using the Low-Resolution Properties of Correlated Images to Improve the Computational Efficiency of Eigenspace Decomposition
* 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: Image-set matching using a geodesic distance and cohort normalization
* 2008: Top down image segmentation using congealing and graph-cut
* 2009: Average of Synthetic Exact Filters
* 2009: FaceL: Facile Face Labeling
* 2009: Factors that influence algorithm performance in the Face Recognition Grand Challenge
* 2009: Interest Point Stability Prediction
* 2009: meta-analysis of face recognition covariates, A
* 2009: Overview of the Multiple Biometrics Grand Challenge
* 2009: Principal Angles Separate Subject Illumination Spaces in YDB and CMU-PIE
* 2009: Simple real-time human detection using a single correlation filter
* 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: Unsupervised learning of human expressions, gestures, and actions
* 2011: Unsupervised learning of micro-action exemplars using a Product Manifold
* 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
* 2012: Scalable action recognition with a subspace forest
* 2012: Semi-Nonnegative Matrix Factorization for Motion Segmentation with Missing Data
* 2012: Using a Product Manifold distance for unsupervised action recognition
* 2013: Are you using the right approximate nearest neighbor algorithm?
* 2014: Finding the Subspace Mean or Median to Fit Your Need
* 2014: Selectively guiding visual concept discovery
* 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
* 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
* 2019: Motion Segmentation via Generalized Curvatures
Includes: Draper, B.A. Draper, B.A.[Bruce A.]
114 for Draper, B.A.
Draper, C.
* 2014: Clarifications on the Comparison Between SMOS, VUA, ASCAT, and ECMWF Soil Moisture Products Over Four Watersheds in U.S.
* 2018: LDAS-Monde Sequential Assimilation of Satellite Derived Observations Applied to the Contiguous US: An ERA-5 Driven Reanalysis of the Land Surface Variables
Includes: Draper, C. Draper, C.[Clara]
Draper, D.[David]
* 2019: Pólya Urn Latent Dirichlet Allocation: A Doubly Sparse Massively Parallel Sampler
Draper, D.W.
* 2013: Global Precipitation Measurement Microwave Imager Prelaunch Hot Load Calibration
Draper, S.
* 2006: On Compression of Encrypted Images
* 2013: Secure Biometrics: Concepts, Authentication Architectures, and Challenges
Draper, S.C.[Stark C.]
* 2008: Feature transformation of biometric templates for secure biometric systems based on error correcting codes
Draper, S.W.[Stephen W.]
* 1981: Use of Gradient and Dual Space in Line-Drawing Interpretation, The
Drapikowski, P.
* 2002: 3D object modelling in mobile robot environment using B-spline surfaces