Gresik, G.W.L.
* 2013: RECORDS: Reaching Recording Data Technologies
Gresis, V.[Valeria]
* 2024: Evaluation of Leaf Chlorophyll Content from Acousto-Optic Hyperspectral Data: A Multi-Crop Study
Gresko, S.[Simon]
* 2019: Automatic Evaluation of Speech Therapy Exercises Based on Image Data
Includes: Gresko, S.[Simon] Greško, Š.[Šimon]
Gresle, P.O.[Philippe O.]
* 1997: Gisting of Video Documents: A Key Frames Selection Algorithm Using Relative Activity Measure
Greslou, D.
* 2008: Light Aberration Effect in HR Geometric Model
* 2008: Process Line for Geometrical Image Correction of Disruptive Microvibrations
* 2008: Using Exotic Guidance for PLEIADES-HR Image Quality Calibration
* 2012: Attitude Assessment Using Pleiades-HR Capabilities
* 2012: Pleiades HR in Flight Geometrical Calibration: Location and Mapping of The Focal Plane
* 2012: Pleiades-HR Image Quality Commissioning
* 2012: Pleiades-HR Innovative Techniques For Geometric Image Quality Commissioning
* 2015: Attitude Refinement for Orbiting Pushbroom Cameras: A Simple Polynomial Fitting Method
* 2016: 2d Sub-pixel Disparity Measurement Using Qpec / Medicis
Includes: Greslou, D. Greslou, D.[Daniel]
9 for Greslou, D.
Gress, R.
* 2016: automatic 3D CT/PET segmentation framework for bone marrow proliferation assessment, An
Gressani, V.
* 2021: New Observations From the SWIM Radar On-Board CFOSAT: Instrument Validation and Ocean Wave Measurement Assessment
Gressard, A.[Alain]
* 2008: Blind deconvolution of video sequences
Gresser, K.
* 2014: Reversing the General One-Trailer System: Asymptotic Curvature Stabilization and Path Tracking
Gressin, A.[Adrien]
* 2012: Improving 3D Lidar Point Cloud Registration Using Optimal Neighborhood Knowledge
* 2012: Trajectory-based Registration of 3d Lidar Point Clouds Acquired With A Mobile Mapping System
* 2013: Semantic Approach in Image Change Detection
* 2013: Towards 3D lidar point cloud registration improvement using optimal neighborhood knowledge
* 2014: unified framework for land-cover database update and enrichment using satellite imagery, A
* 2020: About Photogrammetric UAV-mapping: Which Accuracy for Which Application?
* 2020: Airborne and Mobile Lidar, Which Sensors for Which Application?
Includes: Gressin, A.[Adrien] Gressin, A.
7 for Gressin, A.
Grest, D.[Daniel]
* 2005: Multi-camera Person Tracking in a Cluttered Interaction Environment
* 2005: Nonlinear Body Pose Estimation from Depth Images
* 2006: Monocular Body Pose Estimation by Color Histograms and Point Tracking
* 2007: Gradient-Enhanced Particle Filter for Vision-Based Motion Capture
* 2007: Human Action Recognition in Table-Top Scenarios: An HMM-Based Analysis to Optimize the Performance
* 2007: Single View Motion Tracking by Depth and Silhouette Information
* 2007: Using Hidden Markov Models for Recognizing Action Primitives in Complex Actions
* 2007: Utilizing Semantic Interpretation of Junctions for 3D-2D Pose Estimation
* 2008: Parametric Hidden Markov Models for Recognition and Synthesis of Movements
* 2009: Comparison of Iterative 2D-3D Pose Estimation Methods for Real-Time Applications, A
10 for Grest, D.
Gresta, S.[Stefano]
* 2020: Unravelling the Relationship Between Microseisms and Spatial Distribution of Sea Wave Height by Statistical and Machine Learning Approaches