Budd, A.R.[Anthony R.]
* 2023: Spatial Data-Driven Approach for Mineral Prospectivity Mapping, A
Budd, C.[Chris]
* 2011: Global temporal registration of multiple non-rigid surface sequences
* 2011: Hierarchical Shape Matching for Temporally Consistent 3D Video
* 2012: Towards Optimal Non-rigid Surface Tracking
* 2013: Global Non-rigid Alignment of Surface Sequences
Includes: Budd, C.[Chris] Budd, C.
Budd, J.M.[Jeremy M.]
* 2023: Joint Reconstruction-Segmentation on Graphs
Buddappagari, S.[Sreehari]
* 2022: Radar Scheme With Raised Reflector for NLOS Vehicle Detection
Budde, A.[Adam]
* 2021: High Pitch Helical CT Reconstruction
Budde, L.E.
* 2021: Identification of Misclassified Pixels in Semantic Segmentation With Uncertainty Evaluation
Budde, M.E.[Michael E.]
* 2017: Normalized Difference Vegetation Index as an Estimator for Abundance and Quality of Avian Herbivore Forage in Arctic Alaska
Budde, R.P.J.
* 2019: Automated Quantification of Bileaflet Mechanical Heart Valve Leaflet Angles in CT Images
Buddeberg, J.[Jonas]
* 2017: Interactive shearing for terrain visualization: an expert study
Buddemeier, U.[Ulrich]
* 2009: Tour the world: Building a web-scale landmark recognition engine
Buddemeier, U.F.[Ulrich F.]
* 2004: Method and system for customizing facial feature tracking using precise landmark finding on a neutral face image
* 2005: Method and system for generating facial animation values based on a combination of visual and audio information
* 2005: Method for mapping facial animation values to head mesh positions
* 2005: Method for mapping facial animation values to head mesh positions
* 2006: Method for generating an animated three-dimensional video head
Budden, D.M.[David M.]
* 2016: Addressing the non-functional requirements of computer vision systems: a case study
Buddenbaum, H.[Henning]
* 2010: review of the combination of spectral and geometric modelling for the application in forest remote sensing, A
* 2012: Field Imaging Spectroscopy of Beech Seedlings under Dryness Stress
* 2013: PROSPECT Inversions of Leaf Laboratory Imaging Spectroscopy: A Comparison of Spectral Range and Inversion Technique Influences
* 2014: Modeling and Mapping of Soil Salinity with Reflectance Spectroscopy and Landsat Data Using Two Quantitative Methods (PLSR and MARS)
* 2014: use of imaging and non-imaging Spectroscopy for the determination of stress phenomena of beech trees, The
* 2015: Assessing the Suitability of Future Multi- and Hyperspectral Satellite Systems for Mapping the Spatial Distribution of Norway Spruce Timber Volume
* 2015: Digital Mapping of Soil Properties Using Multivariate Statistical Analysis and ASTER Data in an Arid Region
* 2015: EnMAP Spaceborne Imaging Spectroscopy Mission for Earth Observation, The
* 2015: Potential of EnMAP and Sentinel-2 Data for Detecting Drought Stress Phenomena in Deciduous Forest Communities, The
* 2015: VNIR/SWIR Laboratory Imaging Spectroscopy for Wall-to-Wall Mapping of Elemental Concentrations in Soil Cores
* 2019: Detection of New Zealand Kauri Trees with AISA Aerial Hyperspectral Data for Use in Multispectral Monitoring
* 2019: Empirical Assessment of Angular Dependency for RedEdge-M in Sloped Terrain Viticulture, An
* 2019: Using Landsat and Sentinel-2 Data for the Generation of Continuously Updated Forest Type Information Layers in a Cross-Border Region
* 2020: Monitoring of Canopy Stress Symptoms in New Zealand Kauri Trees Analysed with AISA Hyperspectral Data
* 2020: Stress Detection in New Zealand Kauri Canopies with WorldView-2 Satellite and LiDAR Data
* 2020: Using hyperspectral plant traits linked to photosynthetic efficiency to assess N and P partition
* 2024: Early Detection of Myrtle Rust on Pohutukawa Using Indices Derived from Hyperspectral and Thermal Imagery
Includes: Buddenbaum, H.[Henning] Buddenbaum, H.
17 for Buddenbaum, H.
Buddhachan, V.[Varunyou]
* 2009: Machine Vision for Excess Gluing Inspection in Spindle Motor Assembly
Buddharaju, B.R.[Balarama Raju]
* 2022: Importance is in your attention: Agent importance prediction for autonomous driving
Buddharaju, P.[Pradeep]
* 2004: Face Recognition in the Thermal Infrared Spectrum
* 2005: Automatic Thermal Monitoring System (ATHEMOS) for Deception Detection
* 2005: Pattern Discovery for Video Surveillance
* 2005: Physiology-based face recognition
* 2006: Activity Awareness: from Predefined Events to New Pattern Discovery
* 2006: Pose-Invariant Physiological Face Recognition in the Thermal Infrared Spectrum
* 2007: Physiology-Based Face Recognition in the Thermal Infrared Spectrum
* 2009: Physiological face recognition is coming of age
* 2012: Comparative Analysis of Thermal and Visual Modalities for Automated Facial Expression Recognition, A
* 2013: Mobile Exergames: Burn Calories While Playing Games on a Smartphone
* 2021: Biofeedback Arrests Sympathetic and Behavioral Effects in Distracted Driving
Includes: Buddharaju, P.[Pradeep] Buddharaju, P.
11 for Buddharaju, P.
Buddhavarapu, V.G.[Vijaya Gajanan]
* 2020: experimental study on classification of thyroid histopathology images using transfer learning, An
Buddhiraju, K.M.[Krishna Mohan]
* 2014: Perspective Based Model for Constructing Diverse Ensemble Members in Multi-classifier Systems for Multi-spectral Image Classification
* 2015: Novel Graph-Matching-Based Approach for Domain Adaptation in Classification of Remote Sensing Image Pair, A
* 2019: Dense Stereo Matching Based on Multiobjective Fitness Function: A Genetic Algorithm Optimization Approach for Stereo Correspondence
* 2020: CNN-Based Super-Resolution of Hyperspectral Images
* 2020: Improving the Classification of Land Use Objects Using Dense Connectivity of Convolutional Neural Networks
Includes: Buddhiraju, K.M.[Krishna Mohan] Buddhiraju, K.M.
Buddle, L.[Lachlan]
* 2015: Beating cilia identification in fluorescence microscope images for accurate CBF measurement
Buddrus, F.
* 1997: Surfing an ODBMS (Maintaining WWW Documents with O2)