Przybilla, H.J.
* 2006: Fusion of terrestrial laserscanning and digital photogrammetry
* 2008: Visualization of a Necropolis on the Basis of a Portable Aerial Photogrammetric System and Terrestrial Laser Scanning
* 2009: Generating Historical Urban 3D-Scenarios for Use in Google Earth Representing the Medieval City of Duisburg
* 2009: Themenheft Terrestrisches Laserscanning
* 2013: Enhancements in UAV Flight Control and Sensor Orientation
* 2016: Accuracy Analysis of Photogrammetric UAV Image Blocks: Influence of Onboard RTK-GNSS and Cross Flight Patterns
* 2016: Comparative Geometrical Investigations Of Hand-held Scanning Systems
* 2016: Evaluation Of A Metric Camera System Tailored For High Precision UAV Applications
* 2016: Introduction of a Photogrammetric Camera System for RPAS with Highly Accurate GNSS/IMU Information for Standardized Workflows
* 2016: Investigations of the Geometrical Accuracy of Handheld 3D Scanning Systems
* 2019: Investigations Into The Quality of Image-based Point Clouds From UAV Imagery
* 2019: Investigations On The Geometric Quality of Cameras for UAV Applications Using The High Precision UAV Test Field Zollern Colliery
* 2020: Interaction Between Direct Georeferencing, Control Point Configuration And Camera Self-calibration for RTK-Based UAV Photogrammetry
* 2021: Evaluation of Interior Orientation Modelling for Cameras with Aspheric Lenses and Image Pre-processing with Special Emphasis to SfM Reconstruction
Includes: Przybilla, H.J. Przybilla, H.J.[Heinz-Jürgen]
14 for Przybilla, H.J.
Przybocki, M.
* 1998: Sheep, Goats, Lambs and Wolves: A Statistical Analysis of Speaker Performance in the NIST 1998 Speaker Recognition Evaluation
* 2000: Introduction to Evaluating Biometric Systems, An
Includes: Przybocki, M. Przybocki, M.[Mark]
Przyborski, M.[Marek]
* 2019: Incorporating iris, fingerprint and face biometric for fraud prevention in e-passports using fuzzy vault
* 2019: Stability Assessment of Coastal Cliffs Incorporating Laser Scanning Technology and a Numerical Analysis
Przybyla, C.[Craig]
* 2014: Physics of MRF regularization for segmentation of materials microstructure images
Przybyla, C.P.
* 2016: Groupwise Tracking of Crowded Similar-Appearance Targets from Low-Continuity Image Sequences
* 2016: Large-Scale Fiber Tracking Through Sparsely Sampled Image Sequences of Composite Materials
* 2022: Deep Learning for Object Detection in Materials-Science Images: A Tutorial
Includes: Przybyla, C.P. Przybyla, C.P.[Craig P.]
Przybyszewski, A.[Andrzej]
* 2012: System for Analysis of Tremor in Patients with Parkinson's Disease Based on Motion Capture Technique, A
* 2017: Webcam-based system for video-oculography
Przybyszewski, A.W.[Andrzej W.]
* 2007: Rough Set Theory of Pattern Classification in the Brain
* 2015: Fuzzy Rough Sets Theory Applied to Parameters of Eye Movements Can Help to Predict Effects of Different Treatments in Parkinson's Patients
* 2017: Rough Set Rules Determine Disease Progressions in Different Groups of Parkinson's Patients
Przylucka, M.[Maria]
* 2013: Exploitation of Large Archives of ERS and ENVISAT C-Band SAR Data to Characterize Ground Deformations
* 2015: Combination of Conventional and Advanced DInSAR to Monitor Very Fast Mining Subsidence with TerraSAR-X Data: Bytom City (Poland)
Przystupa, K.[Krzysztof]
* 2024: DCELANM-Net: Medical image segmentation based on dual channel efficient layer aggregation network with learner
* 2025: GSCCANet: Dual Decoder Network Fusing Edge Focus and Global Channel Attention for Precise Segmentation of Colonic Polyps