Hanno Scharr

发表

Imaging dynamics of plant growth using image sequence analysis

Hanno Scharr, M. M. Christ, U. Schurr, 2002 .

3D-Modellierung von Pflanzenblättern mittels eines Depth-from-Motion-Verfahrens

Hanno Scharr, Norbert Kirchgeßner, Uli Schurr, 2000, DAGM-Symposium.

Sun Induced Fluorescence Calibration and Validation for Field Phenotyping

Hanno Scharr, Luis Alonso, Tommaso Julitta, 2018, IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium.

Dense Structure Estimation via Regularised Optical Flow

Hanno Scharr, Bernd Jähne, Norbert Kirchgeßner, 2000, VMV.

Fast High Resolution Volume Carving for 3D Plant Shoot Reconstruction

Hanno Scharr, Christoph Briese, Patrick Embgenbroich, 2017, Front. Plant Sci..

A Riemannian approach for estimating orientation distribution function (ODF) images from high-angular resolution diffusion imaging (HARDI)

Hanno Scharr, Kai Krajsek, 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.

A Distributed Information System for Managing Phenotyping Mass Data

Hanno Scharr, Armin B. Cremers, Florian Schmidt, 2013, GIL Jahrestagung.

Optimal Filters for Extended Optical Flow

Hanno Scharr, H. Scharr, 2004, IWCM.

Finely-grained annotated datasets for image-based plant phenotyping

Hanno Scharr, Sotirios A. Tsaftaris, Massimo Minervini, 2016, Pattern Recognit. Lett..

Root growth analysis in physiological coordinates

Hanno Scharr, Norbert Kirchgeßner, Hagen Spies, 2001, Proceedings 11th International Conference on Image Analysis and Processing.

Citizen crowds and experts: observer variability in image-based plant phenotyping

Hanno Scharr, Sotirios A. Tsaftaris, Feng Chen, 2018, Plant Methods.

Noise Adaptive Channel Smoothing of Low-Dose Images

Michael Felsberg, Hanno Scharr, Per-Erik Forssén, 2003, 2003 Conference on Computer Vision and Pattern Recognition Workshop.

A Scheme for Coherence-Enhancing Diffusion Filtering with Optimized Rotation Invariance

Hanno Scharr, Joachim Weickert, J. Weickert, 2002, J. Vis. Commun. Image Represent..

Optimal operators in digital image processing

Hanno Scharr, H. Scharr, 2000 .

Likelihood functions for errors-in-variables models bias-free local estimation with minimum variance

Hanno Scharr, Kai Krajsek, Christian Heinemann, 2014, 2014 International Conference on Computer Vision Theory and Applications (VISAPP).

Non-invasive phenotyping of model- and crop plants

Hanno Scharr, Ulrich Schurr, Achim Walter, 2010 .

An Affine Optical Flow Model for Dynamic Surface Reconstruction

Hanno Scharr, Tobias Schuchert, H. Scharr, 2009, Statistical and Geometrical Approaches to Visual Motion Analysis.

Statistically Optimal Averaging for Image Restoration and Optical Flow Estimation

Hanno Scharr, Rudolf Mester, Kai Krajsek, 2008, DAGM-Symposium.

Accurate Optical Flow in Noisy Image Sequences

Hanno Scharr, Hagen Spies, 2001, ICCV.

Entwicklung einer Multi-Plattform-Benutzerschicht zur tätigkeitsbegleitenden Verwaltung von Phänotypisierungsexperimenten und Pflanzenbestandsdaten

Hanno Scharr, Florian Schmidt, Benjamin Bruns, 2015, GIL Jahrestagung.

Diffusion filtering without parameter tuning: Models and inference tools

Hanno Scharr, Kai Krajsek, H. Scharr, 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

Flame Front Analysis in Turbulent Combustion

Hanno Scharr, Bernd Jähne, Stefan Böckle, 2000, DAGM-Symposium.

Phänotypisierung von Arabidopsis thaliana mit Growscreen Fluoro

Hanno Scharr, Achim Walter, Uwe Rascher, 2010 .

Range Flow in Varying Illumination: Algorithms and Comparisons

Hanno Scharr, Til Aach, Tobias Schuchert, 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Monitoring dynamic changes of root growth parameters by means of digital image sequences analysis

Hanno Scharr, U. Schurr, N. Kirchgeßner, 2002 .

Simulations in Plant Biology at IBG2

Hanno Scharr, Johannes A. Postma, V. A. Sydoruk, 2015 .

Image Analysis: The New Bottleneck in Plant Phenotyping [Applications Corner]

Hanno Scharr, Sotirios A. Tsaftaris, Massimo Minervini, 2015, IEEE Signal Processing Magazine.

Estimation of transparent motions with physical models for additional brightness variation

Hanno Scharr, Erhardt Barth, Ingo Stuke, 2005, 2005 13th European Signal Processing Conference.

Digitale Bildverarbeitung und Papier Texturanalyse mittels Pyramiden und Grauwertstatistiken am Beispiel der Papierformation

Hanno Scharr, 1996 .

Riemannian Anisotropic Diffusion for Tensor Valued Images

Hanno Scharr, Marion I. Menzel, Kai Krajsek, 2008, ECCV.

Growth Signatures of Rosette Plants from Time-Lapse Video

Hanno Scharr, Carme Torras, Babette Dellen, 2015, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

3d Reconstruction of Plant Roots from Mri Images

Hanno Scharr, Sven Behnke, Dagmar van Dusschoten, 2012 .

Correction of beam steering effects in 2d-laser-diagnostic measurements in combustion engines by image postprocessing

Hanno Scharr, Christof Schulz, Joachim Gronki, 2002 .

Analysis of growth processes in plant leaves and plant roots. Image Sequence Analysis to Investigate Dynamic

Hanno Scharr, N. Kirchgeßner, R. Küsters, 2009 .

Study of Dynamical Processes with Tensor-Based Spatiotemporal Image Processing Techniques

Hanno Scharr, Bernd Jähne, Uli Schurr, 1998, ECCV.

An Estimation Theoretical View on Ambrosio‐Tortorelli Image Segmentation

Hanno Scharr, Kai Krajsek, Ines Dedovic, 2012 .

Channel smoothing: efficient robust smoothing of low-level signal features

Michael Felsberg, Hanno Scharr, Per-Erik Forssén, 2006, IEEE Transactions on Pattern Analysis and Machine Intelligence.

An Estimation Theoretical Approach to Ambrosio-Tortorelli Image Segmentation

Hanno Scharr, Kai Krajsek, Ines Dedovic, 2011, DAGM-Symposium.

ARIGAN: Synthetic Arabidopsis Plants using Generative Adversarial Network

Hanno Scharr, Sotirios A. Tsaftaris, Mario Valerio Giuffrida, 2017, bioRxiv.

A stereo imaging system for measuring plant canopies

Hanno Scharr, Uwe Rascher, Bernhard Biskup, 2007 .

phenoVein - A software tool for leaf vein segmentation and analysis

Hanno Scharr, Ulrich Schurr, Daniel Pflugfelder, 2015 .

Modeling leaf growth of rosette plants using infrared stereo image sequences

Hanno Scharr, Eren Erdal Aksoy, Babette Dellen, 2015, Comput. Electron. Agric..

B-spline channel smoothing for robust estimation

Michael Felsberg, Hanno Scharr, Per-Erik Forssén, 2004 .

Range Flow for Varying Illumination

Hanno Scharr, Til Aach, Tobias Schuchert, 2008, ECCV.

High-resolution 3D plant reconstruction from multiple views using volume carving with octrees and integral images

Hanno Scharr, Christoph Briese, Fabio Fiorani, 2017 .

Measuring Plant Root Growth

Hanno Scharr, Til Aach, Achim Walter, 2008, DAGM-Symposium.

Using channel representations in regularization terms a case study on image diffusion

Michael Felsberg, Hanno Scharr, Freddie Åström, 2014, 2014 International Conference on Computer Vision Theory and Applications (VISAPP).

Simultaneous Estimation of Surface Motion, Depth and Slopes Under Changing Illumination

Hanno Scharr, Tobias Schuchert, 2007, DAGM-Symposium.

Accurate optical flow in noisy image sequences using flow adapted anisotropic diffusion

Hanno Scharr, Hagen Spies, H. Spies, 2005, Signal Process. Image Commun..

Principles of Filter Design

Hanno Scharr, Bernd Jähne, Stefan Körkel, 1999 .

Annotated Image Datasets of Rosette Plants

Hanno Scharr, Sotirios A. Tsaftaris, Massimo Minervini, 2014 .

Root Growth Measurements in Object Coordinates

Hanno Scharr, Norbert Kirchgeßner, Uli Schurr, 2001, DAGM-Symposium.

3D Surface Reconstruction of Plant Seeds by Volume Carving: Performance and Accuracies

Hanno Scharr, Andreas Fischbach, Johanna Roussel, 2016, Frontiers in plant science.

Optimal second order derivative filter families for transparent motion estimation

Hanno Scharr, 2007, 2007 15th European Signal Processing Conference.

Riemannian Bayesian estimation of diffusion tensor images

Hanno Scharr, Marion I. Menzel, Kai Krajsek, 2009, 2009 IEEE 12th International Conference on Computer Vision.

Nonlinear Analysis of Multi-Dimensional Signals: Local Adaptive Estimation of Complex Motion and Orientation Patterns

Hanno Scharr, Til Aach, Bernd Jähne, 2008 .

A cognitive architecture for automatic gardening

Hanno Scharr, Carme Torras, Florentin Wörgötter, 2017, Comput. Electron. Agric..

Special issue on computer vision and image analysis in plant phenotyping

Hanno Scharr, Sotirios A. Tsaftaris, Andrew P. French, 2016, Machine Vision and Applications.

A method for measuring the growth of leaf disks and a suitable device to

Hanno Scharr, Andreas Fischbach, Bernhard Biskup, 2008 .

Communications in Computer and Information Science Volume 359, Springer, 2013. Plant root system analysis from MRI images

Hanno Scharr, Sven Behnke, Dagmar van Dusschoten, 2022 .

Image statistics and anisotropic diffusion

Hanno Scharr, Michael J. Black, Horst W. Haussecker, 2003, Proceedings Ninth IEEE International Conference on Computer Vision.

Diffusion-Like Reconstruction Schemes from Linear Data Models

Hanno Scharr, 2006, DAGM-Symposium.

Simultaneous motion, depth and slope estimation with a camera-grid

Hanno Scharr, Tobias Schuchert, 2006 .

Investigation of plant growth using image sequence analysis

Hanno Scharr, M. M. Christ, U. Schurr, 2006 .

Towards a Multi-camera Generalization of Brightness Constancy

Hanno Scharr, H. Scharr, 2004, IWCM.

A Riemannian Bayesian Framework for Estimating Diffusion Tensor Images

Hanno Scharr, Marion I. Menzel, Kai Krajsek, 2016, International Journal of Computer Vision.

3D Anisotropic Diffusion Filtering for Enhancing Noisy Actin Filament Fluorescence Images

Hanno Scharr, Dietmar Uttenweiler, H. Scharr, 2001, DAGM-Symposium.

Combined image processing tools for MRI-and PET-Data

Hanno Scharr, Marion I. Menzel, Siegfried Jahnke, 2007 .

Imaging and Image Processing for Plant Phenotyping

Hanno Scharr, 2015 .

Adaptive sharpening of multimodal distributions

Michael Felsberg, Hanno Scharr, Freddie Åström, 2015, 2015 Colour and Visual Computing Symposium (CVCS).

An Anisotropic Diffusion Algorithm with Optimized Rotation Invariance

Hanno Scharr, Joachim Weickert, J. Weickert, 2000, DAGM-Symposium.

Estimation of 3D Object Structure, Motion and Rotation Based on 4D Affine Optical Flow Using a Multi-camera Array

Hanno Scharr, Tobias Schuchert, H. Scharr, 2010, ECCV.

Building Blocks for Computer Vision with Stochastic Partial Differential Equations

Hanno Scharr, Robert Michael Kirby, Kai Krajsek, 2008, International Journal of Computer Vision.

Numerische Isotropieoptimierung von FIR-Filtern mittels Querglättung

Hanno Scharr, Bernd Jähne, Stefan Körkel, 1997, DAGM-Symposium.

Leaf segmentation in plant phenotyping: a collation study

Hanno Scharr, Sotirios A. Tsaftaris, Xiaoming Liu, 2016, Machine Vision and Applications.

Towards Large-Scale Rendering of Simulated Crops for Synthetic Ground Truth Generation on Modular Supercomputers pdf

Hanno Scharr, Morris Riedel, Jens Henrik Göbbert, 2021, ArXiv.

Temperature responses of roots: impact on growth, root system architecture and implications for phenotyping.

Hanno Scharr, Til Aach, Ulrich Schurr, 2009, Functional plant biology : FPB.

Optimal separable interpolation of color images with bayer array format

Hanno Scharr, 2000 .

Dynamics of leaf and root growth

Hanno Scharr, Ulrich Schurr, Achim Walter, 2001 .

phenoVein—A Tool for Leaf Vein Segmentation and Analysis1[OPEN]

Hanno Scharr, Ulrich Schurr, Daniel Pflugfelder, 2015, Plant Physiology.

QTL analysis of early stage heterosis for biomass in Arabidopsis

Hanno Scharr, Ulrich Schurr, Joachim Selbig, 2009, Theoretical and Applied Genetics.

Diel Growth Cycle of Isolated Leaf Discs Analyzed with a Novel, High-Throughput Three-Dimensional Imaging Method Is Identical to That of Intact Leaves1[W]

Hanno Scharr, Ulrich Schurr, Achim Walter, 2009, Plant Physiology.

Sharing the Right Data Right: A Symbiosis with Machine Learning.

Hanno Scharr, Sotirios A Tsaftaris, H. Scharr, 2019, Trends in plant science.

Spatio-temporal quantification of differential growth processes in root growth zones based on a novel combination of image sequence processing and refined concepts describing curvature production.

Hanno Scharr, Ulrich Schurr, Achim Walter, 2008, The New phytologist.

Quantification of Plant Surface Structures form Small Baseline Stereo Images to Measure the Three-dimensional Surface from the Leaf to the Canopy Scale

Hanno Scharr, Achim Walter, Uwe Rascher, 2009 .

Machine Learning for Plant Phenotyping Needs Image Processing.

Hanno Scharr, Massimo Minervini, Sotirios A Tsaftaris, 2016, Trends in plant science.

Robust vein extraction on plant leaf images

Hanno Scharr, N. Kirchgeßner, U. Schurr, 2002 .

Velocity and feature estimation of actin filaments using active contours in noisy fluorescence image sequences

Hanno Scharr, N. Kirchgeßner, Bernd Jähne, 2002 .

The significance of image compression in plant phenotyping applications.

Hanno Scharr, Massimo Minervini, Sotirios A Tsaftaris, 2015, Functional plant biology : FPB.