Hanno Scharr

Orcid: 0000-0002-8555-6416

According to our database1, Hanno Scharr authored at least 61 papers between 1997 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Editorial: Computer vision in plant phenotyping and agriculture.
Frontiers Artif. Intell., February, 2023

Fast Machine Learning Simulator of At-Sensor Radiances for Solar-Induced Fluorescence Retrieval with DESIS and Hyplant.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

Deep Learning Based Prediction of Sun-Induced Fluorescence from Hyplant Imagery.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023

SGD Biased towards Early Important Samples for Efficient Training.
Proceedings of the IEEE International Conference on Data Mining, 2023

Deep learning based 3d reconstruction for phenotyping of wheat seeds: a dataset, challenge, and baseline method.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2021
Towards Large-Scale Rendering of Simulated Crops for Synthetic Ground Truth Generation on Modular Supercomputers.
CoRR, 2021

2020
Practically Lossless Affine Image Transformation.
IEEE Trans. Image Process., 2020

Germination Detection of Seedlings in Soil: A System, Dataset and Challenge.
Proceedings of the Computer Vision - ECCV 2020 Workshops, 2020

2018
Sun Induced Fluorescence Calibration and Validation for Field Phenotyping.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

2017
A cognitive architecture for automatic gardening.
Comput. Electron. Agric., 2017

Computer Vision Problems in Plant Phenotyping, CVPPP 2017: Introduction to the CVPPP 2017 Workshop Papers.
Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

ARIGAN: Synthetic Arabidopsis Plants Using Generative Adversarial Network.
Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

2016
Finely-grained annotated datasets for image-based plant phenotyping.
Pattern Recognit. Lett., 2016

Leaf segmentation in plant phenotyping: a collation study.
Mach. Vis. Appl., 2016

Special issue on computer vision and image analysis in plant phenotyping.
Mach. Vis. Appl., 2016

A Riemannian Bayesian Framework for Estimating Diffusion Tensor Images.
Int. J. Comput. Vis., 2016

2015
Growth Signatures of Rosette Plants from Time-Lapse Video.
IEEE ACM Trans. Comput. Biol. Bioinform., 2015

Image Analysis: The New Bottleneck in Plant Phenotyping [Applications Corner].
IEEE Signal Process. Mag., 2015

Modeling leaf growth of rosette plants using infrared stereo image sequences.
Comput. Electron. Agric., 2015

Entwicklung einer Multi-Plattform-Benutzerschicht zur tätigkeitsbegleitenden Verwaltung von Phänotypisierungsexperimenten und Pflanzenbestandsdaten.
Proceedings of the Informatik in der Land-, 2015

Adaptive sharpening of multimodal distributions.
Proceedings of the Colour and Visual Computing Symposium, 2015

2014
Likelihood Functions for Errors-in-variables Models - Bias-free Local Estimation with Minimum Variance.
Proceedings of the VISAPP 2014, 2014

Using Channel Representations in Regularization Terms - A Case Study on Image Diffusion.
Proceedings of the VISAPP 2014, 2014

2013
A Distributed Information System for Managing Phenotyping Mass Data.
Proceedings of the Massendatenmanagement in der Agrar- und Ernährungswirtschaft, Erhebung - Verarbeitung - Nutzung, Referate der 33. GIL-Jahrestagung, 20., 2013

2012
Plant Root System Analysis from MRI Images.
Proceedings of the Computer Vision, Imaging and Computer Graphics. Theory and Application, 2012

3D Reconstruction of Plant Roots from MRI Images.
Proceedings of the VISAPP 2012, 2012

A Riemannian approach for estimating orientation distribution function (ODF) images from high-angular resolution diffusion imaging (HARDI).
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

A Short Introduction to Diffusion-Like Methods.
Proceedings of the Mathematical Methods for Signal and Image Analysis and Representation, 2012

2011
An Estimation Theoretical Approach to Ambrosio-Tortorelli Image Segmentation.
Proceedings of the Pattern Recognition - 33rd DAGM Symposium, Frankfurt/Main, Germany, August 31, 2011

2010
Range Flow in Varying Illumination: Algorithms and Comparisons.
IEEE Trans. Pattern Anal. Mach. Intell., 2010

Estimation of 3D Object Structure, Motion and Rotation Based on 4D Affine Optical Flow Using a Multi-camera Array.
Proceedings of the Computer Vision, 2010

Diffusion filtering without parameter tuning: Models and inference tools.
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

2009
Riemannian Bayesian estimation of diffusion tensor images.
Proceedings of the IEEE 12th International Conference on Computer Vision, ICCV 2009, Kyoto, Japan, September 27, 2009

2008
Building Blocks for Computer Vision with Stochastic Partial Differential Equations.
Int. J. Comput. Vis., 2008

Range Flow for Varying Illumination.
Proceedings of the Computer Vision, 2008

Riemannian Anisotropic Diffusion for Tensor Valued Images.
Proceedings of the Computer Vision, 2008

An Affine Optical Flow Model for Dynamic Surface Reconstruction.
Proceedings of the Statistical and Geometrical Approaches to Visual Motion Analysis, 2008

Measuring Plant Root Growth.
Proceedings of the Pattern Recognition, 2008

Statistically Optimal Averaging for Image Restoration and Optical Flow Estimation.
Proceedings of the Pattern Recognition, 2008

2007
Optimal second order derivative filter families for transparent motion estimation.
Proceedings of the 15th European Signal Processing Conference, 2007

Simultaneous Estimation of Surface Motion, Depth and Slopes Under Changing Illumination.
Proceedings of the Pattern Recognition, 2007

2006
Channel Smoothing: Efficient Robust Smoothing of Low-Level Signal Features.
IEEE Trans. Pattern Anal. Mach. Intell., 2006

Diffusion-Like Reconstruction Schemes from Linear Data Models.
Proceedings of the Pattern Recognition, 2006

2005
Accurate optical flow in noisy image sequences using flow adapted anisotropic diffusion.
Signal Process. Image Commun., 2005

Estimation of transparent motions with physical models for additional brightness variation.
Proceedings of the 13th European Signal Processing Conference, 2005

2004
Towards a Multi-camera Generalization of Brightness Constancy.
Proceedings of the Complex Motion, First International Workshop, 2004

Optimal Filters for Extended Optical Flow.
Proceedings of the Complex Motion, First International Workshop, 2004

2003
Image Statistics and Anisotropic Diffusion.
Proceedings of the 9th IEEE International Conference on Computer Vision (ICCV 2003), 2003

Noise Adaptive Channel Smoothing of Low-Dose Images.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2003

2002
A Scheme for Coherence-Enhancing Diffusion Filtering with Optimized Rotation Invariance.
J. Vis. Commun. Image Represent., 2002

2001
Root Growth Analysis in Physiological Coordinates.
Proceedings of the 11th International Conference on Image Analysis and Processing (ICIAP 2001), 2001

Accurate Optical Flow in Noisy Image Sequences.
Proceedings of the Eighth International Conference On Computer Vision (ICCV-01), Vancouver, British Columbia, Canada, July 7-14, 2001, 2001

3D Anisotropic Diffusion Filtering for Enhancing Noisy Actin Filament Fluorescence Images.
Proceedings of the Pattern Recognition, 2001

Root Growth Measurements in Object Coordinates.
Proceedings of the Pattern Recognition, 2001

2000
Optimal operators in digital image processing.
PhD thesis, 2000

Dense Structure Estimation via Regularised Optical Flow.
Proceedings of the 5th International Fall Workshop on Vision Modeling and Visualization, 2000

An Anisotropic Diffusion Algorithm with Optimized Rotation Invariance.
Proceedings of the Mustererkennung 2000, 2000

Flame Front Analysis in Turbulent Combustion.
Proceedings of the Mustererkennung 2000, 2000

3D-Modellierung von Pflanzenblättern mittels eines Depth-from-Motion-Verfahrens.
Proceedings of the Mustererkennung 2000, 2000

1998
Study of Dynamical Processes with Tensor-Based Spatiotemporal Image Processing Techniques.
Proceedings of the Computer Vision, 1998

1997
Numerische Isotropieoptimierung von FIR-Filtern mittels Querglättung.
Proceedings of the Mustererkennung 1997, 1997


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