Volker Steinhage

发表

Generation of 3D City Models Using Domain-Specific Information Fusion

Jens Behley, Volker Steinhage, V. Steinhage, 2009, ICVS.

Person tracking in three-dimensional laser range data with explicit occlusion adaption

Armin B. Cremers, Dirk Schulz, Jens Behley, 2011, 2011 IEEE International Conference on Robotics and Automation.

High-Precision Phenotyping of Grape Bunch Architecture Using Fast 3D Sensor and Automation

Robert Richter, Volker Steinhage, Florian Rist, 2018, Sensors.

Pattern Recognition Combining De-noising and Linear Discriminant Analysis within a Real World Application

Armin B. Cremers, Volker Roth, Stefan Schröder, 1999, CAIP.

Extracting Buildings from Aerial Images Using Hierarchical Aggregation in 2D and 3D

Armin B. Cremers, Wolfgang Förstner, Lutz Plümer, 1998, Comput. Vis. Image Underst..

On the Computation of Visual Events in Aspect Graph Generation

Volker Steinhage, André Fischer, 1997, DAGM-Symposium.

Verification of the general position assumption in the practice of stereovision

Volker Steinhage, 1992, [1992] Proceedings. 11th IAPR International Conference on Pattern Recognition.

Reliable Biometrical Analysis in Biodiversity Information Systems

Martin Drauschke, Volker Steinhage, Dieter Wittmann, 2007, PRIS.

Automated Identification of Bee Species in Biodiversity Information Systems

Volker Steinhage, 2000 .

Semantic Skeletonization for Structural Plant Analysis

Volker Steinhage, Florian Schöler, Jenny Balfer, 2013 .

Learning to hash logistic regression for fast 3D scan point classification

Armin B. Cremers, Kristian Kersting, Dirk Schulz, 2010, 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Efficient radius neighbor search in three-dimensional point clouds

Armin B. Cremers, Jens Behley, Volker Steinhage, 2015, 2015 IEEE International Conference on Robotics and Automation (ICRA).

An Adaptive Approach for Automated Grapevine Phenotyping using VGG-based Convolutional Neural Networks pdf

Volker Steinhage, Florian Rist, Katja Herzog, 2018, ArXiv.

Towards an Automated 3D Reconstruction of Plant Architecture

Volker Steinhage, Florian Schöler, V. Steinhage, 2011, AGTIVE.

Efficient identification, localization and quantification of grapevine inflorescences and flowers in unprepared field images using Fully Convolutional Networks

Volker Steinhage, Katja Herzog, Reinhard Töpfer, 2019 .

A Model-Based Approach to High Performance Phenotyping

Volker Steinhage, Florian Schöler, Jenny Balfer, 2012, EnviroInfo.

Occlusions and Special Views within the Reconstruction of Polyhedral Scenes

Volker Steinhage, V. Steinhage, 1993, CAIP.

Automated 3D reconstruction of grape cluster architecture from sensor data for efficient phenotyping

Volker Steinhage, Florian Schöler, V. Steinhage, 2015, Comput. Electron. Agric..

Automated lung tumor detection and diagnosis in CT Scans using texture feature analysis and SVM

Tim Adams, Volker Steinhage, Jens Dörpinghaus, 2018, FedCSIS.

Image-Based Identification of Plant Species Using a Model-Free Approach and Active Learning

Ben C. Stöver, Kai F. Müller, Volker Steinhage, 2016, KI.

An adaptable approach to automated visual detection of plant organs with applications in grapevine breeding

Volker Steinhage, Florian Rist, Katja Herzog, 2019, Biosystems Engineering.

LeafNet: A computer vision system for automatic plant species identification

Ben C. Stöver, Kai F. Müller, Volker Steinhage, 2017, Ecol. Informatics.

Performance of histogram descriptors for the classification of 3D laser range data in urban environments

Armin B. Cremers, Jens Behley, Volker Steinhage, 2012, 2012 IEEE International Conference on Robotics and Automation.

Automated Parameter Estimation for a Plant Architecture Model

Volker Steinhage, Florian Schöler, Jenny Balfer, 2013 .

Nonlinear Discriminant Analysis Using Kernel Functions

Volker Roth, Volker Steinhage, Volker Roth, 1999, NIPS.

Combination of an Automated 3D Field Phenotyping Workflow and Predictive Modelling for High-Throughput and Non-Invasive Phenotyping of Grape Bunches

Volker Steinhage, Florian Rist, Katja Herzog, 2019, Remote. Sens..

Biodiversity Informatics in Action: Identification and Monitoring of Bee Species using ABIS

Stefan Schröder, Tom Arbuckle, Volker Steinhage, 2001 .

POLYOC: Photogrammetric Measurements of Buildings and Architectural Models via Multi-View Steoreovision

Volker Steinhage, 1991 .

High-precision 3D detection and reconstruction of grapes from laser range data for efficient phenotyping based on supervised learning

Volker Steinhage, Jennifer Mack, Christian Lenz, 2017, Comput. Electron. Agric..

Constraint-based automated reconstruction of grape bunches from 3D range data for high-throughput phenotyping

Volker Steinhage, Florian Rist, Katja Herzog, 2020 .

Automated Reconstruction of 3D Plant Architecture Applied to Grapevine Phenotyping

Volker Steinhage, Florian Schöler, 2015, GIL Jahrestagung.

Multi-View Semantic Labeling of 3D Point Clouds for Automated Plant Phenotyping pdf

Volker Steinhage, Florian Rist, Katja Herzog, 2018, ArXiv.

35. Jahrestagung der Gesellschaft für Informatik, Informatik LIVE!, INFORMATIK 2005, Bonn, Germany, September 19-22, 2005, Band 2

Armin B. Cremers, Peter Martini, Rainer Manthey, 2005, GI Jahrestagung.

Image-based Automated Species Identification: Can Virtual Data Augmentation Overcome Problems of Insufficient Sampling? pdf

Volker Steinhage, Jonas Eberle, Morris Klasen, 2020, Systematic biology.

Automatisierte Artenbestimmung von Insekten durch Bildanalyse

Volker Roth, Stefan Schröder, Volker Steinhage, 2000, Künstliche Intell..

A Hierarchical Approach to Classify Solitary Bees Based on Image Analysis

Stefan Schröder, Volker Steinhage, B. Kastenholz, 1997, DAGM-Symposium.

Laser-based segment classification using a mixture of bag-of-words

Armin B. Cremers, Jens Behley, Volker Steinhage, 2013, 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Automated Phenotyping of Epicuticular Waxes of Grapevine Berries Using Light Separation and Convolutional Neural Networks

Matthias B. Hullin, Volker Steinhage, Katja Herzog, 2018, Comput. Electron. Agric..

AUTOMATED UPDATING AND MAINTENANCE OF 3D CITY MODELS

Armin B. Cremers, Jens Behley, Volker Steinhage, 2010 .

Automated Pollinator Monitoring for Crop Farming

Volker Steinhage, V. Steinhage, 2015, GIL Jahrestagung.

Employing Aspect Hierarchies for Building Detection in Digital Images

Volker Steinhage, Artur Pogoda de la Vega, A. Kort, 1996, DAGM-Symposium.

Image-based species identification of wild bees using convolutional neural networks

Volker Steinhage, Dirk Ahrens, Keanu Buschbacher, 2020, Ecol. Informatics.

Verdeckungen und spezielle Sichten bei der Polyederrekonstruktion

Volker Steinhage, 1993, DISKI.

Models for photogrammetric building reconstruction

Wolfgang Förstner, Lutz Plümer, Thomas H. Kolbe, 1995, Comput. Graph..

On the extraction and relevance ranking of visual morphological traits for taxon identification

Volker Steinhage, Keanu Buschbacher, 2020, Ecol. Informatics.

Evaluation of an automated 3D based phenotyping pipeline for grapevine bunches to determine bunch architecture traits

Robert Richter, Volker Steinhage, Florian Rist, 2017 .

Semantic labeling and reconstruction of grape bunches from 3D range data using a new RGB-D feature descriptor

Volker Steinhage, Florian Rist, Katja Herzog, 2018, Comput. Electron. Agric..

Efficient identification, localization and quantification of grapevine inflorescences in unprepared field images using Fully Convolutional Networks pdf

Volker Steinhage, Katja Herzog, Reinhard Töpfer, 2018, ArXiv.

Management and Visualization of Biodiversity Knowledge

Martin Drauschke, Stefan Schröder, Volker Steinhage, 2006, EnviroInfo.

Pattern Recognition Combining Feature- and Pixel-Based Classification Within a Real World Application

Volker Roth, Stefan Schröder, Volker Steinhage, 1999, DAGM-Symposium.

Exploiting Depth Information for Wildlife Monitoring pdf

Volker Steinhage, Timm Haucke, V. Steinhage, 2021, ArXiv.

Improved optical phenotyping of the grape berry surface using light-separation and automated RGB image analysis

Volker Steinhage, Katja Herzog, Reinhard Töpfer, 2021 .

Saving costs for video data annotation in wildlife monitoring

Volker Steinhage, Frank Schindler, 2021, Ecol. Informatics.

Overcoming the Distance Estimation Bottleneck in Camera Trap Distance Sampling pdf

Hjalmar S. Kühl, Volker Steinhage, Jacqueline Hoyer, 2021, ArXiv.

Automated identification of vulnerable devices in networks using traffic data and deep learning

Daniel Vogel, Volker Steinhage, Jakob Greis, 2021, Int. J. Inf. Priv. Secur. Integr..

Automated Identification of Vulnerable Devices in Networks using Traffic Data and Deep Learning pdf

Michael Meier, Volker Steinhage, Jakob Greis, 2021, Int. J. Inf. Priv. Secur. Integr..

Overcoming the distance estimation bottleneck in estimating animal abundance with camera traps

Volker Steinhage, Jacqueline Hoyer, Timm Haucke, 2021, Ecol. Informatics.

Using artificial intelligence for grapevine yield forcasts

Volker Steinhage, Reinhard Töpfer, Anna Kicherer, 2021 .

Identification of animals and recognition of their actions in wildlife videos using deep learning techniques

Volker Steinhage, Frank Schindler, V. Steinhage, 2021, Ecol. Informatics.

Automated Extraction and Analysis of Morphological Features for Species Identification

Armin B. Cremers, Volker Steinhage, Karl-Heinz Lampe, 2007 .

THE NEW KEY TO BEES: AUTOMATED IDENTIFICATION BY IMAGE ANALYSIS OF WINGS

Volker Roth, Armin B. Cremers, Volker Steinhage, 2002 .

The Science of “Fingerprinting” Bees

Volker Roth, Armin B. Cremers, Volker Steinhage, 2006 .

Identification of Africanized honey bees through wing morphometrics: two fast and efficient procedures

Martin Drauschke, Volker Steinhage, Dieter Wittmann, 2008, Apidologie.