Gabriele Peters

发表

A view based approach to three-dimensional object perception

Gabriele Peters, G. Peters, 2002 .

Aesthetic Primitives of Images for Visualization

Gabriele Peters, G. Peters, 2007, 2007 11th International Conference Information Visualization (IV '07).

generalized computational model for modeling and simulation of complex systemsA

Gabriele Peters, Jochen Kerdels, 2012 .

View Reconstruction by Linear Combination of Sample Views

Christoph von der Malsburg, Gabriele Peters, 2001, BMVC.

Learning Strategies to Select Point Cloud Descriptors for 3D Object Classification: A Proposal

Gabriele Peters, Jens Garstka, 2014, Eurographics.

Efficient pose estimation using view-based object representations

Gabriele Peters, 2004, Machine Vision and Applications.

Noise Resilience of an RGNG-based Grid Cell Model

Gabriele Peters, Jochen Kerdels, G. Peters, 2016, IJCCI.

Highly Parallelizable Algorithm for Keypoint Detection in 3-D Point Clouds

Gabriele Peters, Jens Garstka, 2015, ICINCO.

Extension of the generalized image rectification - catching the infinity cases

Gabriele Peters, Klaus Häming, 2007, ICINCO-RA.

Principles of Cortical Processing Applied to and Motivated by Artificial Object Recognition

Gabriele Peters, Michael Pötzsch, Norbert Krüger, 1998 .

Object Structure from Noisy Images

Gabriele Peters, G. Peters, 2003, SIP.

Supporting GNG-based clustering with local input space histograms

Gabriele Peters, Jochen Kerdels, 2014, ESANN.

Efficien tPos eEstimatio nUsin gView-Based Object Representations

Gabriele Peters, G. Peters, 2003 .

Modelling the Grid-like Encoding of Visual Space in Primates

Gabriele Peters, Jochen Kerdels, 2016, IJCCI.

An Object Acquisition Library for Uncalibrated Cameras in C

Gabriele Peters, Klaus Häming, G. Peters, 2006 .

Two Methods for Comparing Different Views of the Same Object

Barbara Zitová, Christoph von der Malsburg, Gabriele Peters, 1999, BMVC.

Six Necessary Qualities of Self-learning Systems - A Short Brainstorming

Gabriele Peters, 2011, IJCCI.

Dynamisches Lernen für geometrische und graphische Objekterfassung - A Vision System for Interactive Object Learning

Fachbereich Informatik, Gabriele Peters, 2007 .

Take Three Snapshots - A Tool for Fast Freehand Acquisition of 3D Objects

Gabriele Peters, Klaus Häming, 2009, INTERACT.

Making a Reinforcement Learning Agent Believe

Gabriele Peters, Klaus Häming, G. Peters, 2012, ICANN.

Visualization of processes in self-learning systems

Thomas Villmann, Michael Biehl, Marc Strickert, 2012, 2012 Tenth Annual International Conference on Privacy, Security and Trust.

Fast and robust keypoint detection in unstructured 3-D point clouds

Gabriele Peters, Jens Garstka, G. Peters, 2015, 2015 12th International Conference on Informatics in Control, Automation and Robotics (ICINCO).

Interpolation of Novel Object Views from Sample Views

Christoph von der Malsburg, Gabriele Peters, C. Malsburg, 2007 .

Tracking of Rotating Objects

Christoph von der Malsburg, Gabriele Peters, Christian Eckes, 1998, SSPR/SPR.

A Noise Compensation Mechanism for an RGNG-Based Grid Cell Model

Gabriele Peters, Jochen Kerdels, 2019 .

Adaptive 3-D object classification with reinforcement learning

Gabriele Peters, Jens Garstka, 2015, 2015 12th International Conference on Informatics in Control, Automation and Robotics (ICINCO).

Dynamic learning of action patterns for object acquisition

Gabriele Peters, Thomas Leopold, 2007, Int. J. Intell. Syst. Technol. Appl..

A Hybrid Learning System for Object Recognition

Gabriele Peters, Klaus Häming, G. Peters, 2011, ICINCO.

A Comparative Evaluation of Matching and Tracking Object Features for the Purpose of Estimating Similar-View-Areas of 3-Dimensional Objects

Barbara Zitová, Christoph von der Malsburg, Gabriele Peters, 1999 .

Learning sparse representations of three-dimensional objects

Christoph von der Malsburg, Gabriele Peters, C. Malsburg, 2002, ESANN.

Ranking Functions in Large State Spaces

Gabriele Peters, Klaus Häming, G. Peters, 2011, EANN/AIAI.

A Sparse Representation of High-Dimensional Input Spaces Based on an Augmented Growing Neural Gas

Gabriele Peters, Jochen Kerdels, 2016, GCAI.

Relational Reinforcement Learning Applied to Appearance-Based Object Recognition

Gabriele Peters, Klaus Häming, G. Peters, 2009, EANN.

Entorhinal Grid Cells May Facilitate Pattern Separation in the Hippocampus

Gabriele Peters, Jochen Kerdels, G. Peters, 2017, IJCCI.

Image Segmentation Based on Height Maps

Gabriele Peters, Jochen Kerdels, 2007, CAIP.

A New View on Grid Cells Beyond the Cognitive Map Hypothesis

Gabriele Peters, Jochen Kerdels, G. Peters, 2015, AGI.

A Vision System for Interactive Object Learning

Gabriele Peters, 2006, Fourth IEEE International Conference on Computer Vision Systems (ICVS'06).

Bild-Ästhetik - Aesthetic Primitives of Images for Visualization

Fachbereich Informatik, Gabriele Peters, 2007 .

Object Recognition with Banana Wavelets

Norbert Krüger, Gabriele Peters, 1997, ESANN.

Adaptive Object Acquisition

Qing Zhu, Zhiqiang Gao, Christian Gabriel, 2005, ARCS Workshops.

Adaptive Object Tracking in Dynamic Environments with User Interaction

Gabriele Peters, Martin Kluger, 2009 .

Criteria for the Creation of Aesthetic Images for Human-Computer Interfaces A Survey for Computer Scientists

Gabriele Peters, G. Peters, 2011, Int. J. Creative Interfaces Comput. Graph..

Feature point Detection in Blurred Images

Jan Flusser, Barbara Zitová, Jaroslav Kautsky, 1998, IVCNZ.

A Computational Model of Grid Cells based on Dendritic Self-organized Learning

Gabriele Peters, Jochen Kerdels, 2013, IJCCI.

Exploratory Modeling of Complex Information Processing Systems

Gabriele Peters, Jochen Kerdels, G. Peters, 2013, ICINCO.

Self-Learning 3D Object Classification

Gabriele Peters, Jens Garstka, 2018, ICPRAM.

Improved Revision of Ranking Functions for the Generalization of Belief in the Context of Unobserved Variables

Gabriele Peters, Klaus Häming, G. Peters, 2011, IJCCI.

ORASSYLL: Object Recognition with Autonomously Learned and Sparse Symbolic Representations Based on Metrically Organized Local Line Detectors

Norbert Krüger, Gabriele Peters, N. Krüger, 2000, Comput. Vis. Image Underst..

LEARNING SCAN PATHS FOR OBJECT RECOGNITION WITH RE LATIONAL REINFORCEMENT LEARNING

Gabriele Peters, Klaus Häming, 2010 .

A Grid Cell Inspired Model of Cortical Column Function

Gabriele Peters, Jochen Kerdels, G. Peters, 2018, IJCCI.

How to measure the pose robustness of object views

Barbara Zitová, Christoph von der Malsburg, Gabriele Peters, 2002, Image Vis. Comput..

An Alternative Approach to the Revision of Ordinal Conditional Functions in the Context of Multi-Valued Logic

Gabriele Peters, Klaus Häming, G. Peters, 2010, ICANN.

Robust detection of significant points in multiframe images

Jan Flusser, Barbara Zitová, Jaroslav Kautsky, 1999, Pattern Recognit. Lett..

How to measure the pose robustness of object views

Barbara Zitová, Christoph von der Malsburg, Gabriele Peters, 2002, Image Vis. Comput..

A Possible Encoding of 3D Visual Space in Primates

Gabriele Peters, Jochen Kerdels, 2019 .

Efficient pose estimation using view-based object representations

Gabriele Peters, G. Peters, 2003, Machine Vision and Applications.

Fast Freehand Acquisition of 3D Objects and Their Visualization

Gabriele Peters, Klaus Häming, G. Peters, 2010 .

A Topology-Independent Similarity Measure for High-Dimensional Feature Spaces

Gabriele Peters, Jochen Kerdels, 2007, ICANN.

Towards a Self-Learning Agent: Using Ranking Functions as a Belief Representation in Reinforcement Learning

Gabriele Peters, Klaus Häming, G. Peters, 2013, Neural Processing Letters.

Evaluation of Local 3-D Point Cloud Descriptors in Terms of Suitability for Object Classification

Gabriele Peters, Jens Garstka, 2016, ICINCO.

The structure-from-motion reconstruction pipeline - a survey with focus on short image sequences

Gabriele Peters, Klaus Häming, G. Peters, 2010, Kybernetika.

Analysis of high-dimensional data using local input space histograms

Gabriele Peters, Jochen Kerdels, 2015, Neurocomputing.

Efficient Approximation of a Recursive Growing Neural Gas

Gabriele Peters, Jochen Kerdels, 2021 .

Object Recognition with a Sparse and Autonomously Learned Representation Based on Banana Wavelets

Norbert Krüger, Christoph von der Malsburg, Gabriele Peters, 1996 .

Towards Regaining Mobility Through Virtual Presence for Patients with Locked-in Syndrome

Gabriele Peters, Jens Garstka, Simone Eidam, 2016 .

THE INTERPOLATION BETWEEN UNSIMILAR VIEWS OF A 3-D OBJECT INCREASES THE SIMILARITY AND DECREASES THE SIGNIFICANCE OF LOCAL PHASE

Gabriele Peters, 2001 .