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ORCIDGabriele Peters
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- affiliation: University of Hagen, Faculty of Mathematics and Computer Science
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Books and Theses
- 2002
[b1]Gabriele Peters:
A view based approach to three-dimensional object perception. Bielefeld University, Germany, Shaker 2002, ISBN 978-3-8322-0111-1, pp. 1-126
Journal Articles
- 2015
- [j10]Jochen Kerdels, Gabriele Peters:
Analysis of high-dimensional data using local input space histograms. Neurocomputing 169: 272-280 (2015) - 2013
- [j9]Klaus Häming, Gabriele Peters:
Towards a Self-Learning Agent: Using Ranking Functions as a Belief Representation in Reinforcement Learning. Neural Process. Lett. 38(2): 117-129 (2013) - 2011
- [j8]Gabriele Peters:
Criteria for the Creation of Aesthetic Images for Human-Computer Interfaces A Survey for Computer Scientists. Int. J. Creative Interfaces Comput. Graph. 2(1): 68-98 (2011) - 2010
- [j7]Klaus Häming, Gabriele Peters:
The structure-from-motion reconstruction pipeline - a survey with focus on short image sequences. Kybernetika 46(5): 926-937 (2010) - 2007
- [j6]Gabriele Peters, Thomas Leopold:
Dynamic learning of action patterns for object acquisition. Int. J. Intell. Syst. Technol. Appl. 2(2/3): 113-124 (2007) - 2004
- [j5]Gabriele Peters:
Efficient pose estimation using view-based object representations. Mach. Vis. Appl. 16(1): 59-63 (2004) - 2002
- [j4]Gabriele Peters, Barbara Zitová, Christoph von der Malsburg:
How to measure the pose robustness of object views. Image Vis. Comput. 20(4): 249-256 (2002) - [j3]Gabriele Peters, Barbara Zitová, Christoph von der Malsburg:
How to measure the pose robustness of object views. Image Vis. Comput. 20(5-6): 341-348 (2002) - 2000
- [j2]Norbert Krüger, Gabriele Peters:
ORASSYLL: Object Recognition with Autonomously Learned and Sparse Symbolic Representations Based on Metrically Organized Local Line Detectors. Comput. Vis. Image Underst. 77(1): 48-77 (2000) - 1999
- [j1]Barbara Zitová, Jaroslav Kautsky, Gabriele Peters, Jan Flusser:
Robust detection of significant points in multiframe images. Pattern Recognit. Lett. 20(2): 199-206 (1999)
Conference and Workshop Papers
- 2020
- [c45]Frederik Timme, Jochen Kerdels, Gabriele Peters:
On the Robustness of Convolutional Neural Networks Regarding Transformed Input Images. IJCCI 2020: 396-403 - 2019
- [c44]Jochen Kerdels, Gabriele Peters:
Challenging the Intuition about Memory and Computation in Theories of Cognition. IJCCI 2019: 522-527 - 2018
- [c43]Jens Garstka, Gabriele Peters:
Self-Learning 3D Object Classification. ICPRAM 2018: 511-519 - [c42]Jochen Kerdels, Gabriele Peters:
A Grid Cell Inspired Model of Cortical Column Function. IJCCI 2018: 204-210 - 2017
- [c41]Jochen Kerdels, Gabriele Peters:
Entorhinal Grid Cells May Facilitate Pattern Separation in the Hippocampus. IJCCI 2017: 141-148 - 2016
- [c40]Jochen Kerdels, Gabriele Peters:
A Sparse Representation of High-Dimensional Input Spaces Based on an Augmented Growing Neural Gas. GCAI 2016: 303-313 - [c39]Jens Garstka, Gabriele Peters:
Evaluation of Local 3-D Point Cloud Descriptors in Terms of Suitability for Object Classification. ICINCO (2) 2016: 540-547 - [c38]Jochen Kerdels, Gabriele Peters:
Noise Resilience of an RGNG-based Grid Cell Model. IJCCI (NCTA) 2016: 33-41 - [c37]Jochen Kerdels, Gabriele Peters:
Modelling the Grid-like Encoding of Visual Space in Primates. IJCCI (NCTA) 2016: 42-49 - 2015
- [c36]Jochen Kerdels, Gabriele Peters:
A New View on Grid Cells Beyond the Cognitive Map Hypothesis. AGI 2015: 283-292 - [c35]Jens Garstka, Gabriele Peters:
Fast and Robust Keypoint Detection in Unstructured 3-D Point Clouds. ICINCO (2) 2015: 131-140 - [c34]Jens Garstka, Gabriele Peters:
Highly Parallelizable Algorithm for Keypoint Detection in 3-D Point Clouds. ICINCO (Selected Papers) 2015: 267-285 - [c33]Jens Garstka, Gabriele Peters:
Adaptive 3-D Object Classification with Reinforcement Learning. ICINCO (2) 2015: 381-385 - 2014
- [c32]Jochen Kerdels, Gabriele Peters:
Supporting GNG-based clustering with local input space histograms. ESANN 2014 - [c31]Jens Garstka, Gabriele Peters:
Learning Strategies to Select Point Cloud Descriptors for 3D Object Classification: A Proposal. Eurographics (Posters) 2014: 11-12 - 2013
- [c30]Jochen Kerdels, Gabriele Peters:
Exploratory Modeling of Complex Information Processing Systems. ICINCO (1) 2013: 514-521 - [c29]Jochen Kerdels, Gabriele Peters:
A Computational Model of Grid Cells based on Dendritic Self-organized Learning. IJCCI 2013: 420-429 - 2012
- [c28]Klaus Häming, Gabriele Peters:
Making a Reinforcement Learning Agent Believe. ICANN (1) 2012: 435-442 - [c27]Gabriele Peters, Kerstin Bunte
, Marc Strickert, Michael Biehl, Thomas Villmann:
Visualization of processes in self-learning systems. PST 2012: 244-249 - 2011
- [c26]Klaus Häming, Gabriele Peters:
A Hybrid Learning System for Object Recognition. ICINCO (2) 2011: 329-332 - [c25]Klaus Häming, Gabriele Peters:
Ranking Functions in Large State Spaces. EANN/AIAI (2) 2011: 219-228 - [c24]Klaus Häming, Gabriele Peters:
Improved Revision of Ranking Functions for the Generalization of Belief in the Context of Unobserved Variables. IJCCI (NCTA) 2011: 118-123 - [c23]Gabriele Peters:
Six Necessary Qualities of Self-learning Systems - A Short Brainstorming. IJCCI (NCTA) 2011: 358-364 - 2010
- [c22]Klaus Häming, Gabriele Peters:
An Alternative Approach to the Revision of Ordinal Conditional Functions in the Context of Multi-Valued Logic. ICANN (2) 2010: 200-203 - 2009
- [c21]Klaus Häming, Gabriele Peters:
Relational Reinforcement Learning Applied to Appearance-Based Object Recognition. EANN 2009: 301-312 - [c20]Gabriele Peters, Klaus Häming:
Take Three Snapshots - A Tool for Fast Freehand Acquisition of 3D Objects. INTERACT (2) 2009: 842-843 - 2008
- [c19]Thomas Leopold, Gabriele Kern-Isberner, Gabriele Peters:
Combining Reinforcement Learning and Belief Revision - A Learning System for Active Vision. BMVC 2008: 1-10 - [c18]Thomas Leopold, Gabriele Kern-Isberner, Gabriele Peters:
Belief revision with reinforcement learning for interactive object recognition. ECAI 2008: 65-69 - [c17]Gabriele Peters:
Dark days - New York. SIGGRAPH Art Gallery 2008: 72 - 2007
- [c16]Gabriele Peters, Jochen Kerdels:
Image Segmentation Based on Height Maps. CAIP 2007: 612-619 - [c15]Jochen Kerdels, Gabriele Peters:
A Topology-Independent Similarity Measure for High-Dimensional Feature Spaces. ICANN (2) 2007: 331-340 - [c14]Klaus Häming, Gabriele Peters:
Extension of the generalized image rectification - catching the infinity cases. ICINCO-RA (2) 2007: 275-279 - [c13]Gabriele Peters:
Aesthetic Primitives of Images for Visualization. IV 2007: 316-325 - 2006
- [c12]Gabriele Peters:
A Vision System for Interactive Object Learning. ICVS 2006: 32 - 2005
- [c11]Gabriele Peters, Thomas Leopold:
Dynamic Learning of Action Patterns for Object Acquisition. ALaRT 2005: 15-22 - [c10]Gabriele Peters, Claus-Peter Alberts, Markus Briese, Sebastian Entian, Christian Gabriel, Zhiqiang Gao, Alexander Klandt, Thomas Leopold, Jan Schultze, Jeremias Spiegel, Jürgen Thyen, Martina Vaupel, Peter Voß, Qing Zhu:
Adaptive Object Acquisition. ARCS Workshops 2005: 117-122 - [c9]Lihi Zelnik-Manor, Gabriele Peters, Pietro Perona:
Squaring the Circles in Panoramas. ICCV 2005: 1292-1299 - 2003
- [c8]Gabriele Peters:
Efficient Pose Estimation Using View-Based Object Representations. ICVS 2003: 12-21 - [c7]Gabriele Peters:
Object Structure from Noisy Images. SIP 2003: 411-416 - 2002
- [c6]Gabriele Peters, Christoph von der Malsburg:
Learning sparse representations of three-dimensional objects. ESANN 2002: 245-250 - 2001
- [c5]Gabriele Peters, Christoph von der Malsburg:
View Reconstruction by Linear Combination of Sample Views. BMVC 2001: 1-10 - 1999
- [c4]Gabriele Peters, Barbara Zitová, Christoph von der Malsburg:
Two Methods for Comparing Different Views of the Same Object. BMVC 1999: 1-10 - 1998
- [c3]Jaroslav Kautsky, Barbara Zitová, Jan Flusser, Gabriele Peters:
Feature point Detection in Blurred Images. IVCNZ 1998: 103-108 - [c2]Gabriele Peters, Christian Eckes, Christoph von der Malsburg:
Tracking of Rotating Objects. SSPR/SPR 1998: 390-396 - 1997
- [c1]Norbert Krüger, Gabriele Peters:
Object Recognition with Banana Wavelets. ESANN 1997: 61-66
Parts in Books or Collections
- 2000
- [p1]Norbert Krüger, Michael Pötzsch, Gabriele Peters:
Principles of Cortical Processing Applied to and Motivated by Artificial Object Recognition. Information Theory and the Brain 2000: 164-179
Informal and Other Publications
- 2022
- [i1]Patrick Gelhausen, M. Fischer, Gabriele Peters:
Affordance Extraction with an External Knowledge Database for Text-Based Simulated Environments. CoRR abs/2207.00265 (2022)
Coauthor Index
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