Abstract
In this paper, two modules of a behavior based robotic-vision system are described: An attention mechanism, and an accumulation algorithm to extract stable object representations within a perception- action cycle.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
M. Ackermann: Akkumulieren von Objektrepräsentationen im Wahrnehmungs-Handlungs Zyklus. Christian-Albrechts Universität zu Kiel, Institut für Informatik und Praktische Mathematik (Diplomarbeit), (2000). 225
W. Blaschke: Kinematik und Quaternionen. VEB Deutscher Verlag der Wissenschaften, (1960). 225
R. A. Brooks: Intelligence without reason. Internat. Joint Conf. on Artificial Intelligence, (1991) 569–595. 224
J. Bruske, G. Sommer: Dynamic cell structure learns perfectly topology preserving map. Neural Computation, 7 (1985) 845–865. 225
T. Bülow, G. Sommer: Quaternionic gabor filters for local structure classiffication. In: A. K. Jain, S. Venkatesh, and B. C. Lovell, Eds., 14th Internat. Conf. on Pattern Recognition, ICPR’98, vol. 1, Brisbane, Australia, August 16–20, IEEE Computer Society, (1998) 808–810. 222
B. Fritzke: Growing cell structures-a self-organizing network for unsupervised and supervised learning. Neural Networks, 7 (1994) 1441–1460. 225
S. Geman, E. Bienenstock, R. Doursat: Neural networks and the bias/variance dilemma. Neural Computation, 4 (1995) 1–58. 224
B. Jähne (Ed.): Digitale Bildverarbeitung. Springer, (1997). 224
J.J Koenderink: Wechsler’s vision: An essay review of computational vision by Harry Wechsler. Ecological Psychology, 4 (1992) 121–128. 219, 225
N. Krüger: Visual Learning with a priori constraints. PhD Thesis, Shaker Verlag, Germany, (1998). 224
N. Krüger, G. Peters: Orassyll: Object recognition with autonomously learned and sparse symbolic representations based on metrically organized local line detectors. Computer Vision and Image Understanding, 77 (2000). 224
M. Lades, J. C. Vorbrüggen, J. Buhmann, J. Lange, C. von der Malsburg, R. P. Würtz, W. Konen: Distortion invariant object recognition in the dynamik link architecture. IEEE Trans. on Computers, 42 (1993) 300–311. 222
KiViGraP (Homepage of the Kieler Vision and Grasping Project). http://www.ks.informatik.uni-kiel.de/~kivi/kivi.html. 221
M. Pötzsch, N. Krüger, C. von der Malsburg: A procedure for automatic analysis of images and image sequences based on two-dimensional shape primitives. U. S. Patent Application, (1999). 224
B. Rosenhahn, N. Krüger, T. Rabsch, G. Sommer: Automatic tracking with a novel pose estimation algorithm. In: Proceed. Robot Vision 2001, Auckland, (2001). 226
P. Schmidt: Entwicklung und Aufbau von taktiler Sensorik für eine Roboterhand. Institut für Neuroinformatik Bochum (Internal Report), (2000). 219
G. Sommer: Algebraic aspects of designing behaviour based systems. In: G. Sommer and J. J. Koenderink, Eds., Algebraic Frames for the Perception and Action Cycle, Springer, (1997) 1–28. 219, 225
D. Wendor.: Diplomarbeit (in progress). 222
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2001 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Krüger, N., Wendorff, D., Sommer, G. (2001). Two Modules of a Vision-Based Robotic System: Attention and Accumulation of Object Representations. In: Klette, R., Peleg, S., Sommer, G. (eds) Robot Vision. RobVis 2001. Lecture Notes in Computer Science, vol 1998. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44690-7_27
Download citation
DOI: https://doi.org/10.1007/3-540-44690-7_27
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-41694-4
Online ISBN: 978-3-540-44690-3
eBook Packages: Springer Book Archive