Two Modules of a Vision-Based Robotic System: Attention and Accumulation of Object Representations

Authors:
Norbert Krüger;Daniel Wendorff;Gerald Sommer
Affiliations:
-;-;-
Venue:
RobVis '01 Proceedings of the International Workshop on Robot Vision
Year:
2001

Citing 8
Cited 1

Neural networks and the bias/variance dilemma

Neural Computation
Growing cell structures—a self-organizing network for unsupervised and supervised learning

Neural Networks
Dynamic cell structure learns perfectly topology preserving map

Neural Computation
Distortion Invariant Object Recognition in the Dynamic Link Architecture

IEEE Transactions on Computers
Algebraic Aspects of Designing Behaviour Based Systems

AFPAC '97 Proceedings of the International Workshop on Algebraic Frames for the Perception-Action Cycle
Tracking with a Novel Pose Estimation Algorithm

RobVis '01 Proceedings of the International Workshop on Robot Vision
Quaternion Gabor Filters for Local Structure Classification

ICPR '98 Proceedings of the 14th International Conference on Pattern Recognition-Volume 1 - Volume 1
Intelligence without reason

IJCAI'91 Proceedings of the 12th international joint conference on Artificial intelligence - Volume 1

Tracking with a Novel Pose Estimation Algorithm

RobVis '01 Proceedings of the International Workshop on Robot Vision

Quantified Score

Hi-index	0.00

Visualization

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.