Autor: | Mike Pagel, Christoph von der Malsburg, Eric Maël |
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Rok vydání: | 1998 |
Předmět: |
Artificial neural network
Head (linguistics) Computer science business.industry ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Mechanism (engineering) Artificial Intelligence Convergence (routing) Saccade Fixation (visual) Computer vision Artificial intelligence business Robotic arm Stereo camera |
Zdroj: | Autonomous Robots. 5:355-367 |
ISSN: | 0929-5593 |
DOI: | 10.1023/a:1008866524094 |
Popis: | In this article we show how an active stereo camera head can be made to autonomously learn to fixate objects in space. During fixatio n, the system performs an initial and a correction saccade. In the learning phase the correction saccade is controlled by a crude prewired algorithm, in analogy to a mechanism surmised to exist in the brainstem. A vector-based neural network serves as the adaptive component in our system. A self-organizing fovea improves dramatically the convergence of the learning algorithm and the accuracy of the fixation. As a possible application we describe the visuo-motor coordination of the camera head with an anthropomorphic robot arm. |
Databáze: | OpenAIRE |
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