Abstract
The visual apprehension of three-dimensional space both in animals and machines uses flat (two-dimensional) images or views as one major source of information. It is often assumed that visually guided behaviour in the 3D world relies on 3D models that are constructed from the images. In this paper, it is argued that such models are not necessary for a number of spatial tasks including obstacle avoidance and maze exploration. An analysis of the minimal amount of information required to perform these tasks shows that view-based processing suffices. The results are related to current models of rotation invariant object recognition that also suggest view-based processing.
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Mallot, H.A. (2000). View-Based Navigation: Obstacle Avoidance and Maze Exploration. In: Cruse, H., Dean, J., Ritter, H. (eds) Prerational Intelligence: Adaptive Behavior and Intelligent Systems Without Symbols and Logic, Volume 1, Volume 2 Prerational Intelligence: Interdisciplinary Perspectives on the Behavior of Natural and Artificial Systems, Volume 3. Studies in Cognitive Systems, vol 26. Springer, Dordrecht. https://doi.org/10.1007/978-94-010-0870-9_54
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DOI: https://doi.org/10.1007/978-94-010-0870-9_54
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