Download Algebraic Frames for the Perception-Action Cycle: by Gerald Sommer (auth.), Gerald Sommer, Jan J. Koenderink PDF

By Gerald Sommer (auth.), Gerald Sommer, Jan J. Koenderink (eds.)

The publication constitutes the refereed court cases of the overseas Workshop on Algebraic Frames for the Perception-Action Cycle, AFPAC '97, held in Kiel, Germany, in September 1997.
The quantity offers 12 revised complete papers conscientiously reviewed and chosen for inclusion within the ebook. additionally integrated are 10 complete invited papers by way of top researchers within the sector offering a consultant state of the art review of this quickly turning out to be box. The papers are geared up in topical sections on PAC platforms, low point and early imaginative and prescient, popularity of visible constitution, processing of 3D visible house, illustration and form notion, inference and motion, and visible and motor neurocomputation.

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Extra info for Algebraic Frames for the Perception-Action Cycle: International Workshop, AFPAC'97 Kiel, Germany, September 8–9, 1997 Proceedings

Example text

Different filters will have different band widths, but we can view this as a standard unit of similarity or distance, which is supplied by a particular channel filter. This resembles the function of biological neural feature channels. There are in biological vision several examples available for such properties; edge and line detectors, orientation detectors, etc. Such a channel filter has the characteristic t h a t it is local in some input space, as well as local in some property space. 35 It may map from some small region in the visual field, and indicate, say, the existence of a line at some orientation.

LNCS Vol. XXX. Springer-Verlag. Heidelberg. 1997 9. , Daniilidis K. : Hand-eye calibration in terms of motion of lines using geometric algebra. In: Proc. 10th Scandinavian Conference on Image Analysis. Lappeenranta. Finland. 1997 10. , Ersoy O. : Parallel consensual neural networks. IEEE Trans. Neural Networks 8 : 54-64. 1997 11. : A robust layered control system for a mobile robot, tEEE Trans. Robotics and Automation 2 (1): 14-23. 1986 12. , Ahrns I. : Neural fuzzy control based on reinforcement learning and Dynamic Cell Structures.

Such a preconceived structure is not well suited for selforganization and learning. It is also a more classical geometrical representation, rather than a response domain related representation. A view-linked representation on the other hand, has the advantage of potentially being self-organizable. There are also indications from perceptual experiments, which support the view-centered representation. Continuing the discussion of the preceding section, it is postulated that we can advantageously represent objects as invariant combinations of percepts and responses.

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