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  Wide-Field, Motion-Sensitive Neurons and Optimal Matched Filters for Optic Flow

Franz, M., & Krapp, H.(1998). Wide-Field, Motion-Sensitive Neurons and Optimal Matched Filters for Optic Flow (61). Tübingen, Germany: Max Planck Institute for Biological Cybernetics.

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MPIK-TR-61.pdf (Publisher version), 459KB
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 Creators:
Franz, MO1, 2, Author           
Krapp, HG, Author           
Affiliations:
1Max Planck Institute for Biological Cybernetics, Max Planck Society, Spemannstrasse 38, 72076 Tübingen, DE, ou_1497794              
2Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society, Spemannstrasse 38, 72076 Tübingen, DE, ou_1497797              

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 Abstract: We present a theory for the construction of an optimal matched filter for self-motion induced optic flow fields. The matched filter extracts local flow
components along a set of pre-defined directions and weights them according to
an optimization principle which minimizes the difference between estimated and
real egomotion parameters. In contrast to previous approaches, prior knowledge
about distance and translation statistics is incorporated in the form of a
"world model". Simulations indicate that the matched filter model yields
reliable self-motion estimates. A comparison of the weight distribution used
in the model with the local motion sensitivities of individual and small
groups of interneurons in the fly visual system shows a close
correspondence. This suggests that these so-called tangential neurons are
tuned to optic flow fields induced by rotation or translation along a
particular axis. They seem to weight the local optic flow according to the
contribution of input noise and the expected variability of the translatory
flow component. Their local preferred directions and motion sensitivities can
be interpreted as an adaptation to the processing requirements of estimating
self-motion from the optic flow.

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 Dates: 1998-06
 Publication Status: Issued
 Pages: 18
 Publishing info: Tübingen, Germany : Max Planck Institute for Biological Cybernetics
 Table of Contents: -
 Rev. Type: -
 Identifiers: Report Nr.: 61
BibTex Citekey: 1529
 Degree: -

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Title: Technical Report of the Max Planck Institute for Biological Cybernetics
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Pages: - Volume / Issue: 61 Sequence Number: - Start / End Page: - Identifier: -