Egomotion Estimation with Dense Flow Fields: MATLAB Scripts

Strübbe S, Stürzl W, Egelhaaf M (2015) : Bielefeld University. doi:10.4119/unibi/2736885.

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Datenpublikation | Englisch
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These are the matlab scripts used for the numerical analysis in the paper "Insect-inspired Self-Motion Estimation with Dense Flow Fields - An Adaptive Matched Filter Approach". The scripts are separated in two different main simulations. The first part compares the standard Koenderink van Doorn (KvD) approach against the modified KvD approach under the condition of an increasing number of given flow vectors. The second part compares the standard Matched Filter Approach (MFA) by Franz and Krapp against a new adaptive MFA.
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This Egomotion Estimation with Dense Flow Fields: MATLAB Scripts is made available under the Open Data Commons Attribution License: http://opendatacommons.org/licenses/by/1.0
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Strübbe S, Stürzl W, Egelhaaf M. (2015): Egomotion Estimation with Dense Flow Fields: MATLAB Scripts. Bielefeld University. doi:10.4119/unibi/2736885.
Strübbe, S., Stürzl, W., & Egelhaaf, M. (2015). Egomotion Estimation with Dense Flow Fields: MATLAB Scripts. Bielefeld University. doi:10.4119/unibi/2736885
Strübbe, S., Stürzl, W., and Egelhaaf, M. (2015). Egomotion Estimation with Dense Flow Fields: MATLAB Scripts. Bielefeld University. doi:10.4119/unibi/2736885.
Strübbe, S., Stürzl, W., & Egelhaaf, M., 2015. Egomotion Estimation with Dense Flow Fields: MATLAB Scripts. Bielefeld University. doi:10.4119/unibi/2736885
S. Strübbe, W. Stürzl, and M. Egelhaaf, Egomotion Estimation with Dense Flow Fields: MATLAB Scripts. Bielefeld University, 2015. doi:10.4119/unibi/2736885.
Strübbe, S., Stürzl, W., Egelhaaf, M.: Egomotion Estimation with Dense Flow Fields: MATLAB Scripts. Bielefeld University (2015). doi:10.4119/unibi/2736885.
Strübbe, Simon, Stürzl, Wolfgang, and Egelhaaf, Martin. Egomotion Estimation with Dense Flow Fields: MATLAB Scripts. Bielefeld University, 2015. doi:10.4119/unibi/2736885
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2015-07-22T11:42:43Z

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