Egomotion Estimation with Dense Flow Fields: MATLAB Scripts

Strübbe S, Stürzl W, Egelhaaf M (2015)
Bielefeld University.

Datenpublikation | Englisch
 
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Abstract / Bemerkung
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.
Erscheinungsjahr
2015
Page URI
https://pub.uni-bielefeld.de/record/2736885

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Strübbe S, Stürzl W, Egelhaaf M. Egomotion Estimation with Dense Flow Fields: MATLAB Scripts. Bielefeld University; 2015.
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.
Strübbe, S., Stürzl, W., & Egelhaaf, M., 2015. Egomotion Estimation with Dense Flow Fields: MATLAB Scripts, Bielefeld University.
S. Strübbe, W. Stürzl, and M. Egelhaaf, Egomotion Estimation with Dense Flow Fields: MATLAB Scripts, Bielefeld University, 2015.
Strübbe, S., Stürzl, W., Egelhaaf, M.: Egomotion Estimation with Dense Flow Fields: MATLAB Scripts. Bielefeld University (2015).
Strübbe, Simon, Stürzl, Wolfgang, and Egelhaaf, Martin. Egomotion Estimation with Dense Flow Fields: MATLAB Scripts. Bielefeld University, 2015.
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2019-09-06T09:18:31Z
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