Cargando…
Insect-Inspired Self-Motion Estimation with Dense Flow Fields—An Adaptive Matched Filter Approach
The control of self-motion is a basic, but complex task for both technical and biological systems. Various algorithms have been proposed that allow the estimation of self-motion from the optic flow on the eyes. We show that two apparently very different approaches to solve this task, one technically...
Autores principales: | Strübbe, Simon, Stürzl, Wolfgang, Egelhaaf, Martin |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4550262/ https://www.ncbi.nlm.nih.gov/pubmed/26308839 http://dx.doi.org/10.1371/journal.pone.0128413 |
Ejemplares similares
-
Disentangling of Local and Wide-Field Motion Adaptation
por: Li, Jinglin, et al.
Publicado: (2021) -
Contrast-Independent Biologically Inspired Motion Detection
por: Babies, Birthe, et al.
Publicado: (2011) -
Optic flow based spatial vision in insects
por: Egelhaaf, Martin
Publicado: (2023) -
Depth information in natural environments derived from optic flow by insect motion detection system: a model analysis
por: Schwegmann, Alexander, et al.
Publicado: (2014) -
Motion as a source of environmental information: a fresh view on biological motion computation by insect brains
por: Egelhaaf, Martin, et al.
Publicado: (2014)