Cargando…
Robust Models for Optic Flow Coding in Natural Scenes Inspired by Insect Biology
The extraction of accurate self-motion information from the visual world is a difficult problem that has been solved very efficiently by biological organisms utilizing non-linear processing. Previous bio-inspired models for motion detection based on a correlation mechanism have been dogged by issues...
Autores principales: | Brinkworth, Russell S. A., O'Carroll, David C. |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2009
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2766641/ https://www.ncbi.nlm.nih.gov/pubmed/19893631 http://dx.doi.org/10.1371/journal.pcbi.1000555 |
Ejemplares similares
-
Contrast independent biologically inspired translational optic flow estimation
por: Skelton, Phillip S. M., et al.
Publicado: (2022) -
A Model for the Detection of Moving Targets in Visual Clutter Inspired by Insect Physiology
por: Wiederman, Steven D., et al.
Publicado: (2008) -
Dragonfly Neurons Selectively Attend to Targets Within Natural Scenes
por: Evans, Bernard John Essex, et al.
Publicado: (2022) -
Detecting Small Size and Minimal Thermal Signature Targets in Infrared Imagery Using Biologically Inspired Vision
por: Uzair, Muhammad, et al.
Publicado: (2021) -
Insect Odorscapes: From Plant Volatiles to Natural Olfactory Scenes
por: Conchou, Lucie, et al.
Publicado: (2019)