Cargando…

Modeling heading and path perception from optic flow in the case of independently moving objects

Humans are usually accurate when estimating heading or path from optic flow, even in the presence of independently moving objects (IMOs) in an otherwise rigid scene. To invoke significant biases in perceived heading, IMOs have to be large and obscure the focus of expansion (FOE) in the image plane,...

Descripción completa

Detalles Bibliográficos
Autores principales: Raudies, Florian, Neumann, Heiko
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3612589/
https://www.ncbi.nlm.nih.gov/pubmed/23554589
http://dx.doi.org/10.3389/fnbeh.2013.00023
_version_ 1782264670725341184
author Raudies, Florian
Neumann, Heiko
author_facet Raudies, Florian
Neumann, Heiko
author_sort Raudies, Florian
collection PubMed
description Humans are usually accurate when estimating heading or path from optic flow, even in the presence of independently moving objects (IMOs) in an otherwise rigid scene. To invoke significant biases in perceived heading, IMOs have to be large and obscure the focus of expansion (FOE) in the image plane, which is the point of approach. For the estimation of path during curvilinear self-motion no significant biases were found in the presence of IMOs. What makes humans robust in their estimation of heading or path using optic flow? We derive analytical models of optic flow for linear and curvilinear self-motion using geometric scene models. Heading biases of a linear least squares method, which builds upon these analytical models, are large, larger than those reported for humans. This motivated us to study segmentation cues that are available from optic flow. We derive models of accretion/deletion, expansion/contraction, acceleration/deceleration, local spatial curvature, and local temporal curvature, to be used as cues to segment an IMO from the background. Integrating these segmentation cues into our method of estimating heading or path now explains human psychophysical data and extends, as well as unifies, previous investigations. Our analysis suggests that various cues available from optic flow help to segment IMOs and, thus, make humans' heading and path perception robust in the presence of such IMOs.
format Online
Article
Text
id pubmed-3612589
institution National Center for Biotechnology Information
language English
publishDate 2013
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-36125892013-04-01 Modeling heading and path perception from optic flow in the case of independently moving objects Raudies, Florian Neumann, Heiko Front Behav Neurosci Neuroscience Humans are usually accurate when estimating heading or path from optic flow, even in the presence of independently moving objects (IMOs) in an otherwise rigid scene. To invoke significant biases in perceived heading, IMOs have to be large and obscure the focus of expansion (FOE) in the image plane, which is the point of approach. For the estimation of path during curvilinear self-motion no significant biases were found in the presence of IMOs. What makes humans robust in their estimation of heading or path using optic flow? We derive analytical models of optic flow for linear and curvilinear self-motion using geometric scene models. Heading biases of a linear least squares method, which builds upon these analytical models, are large, larger than those reported for humans. This motivated us to study segmentation cues that are available from optic flow. We derive models of accretion/deletion, expansion/contraction, acceleration/deceleration, local spatial curvature, and local temporal curvature, to be used as cues to segment an IMO from the background. Integrating these segmentation cues into our method of estimating heading or path now explains human psychophysical data and extends, as well as unifies, previous investigations. Our analysis suggests that various cues available from optic flow help to segment IMOs and, thus, make humans' heading and path perception robust in the presence of such IMOs. Frontiers Media S.A. 2013-04-01 /pmc/articles/PMC3612589/ /pubmed/23554589 http://dx.doi.org/10.3389/fnbeh.2013.00023 Text en Copyright © 2013 Raudies and Neumann. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in other forums, provided the original authors and source are credited and subject to any copyright notices concerning any third-party graphics etc.
spellingShingle Neuroscience
Raudies, Florian
Neumann, Heiko
Modeling heading and path perception from optic flow in the case of independently moving objects
title Modeling heading and path perception from optic flow in the case of independently moving objects
title_full Modeling heading and path perception from optic flow in the case of independently moving objects
title_fullStr Modeling heading and path perception from optic flow in the case of independently moving objects
title_full_unstemmed Modeling heading and path perception from optic flow in the case of independently moving objects
title_short Modeling heading and path perception from optic flow in the case of independently moving objects
title_sort modeling heading and path perception from optic flow in the case of independently moving objects
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3612589/
https://www.ncbi.nlm.nih.gov/pubmed/23554589
http://dx.doi.org/10.3389/fnbeh.2013.00023
work_keys_str_mv AT raudiesflorian modelingheadingandpathperceptionfromopticflowinthecaseofindependentlymovingobjects
AT neumannheiko modelingheadingandpathperceptionfromopticflowinthecaseofindependentlymovingobjects