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Accuracy and Tuning of Flow Parsing for Visual Perception of Object Motion During Self-Motion

Niehorster, Diederick C LU and Li, Li (2017) In i-Perception 8(3).
Abstract

How do we perceive object motion during self-motion using visual information alone? Previous studies have reported that the visual system can use optic flow to identify and globally subtract the retinal motion component resulting from self-motion to recover scene-relative object motion, a process called flow parsing. In this article, we developed a retinal motion nulling method to directly measure and quantify the magnitude of flow parsing (i.e., flow parsing gain) in various scenarios to examine the accuracy and tuning of flow parsing for the visual perception of object motion during self-motion. We found that flow parsing gains were below unity for all displays in all experiments; and that increasing self-motion and object motion... (More)

How do we perceive object motion during self-motion using visual information alone? Previous studies have reported that the visual system can use optic flow to identify and globally subtract the retinal motion component resulting from self-motion to recover scene-relative object motion, a process called flow parsing. In this article, we developed a retinal motion nulling method to directly measure and quantify the magnitude of flow parsing (i.e., flow parsing gain) in various scenarios to examine the accuracy and tuning of flow parsing for the visual perception of object motion during self-motion. We found that flow parsing gains were below unity for all displays in all experiments; and that increasing self-motion and object motion speed did not alter flow parsing gain. We conclude that visual information alone is not sufficient for the accurate perception of scene-relative motion during self-motion. Although flow parsing performs global subtraction, its accuracy also depends on local motion information in the retinal vicinity of the moving object. Furthermore, the flow parsing gain was constant across common self-motion or object motion speeds. These results can be used to inform and validate computational models of flow parsing.

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Please use this url to cite or link to this publication:
author
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Journal Article
in
i-Perception
volume
8
issue
3
publisher
Pion Ltd
external identifiers
  • scopus:85020088939
ISSN
2041-6695
DOI
10.1177/2041669517708206
language
English
LU publication?
no
id
1589e6b5-1a4a-454f-b1dd-1b61736b99e0
date added to LUP
2017-06-06 22:06:21
date last changed
2018-01-07 12:06:11
@article{1589e6b5-1a4a-454f-b1dd-1b61736b99e0,
  abstract     = {<p>How do we perceive object motion during self-motion using visual information alone? Previous studies have reported that the visual system can use optic flow to identify and globally subtract the retinal motion component resulting from self-motion to recover scene-relative object motion, a process called flow parsing. In this article, we developed a retinal motion nulling method to directly measure and quantify the magnitude of flow parsing (i.e., flow parsing gain) in various scenarios to examine the accuracy and tuning of flow parsing for the visual perception of object motion during self-motion. We found that flow parsing gains were below unity for all displays in all experiments; and that increasing self-motion and object motion speed did not alter flow parsing gain. We conclude that visual information alone is not sufficient for the accurate perception of scene-relative motion during self-motion. Although flow parsing performs global subtraction, its accuracy also depends on local motion information in the retinal vicinity of the moving object. Furthermore, the flow parsing gain was constant across common self-motion or object motion speeds. These results can be used to inform and validate computational models of flow parsing.</p>},
  author       = {Niehorster, Diederick C and Li, Li},
  issn         = {2041-6695},
  keyword      = {Journal Article},
  language     = {eng},
  month        = {06},
  number       = {3},
  publisher    = {Pion Ltd},
  series       = {i-Perception},
  title        = {Accuracy and Tuning of Flow Parsing for Visual Perception of Object Motion During Self-Motion},
  url          = {http://dx.doi.org/10.1177/2041669517708206},
  volume       = {8},
  year         = {2017},
}