December 2011
Volume 11, Issue 15
Free
OSA Fall Vision Meeting Abstract  |   December 2011
Validation of Image Filters for Studies of Visual Accessibility
Author Affiliations
  • Paul Beckmann
    University of Minnesota, Psychology
  • Gordon Legge
    University of Minnesota, Psychology
  • Christopher Kallie
    University of Minnesota, Psychology
  • William Thompson
    University of Utah, Computer Science
Journal of Vision December 2011, Vol.11, 25. doi:10.1167/11.15.25
  • Views
  • Share
  • Tools
    • Alerts
      ×
      This feature is available to authenticated users only.
      Sign In or Create an Account ×
    • Get Citation

      Paul Beckmann, Gordon Legge, Christopher Kallie, William Thompson; Validation of Image Filters for Studies of Visual Accessibility. Journal of Vision 2011;11(15):25. doi: 10.1167/11.15.25.

      Download citation file:


      © ARVO (1962-2015); The Authors (2016-present)

      ×
  • Supplements
Abstract

An environment is visually accessible if a person can rely on vision to travel efficiently and safely through it, to perceive its spatial layout, and to update location and orientation within the environment. We are studying how architectural and interior design decisions and viewing conditions interact with vision deficits of people with low vision to determine the visibility of obstacles and other important features. Deficits in acuity and contrast reduce visibility of key features and increase confusability between features in a space, e.g., rendering a step invisible or confusable with a shadow boundary. Here, we describe an image-filtering method intended to reveal the featural information available in an arbitrary scene for an observer with a specified level of reduced acuity. Images were filtered using thresholded bandpass filtering techniques developed by Peli (1990), together with contrast sensitivity functions associated with different levels of reduced acuity and contrast sensitivity. We validated the filtering method by applying it to photographs of letter-acuity charts. We measured the performance of normally-sighted subjects using these filtered images to determine each filter's effective acuity. The resulting calibrated filters can be used to predict the visibility of features in architectural spaces.

×
×

This PDF is available to Subscribers Only

Sign in or purchase a subscription to access this content. ×

You must be signed into an individual account to use this feature.

×