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(Computer) Vision without Sight

Identifieur interne : 002151 ( Ncbi/Merge ); précédent : 002150; suivant : 002152

(Computer) Vision without Sight

Auteurs : Roberto Manduchi ; James Coughlan

Source :

RBID : PMC:3398697

Abstract

Computer vision holds great promise for helping persons with blindness or visual impairments (VI) to interpret and explore the visual world. To this end, it is worthwhile to assess the situation critically by understanding the actual needs of the VI population and which of these needs might be addressed by computer vision. This article reviews the types of assistive technology application areas that have already been developed for VI, and the possible roles that computer vision can play in facilitating these applications. We discuss how appropriate user interfaces are designed to translate the output of computer vision algorithms into information that the user can quickly and safely act upon, and how system-level characteristics affect the overall usability of an assistive technology. Finally, we conclude by highlighting a few novel and intriguing areas of application of computer vision to assistive technology.


Url:
DOI: 10.1145/2063176.2063200
PubMed: 22815563
PubMed Central: 3398697

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PMC:3398697

Le document en format XML

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<p id="P1">Computer vision holds great promise for helping persons with blindness or visual impairments (VI) to interpret and explore the visual world. To this end, it is worthwhile to assess the situation critically by understanding the actual needs of the VI population and which of these needs might be addressed by computer vision. This article reviews the types of assistive technology application areas that have already been developed for VI, and the possible roles that computer vision can play in facilitating these applications. We discuss how appropriate user interfaces are designed to translate the output of computer vision algorithms into information that the user can quickly and safely act upon, and how system-level characteristics affect the overall usability of an assistive technology. Finally, we conclude by highlighting a few novel and intriguing areas of application of computer vision to assistive technology.</p>
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<aff id="A1">Department of Computer Engineering, University of California, Santa Cruz, Santa Cruz, CA 95064</aff>
<email>manduchi@soe.ucsc.edu</email>
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<contrib contrib-type="author">
<name>
<surname>Coughlan</surname>
<given-names>James</given-names>
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<aff id="A2">The Smith-Kettlewell Eye Research Institute, 2318 Fillmore Street, San Francisco, CA 94115</aff>
<email>coughlan@ski.org</email>
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<day>25</day>
<month>6</month>
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<year>2012</year>
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<month>7</month>
<year>2012</year>
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<volume>55</volume>
<issue>1</issue>
<fpage>96</fpage>
<lpage>104</lpage>
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<copyright-statement>Copyright 20XX ACM</copyright-statement>
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<p id="P1">Computer vision holds great promise for helping persons with blindness or visual impairments (VI) to interpret and explore the visual world. To this end, it is worthwhile to assess the situation critically by understanding the actual needs of the VI population and which of these needs might be addressed by computer vision. This article reviews the types of assistive technology application areas that have already been developed for VI, and the possible roles that computer vision can play in facilitating these applications. We discuss how appropriate user interfaces are designed to translate the output of computer vision algorithms into information that the user can quickly and safely act upon, and how system-level characteristics affect the overall usability of an assistive technology. Finally, we conclude by highlighting a few novel and intriguing areas of application of computer vision to assistive technology.</p>
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