Literature DB >> 22815563

(Computer) Vision without Sight.

Roberto Manduchi1, James Coughlan.   

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.

Entities:  

Year:  2012        PMID: 22815563      PMCID: PMC3398697          DOI: 10.1145/2063176.2063200

Source DB:  PubMed          Journal:  Commun ACM        ISSN: 0001-0782            Impact factor:   4.654


  7 in total

1.  An Algorithm Enabling Blind Users to Find and Read Barcodes.

Authors:  Ender Tekin; James M Coughlan
Journal:  Proc IEEE Workshop Appl Comput Vis       Date:  2009-12-07

2.  Assessment of Indoor Route-finding Technology for People with Visual Impairment.

Authors:  Amy A Kalia; Gordon E Legge; Rudrava Roy; Advait Ogale
Journal:  J Vis Impair Blind       Date:  2010-03-01

3.  Localizing Blurry and Low-Resolution Text in Natural Images.

Authors:  Pannag Sanketi; Huiying Shen; James M Coughlan
Journal:  Proc IEEE Workshop Appl Comput Vis       Date:  2011-02-10

4.  Real-Time Detection and Reading of LED/LCD Displays for Visually Impaired Persons.

Authors:  Ender Tekin; James M Coughlan; Huiying Shen
Journal:  Proc IEEE Workshop Appl Comput Vis       Date:  2011-01-05

5.  FUNCTIONAL ASSESSMENT OF A CAMERA PHONE-BASED WAYFINDING SYSTEM OPERATED BY BLIND AND VISUALLY IMPAIRED USERS.

Authors:  James Coughlan; Roberto Manduchi
Journal:  Int J Artif Intell Tools       Date:  2009-06-01       Impact factor: 1.208

6.  Scene text recognition using similarity and a lexicon with sparse belief propagation.

Authors:  Jerod J Weinman; Erik Learned-Miller; Allen R Hanson
Journal:  IEEE Trans Pattern Anal Mach Intell       Date:  2009-10       Impact factor: 6.226

7.  Reading 1D Barcodes with Mobile Phones Using Deformable Templates.

Authors:  Orazio Gallo; Roberto Manduchi
Journal:  IEEE Trans Pattern Anal Mach Intell       Date:  2010-12-23       Impact factor: 6.226

  7 in total
  6 in total

1.  A Novel Vision-Enhancing Technology for Low-Vision Impairments.

Authors:  Carmelo Lodato; Patrizia Ribino
Journal:  J Med Syst       Date:  2018-11-07       Impact factor: 4.460

2.  Hands Holding Clues for Object Recognition in Teachable Machines.

Authors:  Kyungjun Lee; Hernisa Kacorri
Journal:  Proc SIGCHI Conf Hum Factor Comput Syst       Date:  2019-05

3.  On Supporting University Communities in Indoor Wayfinding: An Inclusive Design Approach.

Authors:  Catia Prandi; Giovanni Delnevo; Paola Salomoni; Silvia Mirri
Journal:  Sensors (Basel)       Date:  2021-04-30       Impact factor: 3.576

4.  Indoor navigation by people with visual impairment using a digital sign system.

Authors:  Gordon E Legge; Paul J Beckmann; Bosco S Tjan; Gary Havey; Kevin Kramer; David Rolkosky; Rachel Gage; Muzi Chen; Sravan Puchakayala; Aravindhan Rangarajan
Journal:  PLoS One       Date:  2013-10-08       Impact factor: 3.240

5.  On the edge: haptic discrimination of edge sharpness.

Authors:  Andy L Skinner; Christopher Kent; Jonathan M Rossiter; Christopher P Benton; Martin G M Groen; Jan M Noyes
Journal:  PLoS One       Date:  2013-09-04       Impact factor: 3.240

6.  Stereo camera based virtual cane system with identifiable distance tactile feedback for the blind.

Authors:  Donghun Kim; Kwangtaek Kim; Sangyoun Lee
Journal:  Sensors (Basel)       Date:  2014-06-13       Impact factor: 3.576

  6 in total

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