Face detection and object recognition for a retinal prosthesis

Derek Rollend, Paul Rosendall, Seth Billings, Philippe Burlina, Kevin Wolfe, Kapil Katyal

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We describe the recent development of assistive computer vision algorithms for use with the Argus II retinal prosthesis system. While users of the prosthetic system can learn and adapt to the limited stimulation resolution, there exists great potential for computer vision algorithms to augment the experience and significantly increase the utility of the system for the user. To this end, our recent work has focused on helping with two different challenges encountered by the visually impaired: face detection and object recognition. In this paper, we describe algorithm implementations in both of these areas that make use of the retinal prosthesis for visual feedback to the user, and discuss the unique challenges faced in this domain.

Original languageEnglish (US)
Title of host publicationComputer Vision - ACCV 2016 Workshops - ACCV 2016 International Workshops, Revised Selected Papers
PublisherSpringer Verlag
Pages303-313
Number of pages11
ISBN (Print)9783319544069
DOIs
StatePublished - Jan 1 2017
Event13th Asian Conference on Computer Vision, ACCV 2016 - Taipei, Taiwan, Province of China
Duration: Nov 20 2016Nov 24 2016

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10116 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other13th Asian Conference on Computer Vision, ACCV 2016
CountryTaiwan, Province of China
City Taipei
Period11/20/1611/24/16

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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