Skip navigation
Skip navigation
Open Research will be down for maintenance between 8:00 and 8:15 am on Tuesday, December 1 2020.

A Salient Information Processing System for Bionic Eye with Application to Obstacle Avoidance

Stacey, Ashley; LI, Yi; Barnes, Nick

Description

In this paper we present a visual processing system for bionic eye with a focus on obstacle avoidance. Bionic eye aims at restoring the sense of vision to people living with blindness and low vision. However, current hardware implant technology limits the image resolution of the electrical stimulation device to be very low (e.g., 100 electrode arrays, which is approx. 12 × 9 pixels). Therefore, we need a visual processing unit that extracts salient information in an unknown environment for...[Show more]

dc.contributor.authorStacey, Ashley
dc.contributor.authorLI, Yi
dc.contributor.authorBarnes, Nick
dc.coverage.spatialBoston USA
dc.date.accessioned2015-12-10T23:11:44Z
dc.date.createdAugust 30-September 3 2011
dc.identifier.urihttp://hdl.handle.net/1885/63825
dc.description.abstractIn this paper we present a visual processing system for bionic eye with a focus on obstacle avoidance. Bionic eye aims at restoring the sense of vision to people living with blindness and low vision. However, current hardware implant technology limits the image resolution of the electrical stimulation device to be very low (e.g., 100 electrode arrays, which is approx. 12 × 9 pixels). Therefore, we need a visual processing unit that extracts salient information in an unknown environment for assisting patients in daily tasks such as obstacle avoidance. We implemented a fully portable system that includes a camera for capturing videos, a laptop for processing information using a state-of-the-art saliency detection algorithm, and a head-mounted display to visualize results. The experimental environment consists of a number of objects, such as shoes, boxes, and foot stands, on a textured ground plane. Our results show that the system efficiently processes the images, effectively identifies the obstacles, and eventually provides useful information for obstacle avoidance.
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE Inc)
dc.relation.ispartofseriesIEEE International Conference of the Engineering in Medicine and Biology Society (EMBS 2011)
dc.sourceAnnual Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2011) proceedings
dc.subjectKeywords: algorithm; article; automated pattern recognition; computer assisted diagnosis; computer interface; equipment; human; image enhancement; information retrieval; instrumentation; methodology; prosthesis; reproducibility; sensitivity and specificity; three d
dc.titleA Salient Information Processing System for Bionic Eye with Application to Obstacle Avoidance
dc.typeConference paper
local.description.notesImported from ARIES
local.description.refereedYes
dc.date.issued2011
local.identifier.absfor080104 - Computer Vision
local.identifier.ariespublicationu4334215xPUB852
local.type.statusPublished Version
local.contributor.affiliationStacey, Ashley, College of Engineering and Computer Science, ANU
local.contributor.affiliationLI, Yi, College of Engineering and Computer Science, ANU
local.contributor.affiliationBarnes, Nick, College of Engineering and Computer Science, ANU
local.description.embargo2037-12-31
local.bibliographicCitation.startpage1
local.bibliographicCitation.lastpage4
local.identifier.doi10.1109/IEMBS.2011.6091267
local.identifier.absseo920107 - Hearing, Vision, Speech and Their Disorders
dc.date.updated2016-02-24T11:03:32Z
local.identifier.scopusID2-s2.0-84862293802
CollectionsANU Research Publications

Download

File Description SizeFormat Image
01_Stacey_A_Salient_Information_2011.pdf1.35 MBAdobe PDF    Request a copy


Items in Open Research are protected by copyright, with all rights reserved, unless otherwise indicated.

Updated:  19 May 2020/ Responsible Officer:  University Librarian/ Page Contact:  Library Systems & Web Coordinator