Going beyond vision to improve bionic vision

Wai Ho Li, Titus Jia Jie Tang, Wen Lik Dennis Lui

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6 Citations (Scopus)


Currently, most implanted visual prosthetic systems generate vision by translating sensor data from a headworn camera into electrical stimulation of the human vision system. Unfortunately, the resulting bionic vision has low spatial resolution and limited dynamic range. This dramatically reduces the usefulness of bionic vision in many real world scenarios. Historically, this problem is treated as immutable pathology. Recently, image processing has been proposed as a potential remedy to improve the useability of bionic vision. We explore another alternative: Combining multiple sensing modalities and robotic sensing algorithms. This paper gives a top level summary of ongoing research exploring this alternative.
Original languageEnglish
Title of host publication2013 IEEE International Conference on Image Processing Proceedings
EditorsDavid Taubman, Min Wu
Place of PublicationPiscataway NJ United States of America
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages1555 - 1558
Number of pages4
ISBN (Print)9781479923410
Publication statusPublished - 2013
EventIEEE International Conference on Image Processing 2013 - Melbourne Convention and Exhibition Centre (MCEC), Melbourne, Australia
Duration: 15 Sep 201318 Sep 2013
Conference number: 20th
http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=6726158 (IEEE Conference Proceedings)


ConferenceIEEE International Conference on Image Processing 2013
Abbreviated titleICIP 2013
Internet address

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