NDLI: Transformative reality: Augmented reality for visual prostheses

Content Provider	IEEE Xplore Digital Library
Author	Lui, Wen Lik Dennis Browne, Damien Kleeman, Lindsay Drummond, Tom Li, Wai Ho
Copyright Year	2011
Description	Author affiliation: ECSE and Monash Vision Group, Monash University, Australia (Lui, Wen Lik Dennis; Browne, Damien; Kleeman, Lindsay; Drummond, Tom; Li, Wai Ho)
Abstract	Visual prostheses such as retinal implants provide bionic vision that is limited in spatial and intensity resolution. This limitation is a fundamental challenge of bionic vision as it severely truncates salient visual information. We propose to address this challenge by performing real time transformations of visual and non-visual sensor data into symbolic representations that are then rendered as low resolution vision; a concept we call Transformative Reality. For example, a depth camera allows the detection of empty ground in cluttered environments that is then visually rendered as bionic vision to enable indoor navigation. Such symbolic representations are similar to virtual content overlays used in Augmented Reality but are registered to the 3D world via the user's sense of touch. Preliminary user trials, where a head mounted display artificially constrains vision to a 25×25 grid of binary dots, suggest that Transformative Reality provides practical and significant improvements over traditional bionic vision in tasks such as indoor navigation, object localisation and people detection.
Starting Page	253
Ending Page	254
File Size	2933678
Page Count	2
File Format	PDF
ISBN	9781457721830
e-ISBN	9781457721854
e-ISBN	9781457721847
DOI	10.1109/ISMAR.2011.6092402
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-10-26
Publisher Place	Switzerland
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Visualization Image edge detection Biomedical imaging Rendering (computer graphics) Real time systems Spatial resolution Cameras
Content Type	Text
Resource Type	Article

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