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 more information, please refer to selected publications below. This work was supported by the Australian Research Council Special Research Initiative in Bionic Vision and Sciences (SRI 1000006).

Selected Publications

Transformative Reality: Augmented reality for visual prostheses
W. L. D. Lui, D. Browne, L. Kleeman, T. Drummond, and W. H. Li
Proceedings of the IEEE International Symposium on Mixed and Augmented Reality, Basel, Switzerland, 2011, pp. 253-254
DOI: http://dx.doi.org/10.1109/ISMAR.2011.6092402

Going beyond vision to improve bionic vision
W. H. Li, T. J. J. Tang, and W. L. D. Lui
Proceedings of the IEEE International Conference on Image Processing, Melbourne, Australia, 2013, pp. 1555-1558
DOI: hhttp://dx.doi.org/10.1109/ICIP.2013.6738320

Transformative Reality: Improving bionic vision with robotic sensing
W. L. D. Lui, D. Browne, L. Kleeman, T. Drummond, and W. H. Li
Proceedings of the International Conference of the IEEE Engineering in Medicine and Biology Society, CA, USA, 2012, pp. 304-307
DOI: http://dx.doi.org/10.1109/EMBC.2012.6345929

System and Method for Processing Sensor Data for the Visually Impaired
W. L. D. Lui, D. Browne, L. Kleeman, T. Drummond, and W. H. Li
iss. PCT/AU2012/001006, 2012