Going beyond vision to improve bionic vision
Abstract
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.
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Introducing the Monash vision group's cortical prosthesis
Lowery, A. J. (2013) · 2013 IEEE International Conference on Image Processing · doi:10.1109/icip.2013.6738316 · Cited by 45 · see citing works
Mann, S. (1999) · Linux journal · Cited by 30 · see citing works
Transformative Reality: Improving bionic vision with robotic sensing
Lui, W. L. D., Browne, D., Kleeman, L., Drummond, T., & Li, W. H. (2012) · 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society · doi:10.1109/embc.2012.6345929 · Cited by 23 · see citing works
Self-citationRobust egomotion estimation using ICP in inverse depth coordinates
Lui, W. L. D., Tang, T., Drummond, T. W., et al. (2012) · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · doi:10.1109/icra.2012.6225354 · Cited by 17 · see citing works
Self-citationPsychophysics testing of bionic vision image processing algorithms using an FPGA Hatpack
Josh, H., Mann, C., Kleeman, L., & Lui, W. L. D. (2013) · Proceedings - International Conference on Image Processing · doi:10.1109/icip.2013.6738319 · Cited by 13 · see citing works
Self-citationTransformative reality: Augmented reality for visual prostheses
Lui, W. L. D., Browne, D., Kleeman, L., Drummond, T., & Li, W. H. (2011) · 2011 10th IEEE International Symposium on Mixed and Augmented Reality · doi:10.1109/ismar.2011.6092402 · Cited by 12 · see citing works
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Introducing the Monash vision group's cortical prosthesis
Lowery, A. J. (2013) · 2013 IEEE International Conference on Image Processing · doi:10.1109/icip.2013.6738316 · Cited by 45 · see citing works
Visual Prostheses in the Era of Artificial Intelligence Technology
Sarbout, I., Gungor, A., Ounissi, M., Zaher, S., Ptito, M., Kupers, R., Racoceanu, D., & Milea, D. (2025) · Eye and Brain · doi:10.2147/eb.s524322 · Cited by 3 · see citing works
“Of these, 14 relied on highly simplified representations using symmetrical phosphenes.”
- Authors
- Li, W. H., Tang, T. J. J., & Lui, W. L. D.
- Affiliations
- Monash Vision Group, Melbourne, Australia
- Venue
- 2013 IEEE International Conference on Image Processing
- Publisher
- IEEE
- Published
- 2013-09
- Pages
- 1555-1558
- ISSN
- 1522-4880 (ISSN-L)
- OpenAlex
- W2024863058
- Cited by
- 7
- References
- 6
- Citations by year
- 2025: 1 · 2018: 1 · 2016: 1 · 2015: 1 · 2013: 3
- FWCI
- 4.44
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- Proceedings - International Conference on Image Processing (publishedVersion)
- Topics
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neural Engineering
- Life Sciences › Neuroscience › Cognitive Neuroscience › Tactile and Sensory Interactions
- Life Sciences › Neuroscience › Cognitive Neuroscience › EEG and Brain-Computer Interfaces
- Keywords
- bionic vision, visual prosthetics, image processing, robot sensing, multi-sensor fusion, spatial resolution, dynamic range
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