Embedded clutter reduction and face detection algorithms for a visual prosthesis

Derek M. Rollend, Paul E. Rosendall, Kevin C. Wolfe, Dean M. Kleissas, Seth D. Billings, Jonathan M. Oben, John B. Helder, Francesco V. Tenore, Philippe Burlina, Arup Roy, Robert Greenberg, Kapil D. Katyal

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Retinal prosthetic devices can significantly and positively impact the ability of visually challenged individuals to live a more independent life. We describe a visual processing system which leverages image analysis techniques to produce visual patterns and allows the user to more effectively perceive their environment. These patterns are used to stimulate a retinal prosthesis to allow self guidance and a higher degree of autonomy for the affected individual. Specifically, we describe an image processing pipeline that allows for object and face localization in cluttered environments as well as various contrast enhancement strategies in the 'implanted image.' Finally, we describe a real-time implementation and deployment of this system on the Argus II platform. We believe that these advances can significantly improve the effectiveness of the next generation of retinal prostheses.

Original languageEnglish (US)
Title of host publication2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages411-414
Number of pages4
Volume2016-October
ISBN (Electronic)9781457702204
DOIs
StatePublished - Oct 13 2016
Event38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016 - Orlando, United States
Duration: Aug 16 2016Aug 20 2016

Other

Other38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016
CountryUnited States
CityOrlando
Period8/16/168/20/16

Fingerprint

Visual Prosthesis
Face recognition
Prosthetics
Image analysis
Image processing
Pipelines
Equipment and Supplies
Processing
Prostheses and Implants

ASJC Scopus subject areas

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics

Cite this

Rollend, D. M., Rosendall, P. E., Wolfe, K. C., Kleissas, D. M., Billings, S. D., Oben, J. M., ... Katyal, K. D. (2016). Embedded clutter reduction and face detection algorithms for a visual prosthesis. In 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016 (Vol. 2016-October, pp. 411-414). [7590727] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/EMBC.2016.7590727

Embedded clutter reduction and face detection algorithms for a visual prosthesis. / Rollend, Derek M.; Rosendall, Paul E.; Wolfe, Kevin C.; Kleissas, Dean M.; Billings, Seth D.; Oben, Jonathan M.; Helder, John B.; Tenore, Francesco V.; Burlina, Philippe; Roy, Arup; Greenberg, Robert; Katyal, Kapil D.

2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016. Vol. 2016-October Institute of Electrical and Electronics Engineers Inc., 2016. p. 411-414 7590727.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Rollend, DM, Rosendall, PE, Wolfe, KC, Kleissas, DM, Billings, SD, Oben, JM, Helder, JB, Tenore, FV, Burlina, P, Roy, A, Greenberg, R & Katyal, KD 2016, Embedded clutter reduction and face detection algorithms for a visual prosthesis. in 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016. vol. 2016-October, 7590727, Institute of Electrical and Electronics Engineers Inc., pp. 411-414, 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016, Orlando, United States, 8/16/16. https://doi.org/10.1109/EMBC.2016.7590727
Rollend DM, Rosendall PE, Wolfe KC, Kleissas DM, Billings SD, Oben JM et al. Embedded clutter reduction and face detection algorithms for a visual prosthesis. In 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016. Vol. 2016-October. Institute of Electrical and Electronics Engineers Inc. 2016. p. 411-414. 7590727 https://doi.org/10.1109/EMBC.2016.7590727
Rollend, Derek M. ; Rosendall, Paul E. ; Wolfe, Kevin C. ; Kleissas, Dean M. ; Billings, Seth D. ; Oben, Jonathan M. ; Helder, John B. ; Tenore, Francesco V. ; Burlina, Philippe ; Roy, Arup ; Greenberg, Robert ; Katyal, Kapil D. / Embedded clutter reduction and face detection algorithms for a visual prosthesis. 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016. Vol. 2016-October Institute of Electrical and Electronics Engineers Inc., 2016. pp. 411-414
@inproceedings{dca3a2a293b94b82ad46729b3f9371c2,
title = "Embedded clutter reduction and face detection algorithms for a visual prosthesis",
abstract = "Retinal prosthetic devices can significantly and positively impact the ability of visually challenged individuals to live a more independent life. We describe a visual processing system which leverages image analysis techniques to produce visual patterns and allows the user to more effectively perceive their environment. These patterns are used to stimulate a retinal prosthesis to allow self guidance and a higher degree of autonomy for the affected individual. Specifically, we describe an image processing pipeline that allows for object and face localization in cluttered environments as well as various contrast enhancement strategies in the 'implanted image.' Finally, we describe a real-time implementation and deployment of this system on the Argus II platform. We believe that these advances can significantly improve the effectiveness of the next generation of retinal prostheses.",
author = "Rollend, {Derek M.} and Rosendall, {Paul E.} and Wolfe, {Kevin C.} and Kleissas, {Dean M.} and Billings, {Seth D.} and Oben, {Jonathan M.} and Helder, {John B.} and Tenore, {Francesco V.} and Philippe Burlina and Arup Roy and Robert Greenberg and Katyal, {Kapil D.}",
year = "2016",
month = "10",
day = "13",
doi = "10.1109/EMBC.2016.7590727",
language = "English (US)",
volume = "2016-October",
pages = "411--414",
booktitle = "2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016",
publisher = "Institute of Electrical and Electronics Engineers Inc.",

}

TY - GEN

T1 - Embedded clutter reduction and face detection algorithms for a visual prosthesis

AU - Rollend, Derek M.

AU - Rosendall, Paul E.

AU - Wolfe, Kevin C.

AU - Kleissas, Dean M.

AU - Billings, Seth D.

AU - Oben, Jonathan M.

AU - Helder, John B.

AU - Tenore, Francesco V.

AU - Burlina, Philippe

AU - Roy, Arup

AU - Greenberg, Robert

AU - Katyal, Kapil D.

PY - 2016/10/13

Y1 - 2016/10/13

N2 - Retinal prosthetic devices can significantly and positively impact the ability of visually challenged individuals to live a more independent life. We describe a visual processing system which leverages image analysis techniques to produce visual patterns and allows the user to more effectively perceive their environment. These patterns are used to stimulate a retinal prosthesis to allow self guidance and a higher degree of autonomy for the affected individual. Specifically, we describe an image processing pipeline that allows for object and face localization in cluttered environments as well as various contrast enhancement strategies in the 'implanted image.' Finally, we describe a real-time implementation and deployment of this system on the Argus II platform. We believe that these advances can significantly improve the effectiveness of the next generation of retinal prostheses.

AB - Retinal prosthetic devices can significantly and positively impact the ability of visually challenged individuals to live a more independent life. We describe a visual processing system which leverages image analysis techniques to produce visual patterns and allows the user to more effectively perceive their environment. These patterns are used to stimulate a retinal prosthesis to allow self guidance and a higher degree of autonomy for the affected individual. Specifically, we describe an image processing pipeline that allows for object and face localization in cluttered environments as well as various contrast enhancement strategies in the 'implanted image.' Finally, we describe a real-time implementation and deployment of this system on the Argus II platform. We believe that these advances can significantly improve the effectiveness of the next generation of retinal prostheses.

UR - http://www.scopus.com/inward/record.url?scp=85009096967&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85009096967&partnerID=8YFLogxK

U2 - 10.1109/EMBC.2016.7590727

DO - 10.1109/EMBC.2016.7590727

M3 - Conference contribution

VL - 2016-October

SP - 411

EP - 414

BT - 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016

PB - Institute of Electrical and Electronics Engineers Inc.

ER -