TY - GEN
T1 - Face detection and object recognition for a retinal prosthesis
AU - Rollend, Derek
AU - Rosendall, Paul
AU - Billings, Seth
AU - Burlina, Philippe
AU - Wolfe, Kevin
AU - Katyal, Kapil
N1 - Funding Information:
This work was supported by an Alfred E. Mann collaboration grant. We would also like to thank Arup Roy, Avi Caspi, and Robert Greenberg, our collaborators from Second Sight Medical Products.
Publisher Copyright:
© Springer International Publishing AG 2017.
PY - 2017
Y1 - 2017
N2 - We describe the recent development of assistive computer vision algorithms for use with the Argus II retinal prosthesis system. While users of the prosthetic system can learn and adapt to the limited stimulation resolution, there exists great potential for computer vision algorithms to augment the experience and significantly increase the utility of the system for the user. To this end, our recent work has focused on helping with two different challenges encountered by the visually impaired: face detection and object recognition. In this paper, we describe algorithm implementations in both of these areas that make use of the retinal prosthesis for visual feedback to the user, and discuss the unique challenges faced in this domain.
AB - We describe the recent development of assistive computer vision algorithms for use with the Argus II retinal prosthesis system. While users of the prosthetic system can learn and adapt to the limited stimulation resolution, there exists great potential for computer vision algorithms to augment the experience and significantly increase the utility of the system for the user. To this end, our recent work has focused on helping with two different challenges encountered by the visually impaired: face detection and object recognition. In this paper, we describe algorithm implementations in both of these areas that make use of the retinal prosthesis for visual feedback to the user, and discuss the unique challenges faced in this domain.
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U2 - 10.1007/978-3-319-54407-6_20
DO - 10.1007/978-3-319-54407-6_20
M3 - Conference contribution
AN - SCOPUS:85016205947
SN - 9783319544069
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 303
EP - 313
BT - Computer Vision - ACCV 2016 Workshops - ACCV 2016 International Workshops, Revised Selected Papers
A2 - Lu, Jiwen
A2 - Ma, Kai-Kuang
A2 - Chen, Chu-Song
PB - Springer Verlag
T2 - 13th Asian Conference on Computer Vision, ACCV 2016
Y2 - 20 November 2016 through 24 November 2016
ER -