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2016

Face Detection and Object Recognition for a Retinal Prosthesis


Abstract

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.

Citation

@incollectionRollend_2017 doi: 10.1007/978-3-319-54407-6_20 url: https://doi.org/10.1007/978-3-319-54407-6_20 year: 2017 publisher: Springer International Publishing pages: 303--313 author: Rollend Derek and Rosendall Paul and Billings Seth and Burlina Philippe and Wolfe Kevin and Katyal Kapil title: Face Detection and Object Recognition for a Retinal Prosthesis booktitle: Computer Vision \textendash ACCV 2016 Workshops

Citation

@incollectionRollend_2017 doi: 10.1007/978-3-319-54407-6_20 url: https://doi.org/10.1007/978-3-319-54407-6_20 year: 2017 publisher: Springer International Publishing pages: 303--313 author: Rollend Derek and Rosendall Paul and Billings Seth and Burlina Philippe and Wolfe Kevin and Katyal Kapil title: Face Detection and Object Recognition for a Retinal Prosthesis booktitle: Computer Vision \textendash ACCV 2016 Workshops