Face Detection and Object Recognition for a Retinal Prosthesis
| Autor: | Seth Billings, Kevin C. Wolfe, Kapil D. Katyal, Derek M. Rollend, Philippe Burlina, Paul E. Rosendall |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
business.industry
Visually impaired Computer science Cognitive neuroscience of visual object recognition Speech synthesis 02 engineering and technology 010501 environmental sciences computer.software_genre 01 natural sciences Domain (software engineering) Retinal Prosthesis 0202 electrical engineering electronic engineering information engineering Computer vision algorithms 020201 artificial intelligence & image processing Computer vision Artificial intelligence business Face detection Implementation computer 0105 earth and related environmental sciences |
| Zdroj: | Computer Vision – ACCV 2016 Workshops ISBN: 9783319544069 ACCV Workshops (1) |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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