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Intelligent Assistant for People with Low Vision Abilities

2017-11-20 · PSIVT 2017 11 · Oleksandr Bogdan, Oleg Yurchenko, Oleksandr Bailo, Francois Rameau, Donggeun Yoo, In So Kweon

This paper proposes a wearable system for visually impaired people that can be utilized to obtain an extensive feedback about their surrounding environment. Our system consists of a stereo camera and smartglasses, communicating with a smartphone that is used as an intermediary computational device. Furthermore, the system is connected to a server where all the expensive computations are executed. The whole setup is capable of detecting obstacles in the nearest surrounding, recognizing faces and facial expressions, reading texts, providing a generic description and question answering of a particular input image. In addition , we propose a novel depth question answering system to estimate object size as well as objects relative position in an unconstrained environment in near real-time and in a fully automatic way requiring only stereo image pair and voice request as an input. We have conducted a series of experiments to evaluate the feasibility and practicality of the proposed system which shows promising results to assist visually impaired people.

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BAILOOL/Assistant-for-People-with-Low-Vision tf

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Question Answering

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