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Proceedings Paper • new

iSight: computer vision based system to assist low vision
Author(s): Lynne Grewe; Archana Kashyap; Krishnan Chandran; Allen Shahshahani; Jake Shahshahani
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Paper Abstract

iSight is a mobile application to assist low vision people with the everyday task of sight. Specifically, the goal of the system is using 2D computer vision to refocus and visualize specific objects recognized in the image in an Augmented Reality scheme. This paper discusses the development of the application that uses a deep learning TensorFlow module to perform recognition of objects in the scene the user is looking at and consequently directs the formation of an augmented reality scene which is presented to the user to enhance their visual understanding. Both indoor and outdoor environments are tested and results are given. The success and challenges faced by iSight are presented along with future avenues of work.

Paper Details

Date Published: 27 April 2018
PDF: 8 pages
Proc. SPIE 10646, Signal Processing, Sensor/Information Fusion, and Target Recognition XXVII, 1064613 (27 April 2018); doi: 10.1117/12.2305233
Show Author Affiliations
Lynne Grewe, California State Univ., East Bay (United States)
Archana Kashyap, California State Univ., East Bay (United States)
Krishnan Chandran, California State Univ., East Bay (United States)
Allen Shahshahani, California State Univ., East Bay (United States)
Jake Shahshahani, California State Univ., East Bay (United States)


Published in SPIE Proceedings Vol. 10646:
Signal Processing, Sensor/Information Fusion, and Target Recognition XXVII
Ivan Kadar, Editor(s)

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