Can I read Marker-based Image Recognition of Dynamic Content for the Visually Impaired on EtoBox?

Marker-based Image Recognition of Dynamic Content for the Visually Impaired by Andréa Britto Mattos, Carlos Cardonha, Diego Gallo, Priscilla Avegliano, Ricardo Herrmann, and Sergio Borger is a scholarly article available to read on EtoBox.

What is Marker-based Image Recognition of Dynamic Content for the Visually Impaired about?

The access to information displayed in public spaces is a challenge faced by visually impaired people for which image processing techniques have the potential to deliver satisfac tory solutions. However, object recognition algorithms must initially locate possible candidates in the images, which is a hard task in complex scenes. In this article, we introduce an image processing technique that relies on the incorporation of markers to panels and boards with fixed layouts display ing dynamic content. The markers allow: a) locating the objects to be recognized; b) correcting perspective in the input images; c) limiting the training set size for supervised learning; and d) guiding the visually impaired by indicating how they should position their devices for adequate pictures. The proposed technique can be used for automatic recogni tion of texts and images and is suitable for deployment on mobile devices, providing more independence to the citizens. Results of preliminary tests on vending machines show that this method is robust enough to be used in practice.

Author

Andréa Britto Mattos, Carlos Cardonha, Diego Gallo, Priscilla Avegliano, Ricardo Herrmann, and Sergio Borger

Publisher

ACM

Published

2014

Language

EN