An assistive vision system for the blind that helps find lost things

Authors:
Boris Schauerte;Manel Martinez;Angela Constantinescu;Rainer Stiefelhagen
Affiliations:
Institute for Anthropomatics, Karlsruhe Institute of Technology, Germany;Institute for Anthropomatics, Karlsruhe Institute of Technology, Germany;Study Center for the Visually Impaired Students, Karlsruhe Institute of Technology, Karlsruhe, Germany;Institute for Anthropomatics, Karlsruhe Institute of Technology, Germany,Study Center for the Visually Impaired Students, Karlsruhe Institute of Technology, Karlsruhe, Germany
Venue:
ICCHP'12 Proceedings of the 13th international conference on Computers Helping People with Special Needs - Volume Part II
Year:
2012

Citing 4
Cited 0

Design and development of an indoor navigation and object identification system for the blind

Assets '04 Proceedings of the 6th international ACM SIGACCESS conference on Computers and accessibility
Local invariant feature detectors: a survey

Foundations and Trends® in Computer Graphics and Vision
Web-Based Learning of Naturalized Color Models for Human-Machine Interaction

DICTA '10 Proceedings of the 2010 International Conference on Digital Image Computing: Techniques and Applications
The MOPED framework: Object recognition and pose estimation for manipulation

International Journal of Robotics Research

Quantified Score

Hi-index	0.00

Visualization

Abstract

We present a computer vision system that helps blind people find lost objects. To this end, we combine color- and SIFT-based object detection with sonification to guide the hand of the user towards potential target object locations. This way, we are able to guide the user's attention and effectively reduce the space in the environment that needs to be explored. We verified the suitability of the proposed system in a user study.