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Stereovision System for Visually Impaired

  • Rafal Kozik
Part of the Advances in Intelligent and Soft Computing book series (AINSC, volume 95)

Abstract

Nowadays the problem of BVIPs (Blind and Visually Impaired Persons) social exclusion arises to one of the major problems of modern society. It is usually framed in terms of accessibility to services like shops, theaters or cafeterias. The disability is main barrier both for fully and partially blinded to become an active members of society. However, thanks to growing progress in computer vision together with increasing power of portable devices new opportunities and solutions appear. Nearly real-time vision-based algorithms and knowledge-based systems start to help visually impaired during daily activities increasing social inclusion. New solutions for people with vision impairment are dedicated to support the user during the decision process, giving the information about obstacles located in the environment. However, in many cases this information is still not enough for blind person to have full situational awareness. Therefore the solution presented in this paper engages the stereo camera and image processing algorithms to facilitate its user with object detection and recognition mechanisms. The risk assessment based on ontology problem modeling allows to handle the risk, predict possible user’s moves and provide the user with appropriate set of suggestions that will eliminate or reduce the discovered risk.

Keywords

Stereo Match Blind Person Depth Discontinuity Stereovision System Surf Descriptor 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Rafal Kozik
    • 1
  1. 1.Institute of TelecommunicationsUniversity of Technology & Life SciencesBydgoszczPoland

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