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A system of clothes matching for visually impaired persons

Published:25 October 2010Publication History

ABSTRACT

Choosing clothes is a challenge task for blind people. In this paper, we propose a proof of concept system to match a pair of image from different clothes for both pattern and color. Our system consists of 1) a camera and a computer to perform color detection, pattern and color matching process; 2) supporting speech commands to flexibly control and configure; and 3) audio feedbacks to provide matching results of both color and pattern. The system can deal with clothes in uniform color without any pattern, as well as clothes with multiple colors and complex patterns. Furthermore, our method is robust to variations of illumination, clothes rotation, and clothes wrinkles. The proposed method is evaluated on two challenge databases of clothes. Experimental results demonstrate the robustness and effectiveness on clothes matching.

References

  1. "10 facts about blindness and visual impairment", World Health Organization: Blindness and visual impairment, 2009. http://www.who.int/features/factfiles/blindness/blindness_facts/en/index.html.Google ScholarGoogle Scholar
  2. M. A. Akhloufi, W. Ben Larbi and X. Maldague, "Framework for color-texture classification in machine vision inspection of industrial products", IEEE International Conference on System, Man, and Cybernetic, 2007, pp. 1067--1071.Google ScholarGoogle Scholar
  3. M. N. Do and M. Vetterli, "Rotation invariant characterization and retrieval using steerable wavelet-domain Hidden Markov Models," IEEE Trans. Multimedia, vol. 4, no. 4, pp. 517--526, Dec. 2002. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. http://www.disabledworld.com/assistivedevices/visual/talking-color-detectors.Google ScholarGoogle Scholar

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    • Published in

      cover image ACM Conferences
      ASSETS '10: Proceedings of the 12th international ACM SIGACCESS conference on Computers and accessibility
      October 2010
      346 pages
      ISBN:9781605588810
      DOI:10.1145/1878803

      Copyright © 2010 Copyright is held by the author/owner(s)

      Publisher

      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 25 October 2010

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      Overall Acceptance Rate436of1,556submissions,28%

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