An intelligent fitting room using multi-camera perception

  • Authors:
  • Wei Zhang;Takashi Matsumoto;Juan Liu;Maurice Chu;Bo Begole

  • Affiliations:
  • Oregon State University, Corvallis, Oregon;Keio University, Fujisawa Kanagawa, Japan;PARC, Palo Alto, CA;PARC, Palo Alto, CA;PARC, Palo Alto, CA

  • Venue:
  • Proceedings of the 13th international conference on Intelligent user interfaces
  • Year:
  • 2008

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Abstract

In this paper, we describe the architecture of the vision system for the Responsive Mirror, a novel system for retail fitting rooms that enables online social fashion comparisons in physical stores based on multi-camera perception. This vision system provides implicitly controlled real-time interaction for "self" and "social" clothing comparisons by automatically tracking user's motion as she tries on clothes. We describe the key components of the motion-tracking and clothes-recognition systems and evaluate their effectiveness against images collected during a previous user study and a dataset of images representing content from a social fashion network.