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An intelligent fitting room using multi-camera perception


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.

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Zhang, W.; Matsumoto, T.; Liu, J. J. ; Chu, M. ; Begole, J. An intelligent fitting room using multi-camera perception. International Conference on Intelligent User Interfaces (IUI 2008); 2008 January 13-16; Canary Islands, Spain. NY: ACM; 2008; 60-69.


Copyright © ACM, 2008. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in IUI 2008 http://doi.acm.org/10.1145/1378773.1378782