research-article

An intelligent fitting room using multi-camera perception

Authors:

Takashi Matsumoto,

Bo BegoleAuthors Info & Claims

IUI '08: Proceedings of the 13th international conference on Intelligent user interfaces

Pages 60 - 69

https://doi.org/10.1145/1378773.1378782

Published: 13 January 2008 Publication History

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.

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Cited By

Nayak PPratham RGupta S(2025)SMART FIT- Elevating Fashion with Image ProcessingComputing Technologies for Sustainable Development10.1007/978-3-031-82383-1_25(321-329)Online publication date: 15-Feb-2025
https://doi.org/10.1007/978-3-031-82383-1_25
Zagel C(2023)Consumer Experience Through the Use of Mixed Reality in Shopping EnvironmentsMultisensory in Stationary Retail10.1007/978-3-658-38227-8_14(201-214)Online publication date: 8-Feb-2023
https://doi.org/10.1007/978-3-658-38227-8_14
Zagel C(2021)Consumer Experience durch Einsatz von Mixed Reality in EinkaufsumgebungenMultisensorik im stationären Handel10.1007/978-3-658-31273-2_14(221-235)Online publication date: 5-Jan-2021
https://doi.org/10.1007/978-3-658-31273-2_14
Show More Cited By

Index Terms

An intelligent fitting room using multi-camera perception
1. Human-centered computing

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cover image ACM Conferences

IUI '08: Proceedings of the 13th international conference on Intelligent user interfaces

January 2008

458 pages

ISBN:9781595939876

DOI:10.1145/1378773

General Chair:
Steffen Staab
Universitat Koblenz-Landau, Germany

Copyright © 2008 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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SIGAI: ACM Special Interest Group on Artificial Intelligence
ACM: Association for Computing Machinery
SIGCHI: ACM Special Interest Group on Computer-Human Interaction
AAAI: Association for the Advancement of Artifical Intelligence

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 13 January 2008

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IUI08

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IUI08: 13th International Conference on Intelligent User Interfaces

January 13 - 16, 2008

Gran Canaria, Spain

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Overall Acceptance Rate 746 of 2,811 submissions, 27%

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30th International Conference on Intelligent User Interfaces

March 24 - 27, 2025

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Cited By

Nayak PPratham RGupta S(2025)SMART FIT- Elevating Fashion with Image ProcessingComputing Technologies for Sustainable Development10.1007/978-3-031-82383-1_25(321-329)Online publication date: 15-Feb-2025
https://doi.org/10.1007/978-3-031-82383-1_25
Zagel C(2023)Consumer Experience Through the Use of Mixed Reality in Shopping EnvironmentsMultisensory in Stationary Retail10.1007/978-3-658-38227-8_14(201-214)Online publication date: 8-Feb-2023
https://doi.org/10.1007/978-3-658-38227-8_14
Zagel C(2021)Consumer Experience durch Einsatz von Mixed Reality in EinkaufsumgebungenMultisensorik im stationären Handel10.1007/978-3-658-31273-2_14(221-235)Online publication date: 5-Jan-2021
https://doi.org/10.1007/978-3-658-31273-2_14
Mora Hernandez DNalbach OWerth D(2019)How Computer Vision Provides Physical Retail with a Better View on Customers2019 IEEE 21st Conference on Business Informatics (CBI)10.1109/CBI.2019.00060(462-471)Online publication date: Jul-2019
https://doi.org/10.1109/CBI.2019.00060
Yousuf SSajid HPoon SKhushi M(2019)IMDB-Attire: A Novel Dataset for Attire Detection and LocalizationNeural Information Processing10.1007/978-3-030-36711-4_46(543-553)Online publication date: 9-Dec-2019
https://doi.org/10.1007/978-3-030-36711-4_46
Hidayati SYou CCheng WHua K(2018)Learning and Recognition of Clothing Genres From Full-Body ImagesIEEE Transactions on Cybernetics10.1109/TCYB.2017.271263448:5(1647-1659)Online publication date: May-2018
https://doi.org/10.1109/TCYB.2017.2712634
Bork FBarmaki REck UYu KSandor CNavab N(2017)Empirical Study of Non-Reversing Magic Mirrors for Augmented Reality Anatomy Learning2017 IEEE International Symposium on Mixed and Augmented Reality (ISMAR)10.1109/ISMAR.2017.33(169-176)Online publication date: Oct-2017
https://doi.org/10.1109/ISMAR.2017.33
Birliraki CMargetis GPatsiouras NDrossis GStephanidis C(2016)Enhancing the Customers’ Experience Using an Augmented Reality MirrorHCI International 2016 – Posters' Extended Abstracts10.1007/978-3-319-40542-1_77(479-484)Online publication date: 22-Jun-2016
https://doi.org/10.1007/978-3-319-40542-1_77
Jabeen FMuhammad AMartinez Enriquez A(2015)Feed forward neural network training based interactive shopping for blind2015 12th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE)10.1109/ICEEE.2015.7357975(1-6)Online publication date: Oct-2015
https://doi.org/10.1109/ICEEE.2015.7357975
Yan YYe JZhu XLi J(2014)Animation of Refitted 3D Garment Models for Reshaped BodiesProceedings of the 2014 International Conference on Virtual Reality and Visualization10.1109/ICVRV.2014.23(58-64)Online publication date: 30-Aug-2014
https://dl.acm.org/doi/10.1109/ICVRV.2014.23
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