Clothing Similarity Estimation Using Dominant Color Descriptor and SSIM Index

  • Piotr Czapiewski
  • Paweł Forczmański
  • Krzysztof Okarma
  • Dariusz Frejlichowski
  • Radosław Hofman
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 403)


This paper deals with the problem of estimating the similarity of clothing for the purpose of fashion-related e-commerce systems. The images presenting fashion models are segmented and analyzed in order to detect clothing characteristics. We propose a method based on human pose estimation and body parts segmentation, followed by the analysis of dominant color and structural similarity, independently for particular body segments. The algorithm can be utilized to perform clusterization or in the simpler case—to directly search for similar outfits. The experiments performed using 1800 real-life photos proved the applicability of the proposed approach.


Body Segment Dominant Color Color Descriptor SSIM Index Direct Retrieval 
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.



The project “Construction of innovative recommendation based on users’ styles system prototype: FireStyle” (original title: “Zbudowanie prototypu innowacyjnego systemu rekomendacji zgodnych ze stylami użytkowników: FireStyle”) is the project co-founded by European Union (project number: UDA-POIG.01.04.00-30-196/12, value: 14.949.474,00 PLN, EU contribution: 7.879.581,50 PLN, realization period: 01.2013-10.2014). European funds—for the development of innovative economy (Fundusze Europejskie—dla rozwoju innowacyjnej gospodarki).


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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Piotr Czapiewski
    • 1
  • Paweł Forczmański
    • 1
  • Krzysztof Okarma
    • 2
  • Dariusz Frejlichowski
    • 1
  • Radosław Hofman
    • 3
  1. 1.Faculty of Computer Science and Information TechnologyWest Pomeranian University of Technology, SzczecinSzczecinPoland
  2. 2.Faculty of Electrical EngineeringWest Pomeranian University of Technology, SzczecinSzczecinPoland
  3. 3.FireFrog Media sp. z o.o.PoznańPoland

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