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Applying an eMASS Customization Program as a Research Tool to Evaluate Consumer Benefits
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Garment personalization via identity transfer.

Roy Shilkrot, Daniel Cohen-Or, Ariel Shamir

    IEEE Computer Graphics and Applications
    |May 9, 2014
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces a virtual try-on system that clones a user's head onto models wearing desired clothing. Advanced image segmentation and body warping create realistic virtual try-on experiences for online shoppers.

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    Area of Science:

    • Computer Vision
    • Image Processing
    • Virtual Reality

    Background:

    • Online retail lacks realistic virtual try-on experiences.
    • Current methods struggle with accurate user image integration into garment catalogs.

    Purpose of the Study:

    • To develop a novel system for virtual clothing try-on.
    • To enable users to visualize themselves in garments realistically.

    Main Methods:

    • User head cloning via offline training and image segmentation (three-kernel statistical model, graph cuts).
    • Skin color adjustment and head relighting using statistical models and spherical harmonics.
    • Parametric body model for warping dimensions to match user's physique.

    Main Results:

    • High-quality compositions of user images with garments.
    • Accurate separation of facial features and background.
    • Realistic integration of user's head onto different body types.

    Conclusions:

    • The system offers a significant advancement in virtual try-on technology.
    • Enables a more immersive and personalized online shopping experience.
    • Potential to reduce return rates and improve customer satisfaction.