Learning apparel/footwear recommendations from body/foot scans

Masterarbeit (oder Diplomarbeit)

The goal of this thesis is to implement a decision engine that recommends the best fitting products based on a 3D body or foot scan of the customer.
The thesis consists of three parts:

    • First, different statistical representations ("morphable models”) for human body shapes have to be evaluated to identify the most suitable for the task.
    • In the second step, a user study will be conducted where people are scanned and asked to try on different products and to evaluate the fit of these products.
    • Finally, the collected data will be used to learn and to validate a function that predicts the fit of the products from the scanned body shape.

Betreuer


Learning apparel/footwear recommendations from body/foot scans