Virtual Clothing Try-On via Depth Imaging Avatars
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Solution Overview
Problem
Electronic marketplaces are limited in their ability to help customers determine the best fit of clothing items as they cannot be 'tried on' virtually, leading to inefficiencies such as multiple purchases and returns, and increased costs for the marketplace due to fluctuating inventory and shipping expenses.
Innovation Solution
The system captures imaging data from customers using depth sensing cameras to generate avatars that accurately represent their physical characteristics, allowing virtual representations of clothing to be displayed on these avatars, predicting how the clothing will look and fit, enabling customers to make informed decisions without physical trials.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If customers order multiple variations of clothing items to try on physically, then they can determine the best fit, but it increases shipping costs, inventory fluctuations, and return rates
Solution Approach 1:
The patent creates a virtual copy of the customer's body using depth imaging data to generate a three-dimensional model or avatar. This virtual replica allows customers to try on clothing digitally without physically receiving multiple garment variations, thereby eliminating the need for repeated shipping and returns while maintaining accurate fit determination.
Solution Approach 2:
The patent replaces the physical mechanical system of trying on actual clothing items with a digital visualization system. Depth cameras capture physical body measurements, which are then processed into virtual models that display how clothing will fit, substituting the mechanical act of physically trying on garments with optical and computational processes.
2Loss of information
If electronic marketplaces display standard size charts and product descriptions, then customers can review item details, but they cannot accurately determine how the clothing will fit their specific body shape
Solution Approach 1:
The patent transitions from providing generic, uniform size charts to delivering customized, location-specific fit information tailored to each customer's unique body topology. The system analyzes specific local characteristics of the customer's body (such as shoulder width, waist circumference, hip measurements) and uses this localized data to predict how clothing will fit those specific areas, rather than relying on standardized size categories.
Solution Approach 2:
The patent performs preliminary body scanning and three-dimensional model generation before the customer makes a purchasing decision. By capturing depth imaging data and creating a virtual avatar in advance, the system prepares personalized fit predictions that are ready when the customer views clothing items, eliminating the need for complex post-purchase exchanges.
3Reliability
If customers return multiple items after physical trials, then they can find the right fit, but it increases processing time and inventory management complexity
Solution Approach 1:
The patent performs the fit assessment action preliminarily by generating a three-dimensional body model and using it to simulate how clothing will fit before the customer completes the purchase. This preliminary virtual try-on experience allows customers to make informed decisions upfront, preventing the need for post-delivery returns and eliminating the time-consuming return processing workflow.
4Adaptability or versatility
If electronic marketplaces use generic product images on mannequins, then they can display clothing items, but they cannot provide personalized fit information for individual customers
Solution Approach 1:
The patent performs preliminary body scanning and three-dimensional model creation when the customer first accesses the platform or during a setup phase. This pre-generated virtual avatar is then reused across multiple product viewing sessions, allowing the system to quickly adapt and display personalized fit information for different clothing items without requiring complex real-time image generation each time.
Data Source
AI summary
Three-dimensional models (or avatars) may be defined based on imaging data captured from a customer. The avatars may be based on a virtual mannequin having one or more dimensions in common with the customer, a body template corresponding to the customer, or imaging data captured from the customer. The avatars are displayed on displays or in user interfaces and used for any purpose, such as to depict how clothing will appear or behave while being worn by a customer alone or with other clothing. Customers may drag-and-drop images of clothing onto the avatars. One or more of the avatars may be displayed on any display, such as a monitor or a virtual reality headset, which may depict the avatars in a static or dynamic mode. Images of avatars and clothing may be used to generate print catalogs depicting the appearance or behavior of the clothing while worn by the customer.