Computer Vision Rectification for Clothing Size Comparison
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Solution Overview
Problem
The clothing industry faces challenges with inconsistent sizing across brands and within manufacturers, leading to high rates of returns due to improper fit in online sales, which is time-consuming and environmentally costly, and lacks an accurate method for consumers to determine clothing fit without physical try-ons.
Innovation Solution
A computer vision system that allows users to compare the size of clothing items by taking photos from any angle and using reference markers for rectification, enabling accurate relative size comparisons and measurements between objects, facilitating online fit assurance and reducing returns.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If standard clothing sizing indications (S, M, L, XL) are used, then the sizing process is simple and quick, but the sizing accuracy and fit precision deteriorate due to generic labels not reflecting specific dimensions
Solution Approach 1:
The patent uses photographic images of clothing items as visual copies to represent physical dimensions. Instead of relying on abstract size labels, the system creates digital replicas of clothing items that can be visually compared against reference garments, allowing consumers to assess fit accuracy without handling physical samples.
Solution Approach 2:
The patent introduces standardized reference clothing items as intermediaries between the consumer and the prospective clothing item. These reference garments with known dimensions serve as a mediator that enables indirect comparison and measurement, allowing consumers to determine fit by comparing the prospective item against established standards rather than relying on unreliable size labels.
2Measurement precision
If consumers personally try on each prospective article of clothing to ensure proper fit, then the sizing accuracy improves, but the time consumption and operational complexity worsen
Solution Approach 1:
The patent performs preliminary visual comparison and measurement assessment before the consumer makes a purchase decision. By using reference clothing items to pre-evaluate the fit of prospective garments through image analysis, the system eliminates the need for time-consuming in-store try-ons, allowing consumers to make informed decisions online.
Solution Approach 2:
The patent replaces the mechanical physical try-on process with an optical and computational system. Instead of physically trying on clothing items, consumers use the system's image-based measurement and comparison technology, which substitutes physical interaction with digital analysis of clothing dimensions and fit characteristics.
3Measurement precision
If physical storefronts are maintained to allow try-ons, then the sizing accuracy improves, but the device complexity and operational costs worsen
Solution Approach 1:
The patent creates virtual copies of physical try-on capabilities through digital image analysis. Instead of requiring physical storefront infrastructure, the system uses photographs and standardized reference images to replicate the measurement and comparison functions that would traditionally require physical presence, thereby eliminating the need for complex physical retail infrastructure.
Solution Approach 2:
The patent introduces a digital image-based comparison system as an intermediary that replaces the physical storefront environment. This intermediary system allows consumers to perform fit assessment remotely using standardized reference images, eliminating the need for physical retail spaces while maintaining measurement accuracy.
4Adaptability or versatility
If clothing sizing is not standardized, then manufacturers have flexibility in design and production, but the measurement precision and consistency across brands worsen due to significant sizing fluctuation
Solution Approach 1:
The patent creates a universal measurement and comparison system that works across different clothing brands and styles. By using standardized reference clothing items as a common baseline, the system enables consistent measurement and comparison regardless of the specific brand or garment type, providing a universal solution that maintains both manufacturing flexibility and measurement precision.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This system provides accurate and efficient sizing comparisons, reducing return rates and environmental impact by allowing consumers to determine fit online, and helps manufacturers improve sizing consistency, thereby lowering costs and enhancing customer satisfaction.
Implementation Method 1
an image rectification component configured to rectify the first image by transforming the first angled-view of the first image to a rectified first top-view of the first image based on a first set of correspondences between the one or more first reference markers in the first image and the first top-view space of the first image
Data Source
AI summary
Systems and methods are disclosed herein that allow users to take photographs of objects from any angle and perspective and a rectification algorithm will rectify the angled photos to create scaled top-views of the objects. Rectified objects in the photographs will appear as if they were taken from directly above the object at an exact distance away from the object. Rectified and scaled photos of objects may be further segmented and/or overlaid on top of each other to enable quick visual sizing comparisons between two or more objects and/or accurate dimensional measurements between two or more objects.