Remote Clothing Dimension Detection Using 2D Image Calibration
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Solution Overview
Problem
The public is hesitant to self-measure for expensive clothing online due to lack of professional equipment and environment, making remote tailoring of clothes sizes challenging and less acceptable.
Innovation Solution
A method using digital cameras and internet-based processing means to determine clothes dimensions by taking 2D images, referencing objects for calibration, and using data sets of virtual people or clothes to derive necessary measurements, allowing for remote and accurate determination of body dimensions without professional equipment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If professional measurement equipment and environment are used, then measurement precision is improved, but device complexity and ease of operation worsen
Solution Approach 1:
The patent uses 2D digital images as copies of the person's physical appearance to extract measurement data. Instead of requiring direct physical measurement with professional equipment, the system creates digital representations (images) that can be processed algorithmically to derive body dimensions, thereby eliminating the need for complex measurement devices while maintaining measurement capability
Solution Approach 2:
The patent replaces mechanical measurement systems (physical tape measures, anthropometric devices) with an optical-digital system. Digital cameras capture images, and software algorithms automatically extract dimensional information, substituting mechanical measurement processes with optical capture and computational analysis
2Measurement precision
If professional measurement equipment and environment are used, then measurement precision is improved, but ease of operation worsens
Solution Approach 1:
The system enables self-service measurement where the person can capture their own images using a digital camera and the software automatically processes these images to extract measurement data. The automated image processing and dimension extraction eliminate the need for professional operators, allowing end-users to perform measurements independently with consumer-grade devices
Solution Approach 2:
The patent replaces manual mechanical measurement operations with automated optical-digital processes. Software algorithms automatically detect body contours, calculate dimensions, and generate measurement results from images, eliminating the need for trained professionals to perform physical measurements
3Device complexity
If 2D images are used instead of professional measurement, then device complexity is reduced, but measurement precision worsens
Solution Approach 1:
The patent transitions from 2D image data to 3D dimensional information by using multiple 2D images taken from different angles and positions. Through computational processing, the system reconstructs three-dimensional body measurements from two-dimensional projections, effectively adding the third dimension back through mathematical reconstruction techniques
Solution Approach 2:
The patent introduces reference objects with known dimensions as intermediaries in the measurement process. These reference objects appear in the images alongside the subject, providing scale information that enables the software to convert pixel measurements into real-world dimensions, thereby bridging the gap between 2D image data and accurate 3D measurements
4Ease of operation
If self-measurement is performed by non-professionals, then ease of operation is improved, but measurement precision worsens
Solution Approach 1:
The patent replaces manual measurement operations performed by non-professionals with automated software-based measurement extraction. The software automatically detects body features, calculates dimensions, and generates measurement results, eliminating the need for users to manually measure or interpret their own body dimensions, thereby maintaining ease of operation while ensuring measurement accuracy through algorithmic processing
Data Source
AI summary
Method for remotely ordering clothing for a person (1), the person sends two profile images of himself/herself to the processing means (11), which determines there from two person profiles. The processing means determines the requested clothes size or clothes dimensions, by using a data set (12) with representations of virtual persons or pieces of clothing. The processing means use a matching, fitting or rendering algorithm for determining the largest similarity between the supplied person profiles and the representations of virtual people or clothes in said generic data set. Input into the processing means is done via a local terminal, via the Internet.