4D Breast Boundary Detection for Accurate Bra Cup Prediction
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Solution Overview
Problem
Current methods for determining breast size and boundary are inaccurate and uncomfortable, leading to ill-fitting bras that can cause health issues, and existing technologies fail to provide precise 3D breast boundary information necessary for correct volume estimation and bra cup size prediction.
Innovation Solution
A non-contact method using 3D image processing to analyze successive images of an individual's breasts while moving, aligning and preprocessing them to determine vertical and horizontal displacements, and using thresholds to define breast boundaries and predict cup sizes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If physical manipulation methods are used to find breast boundaries, then boundary information can be obtained, but the experience becomes unpleasant for individuals
Solution Approach 1:
The patent replaces manual physical manipulation with an automated image processing system. The processor automatically identifies breast boundaries by analyzing 3D scan data through algorithms that detect boundary points where surface curvature changes, eliminating the need for physical contact while maintaining measurement accuracy.
Solution Approach 2:
The system enables self-measurement capability where individuals can obtain accurate breast boundary detection and cup size prediction without requiring manual intervention from others. The automated processing allows the subject to complete the measurement independently through simple positioning in the scanner.
2Ease of operation
If 3D scanning is used to capture breast information, then non-contact measurement is achieved, but precise breast boundary information is not available
Solution Approach 1:
The patent segments the breast surface into distinct regions by identifying boundary points where curvature characteristics change. The algorithm divides the continuous surface data into breast tissue regions and non-breast regions based on curvature thresholds, creating precise boundary definitions from the 3D scan data.
Solution Approach 2:
The patent transitions from 2D surface scanning to 3D volumetric analysis by processing depth information and curvature data in three dimensions. This enables accurate boundary detection by analyzing spatial relationships and surface geometry in multiple dimensions rather than relying on 2D projections.
3Productivity
If breast volume is calculated without accurate boundary information, then measurement process is simple, but volume determination is incorrect
Solution Approach 1:
The patent performs preliminary boundary identification and segmentation before volume calculation. The system automatically detects and marks boundary points, separates breast tissue from surrounding areas, and creates accurate 3D masks of breast volume prior to computing final measurements, ensuring both speed and accuracy.
Solution Approach 2:
The patent replaces manual boundary tracing and volume measurement with automated 3D image processing algorithms. The system uses computational methods to calculate breast volume from segmented 3D data, eliminating time-consuming manual processes while maintaining or improving measurement accuracy.
4Productivity
If bra fit is not properly determined, then product selection is quick, but health concerns arise from ill-fitted bras
Solution Approach 1:
The patent provides feedback by delivering precise cup size predictions and breast measurements to guide bra selection. The system gives specific quantitative results including cup size recommendations and boundary measurements that directly inform appropriate bra fitting, preventing health issues from improper fit.
Solution Approach 2:
The patent replaces subjective trial-and-error bra fitting with objective 3D measurement and automated cup size prediction. The system uses algorithmic analysis of breast geometry to determine appropriate sizes, eliminating guesswork and ensuring health-appropriate fittings while maintaining quick product selection.
Data Source
Figure 1A~1B
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AI summary
Apparatuses, systems and methods for determining the boundary of breasts based on a determined displacement parameter determined at least in part from series of three-dimensional images captured in time while an individual is in motion are provided. The displacement parameter may be determined with respect to a base image. The base image may be one of the 3D images captured while the individual is moving, or a 3D image acquired while the individual is stationary. The displacement may be a vertical displacement. Once the boundary of the breasts is determined, the breasts may be separated from other image data, and the cup size of the individual may be predicted. Apparatuses, systems and methods for evaluating the performance of a garment based on a determined displacement parameter determined at least in part from a series of three-dimensional images captured in time while an individual is in motion are also provided.