Optimizing bra sizing according to the 3D shape of breasts

Patent metadata

Field	Value
Publication number	US-11430246-B2
Application number	US-202217571066-A
Country	US
Kind code	B2
Filing date	Jan 7, 2022
Priority date	Oct 3, 2019
Publication date	Aug 30, 2022
Grant date	Aug 30, 2022

Abstract

Methods and systems for developing a sizing system through categorization and selection of prototypes, which can be regarded as the most appropriate fit model, is described. Once categorized and prototypes are selected, recommendations for the sizing of a target body part may be issued.

First claim

What is claimed is:

1. A method for assigning a body part to a size in a sizing scheme for the body part, the method comprising:
receiving, by a processor, a three-dimensional (3D) image that includes the body part of a body of an individual;
identifying a 3D reference point;
identifying a region of interest and another region which includes the region of interest;
shifting, by the processor, the another region to align a central axis of the another region of interest with the 3D reference point, the central axis being parallel to a longitudinal axis of the body, the central axis intersecting a first average value and a second average value determined based on image points among the another region;
identifying, by the processor, a number of data points on a surface of the region of interest;
determining, by the processor, a plurality of distances between the number of data points and the 3D reference point;
extracting, by the processor, a plurality of prototype images from a memory, wherein the plurality of prototype images represents a plurality of size groups, respectively;
comparing, by the processor, the plurality of distances determined for the received 3D image with distances determined for the same data points in each one of the prototype images with respect to the region of interest, such that the received 3D image is compared with every prototype image among the plurality of prototype images in pairs with respect to the region of interest;
determining, by the processor, a fit-loss value between the received 3D image and each one of the extracted prototype images with respect to the region of interest based on the comparing;
identifying, by the processor, a lowest fit-loss value among the determined fit-loss values; and
assigning the received 3D image to the size group represented by the prototype image corresponding to the lowest fit-loss value.

2. The method of claim 1 , wherein the body part is a pair of breasts.

3. The method of claim 1 , wherein
the another region is an entire torso; and the method further comprises
determining the first average value of image points among the another region in a first direction, the first direction being to orthogonal a longitudinal axis of the body and
determining the second average value of image points among the another region in a second direction orthogonal to the first direction and orthogonal to a longitudinal axis of the body.

4. The method of claim 3 , further comprising shifting, by the processor, the another region in a vertical direction, the vertical direction being parallel to a longitudinal axis of the body to align a landmark feature in the another region with the 3D reference point by another region until a plane orthogonal to the central axis intersects with the 3D reference point, wherein the plane intersects the landmark feature.

5. The method of claim 4 , wherein the landmark feature is determined by defining a midpoint between a pair of nipples in the vertical direction and wherein the plane intersects the midpoint.

6. The method of claim 1 , wherein identifying the region of interest comprises removing image points located on a first side of a plane parallel to a coronal plane of the body and intersects the 3D reference point, and the body part is located on a second side of the plane parallel to the coronal plane opposite from the first side.

7. The method of claim 1 , wherein the another region being is entire torso, wherein identifying the region of interest comprises:
rotating the 3D image to an angle where Moiré patterns are formed;
identifying an upper bound of the region of interest based on the formed Moiré patterns; and
identifying an immediate crease of a protruded region in the another region to identify a lower bound of the region of interest.

8. The method of claim 1 , wherein the plurality of size groups are based on a dissimilarity matrix generated using a plurality of fit-loss values corresponding to every possible combination of pairs of 3D images among a plurality of 3D images, wherein the plurality of 3D images include the body part of different individuals.

9. The method of claim 8 , wherein the plurality of fit-loss values are determined based on a dissimilarity function that quantifies a shape difference between a pair of 3D images with respect to the region of interest.

10. The method of claim 1 , wherein the 3D image is received from one or more 3D scanners.

11. The method of claim 10 , wherein the one or more 3D scanners is one or more of a mobile phone, a point of sale terminal, a 3D body scanner, a handheld 3D scanner, and a stationary 3D scanner.

12. The method of claim 1 , further comprising: designating the received 3D image as a candidate prototype image of the assigned size group;
determining an aggregated fit-loss value for the assigned size group based on the received 3D image being designated as the candidate prototype image;
comparing the determined aggregated fit-loss value with an original aggregated fit-loss value of the assigned size group plus the fit-loss value between the received 3D image and the prototype image;
in response to the determined aggregated fit-loss value being less than the original aggregated fit-loss value plus the fit-loss value between the received 3D image and the prototype image, assigning the received 3D image as a new prototype image in the assigned size group; and
in response to the determined aggregated fit-loss value being greater than or equal to the original aggregated fit-loss value plus the fit-loss value between the received 3D image and the prototype image, keeping the prototype image as the prototype image of the assigned size group.

13. A method for assigning a body part to a size in a sizing scheme for the body part, the method comprising:
receiving, by a processor, a three-dimensional (3D) image that includes a body part of a body of an individual;
identifying a 3D reference point;
identifying a first region of interest in the 3D image;
shifting, by the processor, the first region of interest to align a central axis of the first region of interest with the 3D reference point, the central axis being parallel to a longitudinal axis of the body of the individual, the central axis intersecting a first average value and a second average value determined based on image points among the first region of interest;
determining, by the processor, a band size based on a size parameter of a circumference of a lower bound of the body part in the first region of interest, wherein the band size is among a plurality of band sizes;
extracting, by the processor, a plurality of prototype images from a memory, wherein the plurality of prototype images represents a plurality of shape groups corresponding to the determined band size;
identifying a second region of interest in the first region of interest;
identifying, by the processor, a number of data points on a surface of the second region of interest;
determining, by the processor, a plurality of distances between the number of data points and the 3D reference point;
comparing, by the processor, the plurality of distances determined for the received 3D image with distances determined for the same data points in each one of the extracted prototype images representing the plurality of shape groups corresponding to the determined band size with respect to the second region of interest, such that the received 3D image is compared with every extracted prototype image among the plurality of prototype images in pairs with respect to the second region of interest;
determining, by the processor, a fit-loss value between the received 3D image and each on

Assignees

• Univ Cornell

Inventors

• Pei Jie
• Fan Jintu
• Ashdown Susan P

Classifications

• G06V10/25

  Determination of region of interest [ROI] or a volume of interest [VOI] · CPC title

• G06Q30/0643 Primary

  graphically representing goods, e.g. 3D product representation · CPC title

• G06V20/653

  by matching three-dimensional models, e.g. conformal mapping of Riemann surfaces · CPC title

• G06V40/10 Primary

  Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands · CPC title

• G06T19/20

  Editing of three-dimensional [3D] images, e.g. changing shapes or colours, aligning objects or positioning parts · CPC title