公开(公告)号：US12100114B1

公开(公告)日：2024-09-24

申请号：US17744444

申请日：2022-05-13

Applicant: Amazon Technologies, Inc.

Inventor： Gitika Karumuri ,  Yuelong Li ,  Sunil Sharadchandra Hadap ,  Ashwin Swaminathan

IPC: G06T19/20 ,  G06Q30/0601 ,  G06T7/70 ,  G06T11/00 ,  G06V10/70 ,  G06V40/10

CPC classification number: G06T19/20 ,  G06Q30/0643 ,  G06T7/70 ,  G06T11/00 ,  G06V10/70 ,  G06V40/10 ,  G06T2207/20081 ,  G06T2207/30196 ,  G06T2219/004 ,  G06T2219/2016

Abstract: The present disclosure describes a system and method for implementing a virtual shoe try-on feature. The method includes receiving, from a database, a three-dimensional model of a shoe with a first annotated point on the three-dimensional model of the shoe, a second annotated point on the three-dimensional model of the shoe, and a third annotated point on the three-dimensional model of the shoe. The method also includes predicting, using a machine learning model and based on an image of a foot, one or more features of the foot, generating, based on the first annotated point, the second annotated point, the third annotated point, and the one or more features, a two-dimensional model of the shoe using the three-dimensional model of the shoe, and superimposing the two-dimensional model of the shoe onto the image of the foot.

公开(公告)号：US11900559B1

公开(公告)日：2024-02-13

申请号：US17706213

申请日：2022-03-28

Applicant: Amazon Technologies, Inc.

Inventor： Yuelong Li ,  Sunil Sharadchandra Hadap ,  Miriam Bellver Bueno

IPC: G06T19/20 ,  G06T7/20 ,  G06T5/00 ,  G06T5/50 ,  G06T7/73

CPC classification number: G06T19/20 ,  G06T5/002 ,  G06T5/50 ,  G06T7/20 ,  G06T7/75 ,  G06T2207/20132 ,  G06T2207/20221 ,  G06T2219/2004 ,  G06T2219/2016

Abstract: According to an embodiment, a method includes estimating, based at least in part on a first location of a bounding box for a foot in a first frame of a sequence of frames and a second location of the bounding box in a second frame of the sequence of frames, a smoothing transformation that characterizes a movement of the foot in the sequence of frames and smoothing, based at least in part on the smoothing transformation, a movement of a structure of the foot from a first location of the structure in the first frame to a second location of the structure in the second frame. The method also includes superimposing a model of a shoe onto the foot in the sequence of frames based at least in part on the smoothed movement.

公开(公告)号：US12211090B1

公开(公告)日：2025-01-28

申请号：US17689345

申请日：2022-03-08

Applicant: Amazon Technologies, Inc.

Inventor： Gitika Karumuri ,  Miriam Bellver Bueno ,  Amogh Gupta ,  Ashwin Swaminathan ,  Sunil Sharadchandra Hadap ,  Yuelong Li ,  Xin Shen

IPC: G06T7/11 ,  G06Q30/0601 ,  G06T7/73 ,  G06V40/10

Abstract: A first region within image data corresponding to a first portion of a user is determined, and a classifier associated with the first portion of the user is determined. A second region within the image data that includes the first region is determined. Within the second region, first pixels corresponding to the first portion of the user, second pixels corresponding to a second portion of the user adjoined to the first portion of the user, and third pixels corresponding to an environment of the user are identified. Based on identifying the second pixels, the classifier associated with the first portion of the user is confirmed. Upon the confirmation an item is rendered on the first portion of the user.

公开(公告)号：US11978174B1

公开(公告)日：2024-05-07

申请号：US17706159

申请日：2022-03-28

Applicant: Amazon Technologies, Inc.

Inventor： Yuelong Li ,  Gitika Karumuri ,  Miriam Bellver Bueno ,  Sunil Sharadchandra Hadap ,  Ashwin Swaminathan ,  Amogh Gupta ,  Xin Shen

IPC: G06T19/00 ,  G06N3/08 ,  G06Q30/0601 ,  G06T19/20 ,  G06V10/40 ,  G06V10/82 ,  G06V40/10

CPC classification number: G06T19/20 ,  G06N3/08 ,  G06Q30/0643 ,  G06V10/40 ,  G06V10/82 ,  G06V40/10 ,  G06T2210/22 ,  G06T2219/2016

Abstract: A method includes extracting, using a backbone of a machine learning model, a plurality of features from an image of a foot and predicting, using a first portion of the machine learning model and based on one or more features of the plurality of features, a first aspect of the foot. The method also includes predicting, using a second portion of the machine learning model and based on one or more features of the plurality of features, a second aspect of the foot different from the first aspect, generating, using at least the first aspect and the second aspect, a two-dimensional model of a shoe, and superimposing the two-dimensional model of the shoe onto the image of the foot.