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公开(公告)号：US20240331211A1
公开(公告)日：2024-10-03
申请号：US18194441
申请日：2023-03-31
Applicant: Amazon Technologies, Inc.
Inventor： Larry Davis , Nicolas Heron , Amit Kumar Agrawal , Nina Mitra Khosrowsalafi , Osama Makansi , Oleksandr Vorobiov
IPC: G06T11/00 , G06T7/12 , G06T7/70 , G06V10/764
CPC classification number: G06T11/00 , G06T7/12 , G06T7/70 , G06V10/764 , G06T2207/20081 , G06T2207/30196
Abstract: Systems and methods are described for generating images of synthesized bodies wearing a garment. For instance, a source image of a human or mannequin wearing a garment may be submitted to a synthesized human generation system. In response to receiving the source image, the synthesized human generation system may use a classifier to classify the image as depicting one or more body types or orientations. The synthesized human generation system may also apply segmentation to the source image to segment the garment pixels. The synthesized human generation system may then select one or more body generation machine learning models based on the classification of the source image. The synthesized human generation system may utilize the selected machine learning models to generate one or more output images of synthesized bodies that appear to be wearing the garment, using the segmented garment as input.
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公开(公告)号：US11836853B2
公开(公告)日：2023-12-05
申请号：US17377214
申请日：2021-07-15
Applicant: Amazon Technologies, Inc.
Inventor： Amit Kumar Agrawal , Jinjin Li , Rohith Mysore Vijaya Kumar , Dylan John Drover , Brandon Michael Smith , Prakash Ramu , Ram Sever , Apoorv Chaudhri , Visesh Uday Kumar Chari , Sunil Sharadchandra Hadap , Rajesh Gautam
CPC classification number: G06T17/00 , A61B5/4872 , G06T15/005 , G06T15/80 , G06T19/20 , G06T2210/41
Abstract: Described are systems and methods directed to generation of a personalized three-dimensional (“3D”) body model of a body, such as a human body, based on two-dimensional (“2D”) images of that body and the generation and presentation of predicted personalized 3D body models of the body when one or more body measurements (e.g., body fat, body weight, muscle mass) are changed. For example, a user may provide a target body measurement value and the implementations will generate one or more predicted personalized 3D body models representative of a predicted appearance of the body with the target body measurement value.
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公开(公告)号：US11526697B1
公开(公告)日：2022-12-13
申请号：US16814526
申请日：2020-03-10
Applicant: Amazon Technologies, Inc.
Inventor： Shashank Tripathi , Ambrish Tyagi , Amit Kumar Agrawal , Siddhant Ranade
Abstract: Devices and techniques are generally described for estimating three-dimensional pose data. In some examples, a first machine learning network may generate first three-dimensional (3D) data representing input 2D data. In various examples, a first 2D projection of the first 3D data may be generated. A determination may be made that the first 2D projection conforms to a distribution of natural 2D data. A second machine learning network may generate parameters of a 3D model based at least in part on the input 2D data and based at least in part on the first 3D data. In some examples, second 3D data may be generated using the parameters of the 3D model.
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公开(公告)号：US20210343074A1
公开(公告)日：2021-11-04
申请号：US17377214
申请日：2021-07-15
Applicant: Amazon Technologies, Inc.
Inventor： Amit Kumar Agrawal , JinJin Li , Rohith Mysore Vijaya Kumar , Dylan John Drover , Brandon Michael Smith , Prakash Ramu , Ram Sever , Apoorv Chaudhri , Visesh Uday Kumar Chari , Sunil Sharadchandra Hadap , Rajesh Gautam
Abstract: Described are systems and methods directed to generation of a personalized three-dimensional (“3D”) body model of a body, such as a human body, based on two-dimensional (“2D”) images of that body and the generation and presentation of predicted personalized 3D body models of the body when one or more body measurements (e.g., body fat, body weight, muscle mass) are changed. For example, a user may provide a target body measurement value and the implementations will generate one or more predicted personalized 3D body models representative of a predicted appearance of the body with the target body measurement value.
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公开(公告)号：US20210097759A1
公开(公告)日：2021-04-01
申请号：US16584360
申请日：2019-09-26
Applicant: Amazon Technologies, Inc.
Inventor： Amit Kumar Agrawal , JinJin Li , Rohith Mysore Vijaya Kumar , Dylan John Drover , Brandon Michael Smith , Prakash Ramu , Ram Sever , Apoorv Chaudhri , Visesh Uday Kumar Chari , Sunil Sharadchandra Hadap , Rajesh Gautam
Abstract: Described are systems and methods directed to generation of a personalized three-dimensional (“3D”) body model of a body, such as a human body, based on two-dimensional (“2D”) images of that body and the generation and presentation of predicted personalized 3D body models of the body when one or more body measurements (e.g., body fat, body weight, muscle mass) are changed. For example, a user may provide a target body measurement value and the implementations will generate one or more predicted personalized 3D body models representative of a predicted appearance of the body with the target body measurement value.
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Patent Agency Ranking
公开(公告)号：US10860836B1
公开(公告)日：2020-12-08
申请号：US16192433
申请日：2018-11-15
Applicant: Amazon Technologies, Inc.
Inventor： Ambrish Tyagi , Amit Kumar Agrawal , Siddhartha Chandra , Visesh Uday Kumar Chari , Shashank Tripathi , James Rehg
Abstract: Techniques are generally described for object detection in image data. First image data comprising a first plurality of pixel values representing an object and a second plurality of pixel values representing a background may be received. First foreground image data and first background image data may be generated from the first image data. A first feature vector representing the first plurality of pixel values may be generated. A second feature vector representing a first plurality of pixel values of second background image data may be generated. A first machine learning model may determine a first operation to perform on the first foreground image data. A transformed representation of the first foreground image data may be generated by performing the first operation on the first foreground image data. Composite image data may be generated by compositing the transformed representation of the first foreground image data with the second background image data.
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公开(公告)号：US10096122B1
公开(公告)日：2018-10-09
申请号：US15472041
申请日：2017-03-28
Applicant: Amazon Technologies, Inc.
Inventor： Amit Kumar Agrawal , Abhishek Singh , Visesh Uday Kumar Chari , Lelin Zhang , Qiang Liu , Rohith Mysore Vijaya Kumar , David Ting-Yu Wu
Abstract: Devices and techniques are generally described for segmentation of object image data from background image data. In some examples, the segmentation of object image data may comprise capturing image data comprising color data and depth data. In some examples, the segmentation of object image data may further include separating the depth data into a plurality of clusters of image data, wherein each cluster is associated with a respective range of depth values. In various examples, the segmentation of object image data may comprise selecting a main cluster of image data as corresponding to an object of interest in the image data. In various other examples, the segmentation of object image data may comprise identifying pixels of the main cluster that correspond to the object of interest.
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公开(公告)号：US09697433B1
公开(公告)日：2017-07-04
申请号：US14729894
申请日：2015-06-03
Applicant: Amazon Technologies, Inc.
Inventor： Amit Kumar Agrawal , Qiang Liu , David Ting-Yu Wu
CPC classification number: G06K9/00369 , G06K9/38 , G06K9/42 , G06K9/469
Abstract: Features are disclosed for classifying pixels included in a digital image. Distance information from a pixel to structural reference points, such as skeletal joints, is generated. The distance information is then applied to a pixel classifier to identify one or more classifications for the pixel.
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公开(公告)号：US11861860B2
公开(公告)日：2024-01-02
申请号：US17489393
申请日：2021-09-29
Applicant: Amazon Technologies, Inc.
Inventor： Amit Kumar Agrawal , Siddharth Choudhary , Antonio Criminisi , Ganesh Subramanian Iyer , JinJin Li , Prakash Ramu , Brandon Michael Smith , Durga Venkata Kiran Yakkala
CPC classification number: G06T7/60 , G01B11/24 , G06T7/11 , G06T7/70 , G06T17/20 , G06V40/103 , G06T2207/20081 , G06T2207/20084 , G06T2207/30196
Abstract: Described are systems and methods to determine one or more body dimensions of a body based on a processing of one or more two-dimensional images that include a representation of the body. Body dimensions include any length, circumference, etc., of any part of a body, such as shoulder circumference, chest circumference, waist circumference, hip circumference, inseam length, bicep circumference, leg circumference, etc.
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公开(公告)号：US11069131B2
公开(公告)日：2021-07-20
申请号：US16584360
申请日：2019-09-26
Applicant: Amazon Technologies, Inc.
Inventor： Amit Kumar Agrawal , Jinjin Li , Rohith Mysore Vijaya Kumar , Dylan John Drover , Brandon Michael Smith , Prakash Ramu , Ram Sever , Apoorv Chaudhri , Visesh Uday Kumar Chari , Sunil Sharadchandra Hadap , Rajesh Gautam
Abstract: Described are systems and methods directed to generation of a personalized three-dimensional (“3D”) body model of a body, such as a human body, based on two-dimensional (“2D”) images of that body and the generation and presentation of predicted personalized 3D body models of the body when one or more body measurements (e.g., body fat, body weight, muscle mass) are changed. For example, a user may provide a target body measurement value and the implementations will generate one or more predicted personalized 3D body models representative of a predicted appearance of the body with the target body measurement value.
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