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公开(公告)号：US11423630B1
公开(公告)日：2022-08-23
申请号：US16454523
申请日：2019-06-27
Applicant: Amazon Technologies, Inc.
Inventor： Amit Kumar Agrawal , Brandon Michael Smith , Visesh Uday Kumar Chari , JinJin Li , Ram Sever , Prakash Ramu , Sunil Sharadchandra Hadap , Apoorv Chaudhri
Abstract: Described are systems and method directed to generation of a dimensionally accurate three-dimensional (“3D”) model of a body, such as a human body, based on two-dimensional (“2D”) images of that body. A user may use a 2D camera, such as a digital camera typically included in many of today's portable devices (e.g., cell phones, tablets, laptops, etc.) and obtain a series of 2D body images of their body from different views with respect to the camera. The 2D body images may then be used to generate a plurality of predicted body parameters corresponding to the body represented in the 2D body images. Those predicted body parameters may then be further processed to generate a dimensionally accurate 3D model or avatar of the body of the user.
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公开(公告)号：US11854146B1
公开(公告)日：2023-12-26
申请号：US17358679
申请日：2021-06-25
Applicant: Amazon Technologies, Inc.
Inventor： Brandon Michael Smith , JinJin Li , Amit Kumar Agrawal , Visesh Uday Kumar Chari , Durga Venkata Kiran Yakkala , Prakash Ramu
CPC classification number: G06T17/10 , G06T15/04 , G06T15/205 , G06T19/20 , G06T2219/2004
Abstract: Described are systems and methods directed to generation of a dimensionally accurate three-dimensional (“3D”) model of a body, such as a human body, based on two-dimensional (“2D”) images of at least a portion of that body. A user may use a 2D camera, such as a digital camera typically included in many of today's portable devices (e.g., cell phones, tablets, laptops, etc.) and obtain a series of 2D body images of at least a portion of their body from different views with respect to the camera. The 2D body images may then be used to generate a plurality of predicted body parameters corresponding to the body represented in the 2D body images. Those predicted body parameters may then be further processed to generate a dimensionally accurate 3D model or avatar of the body of the user.
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公开(公告)号：US12165271B1
公开(公告)日：2024-12-10
申请号：US17820008
申请日：2022-08-16
Applicant: Amazon Technologies, Inc.
Inventor： Amit Kumar Agrawal , Brandon Michael Smith , Visesh Uday Kumar Chari , JinJin Li , Ram Sever , Prakash Ramu , Sunil Sharadchandra Hadap , Apoorv Chaudhri
Abstract: Described are systems and method directed to generation of a dimensionally accurate three-dimensional (“3D”) model of a body, such as a human body, based on two-dimensional (“2D”) images of that body. A user may use a 2D camera, such as a digital camera typically included in many of today's portable devices (e.g., cell phones, tablets, laptops, etc.) and obtain a series of 2D body images of their body from different views with respect to the camera. The 2D body images may then be used to generate a plurality of predicted body parameters corresponding to the body represented in the 2D body images. Those predicted body parameters may then be further processed to generate a dimensionally accurate 3D model or avatar of the body of the user.
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公开(公告)号：US09965865B1
公开(公告)日：2018-05-08
申请号：US15473334
申请日：2017-03-29
Applicant: Amazon Technologies, Inc.
Inventor： Amit Kumar Agrawal , Abhishek Singh , Visesh Uday Kumar Chari , Prakash Ramu , Lelin Zhang , Qiang Liu , Yadunandana Nagaraja Rao , Rohith Mysore Vijaya Kumar , Weijian Wang
CPC classification number: G06T7/194 , G06K9/00201 , G06K9/00234 , G06K9/00369 , G06K9/2027 , G06K9/22 , G06K9/4652 , G06K9/6218 , G06K9/6257 , G06K9/6267 , G06T2207/10024 , G06T2207/10028 , G06T2207/30196 , H04N13/204
Abstract: Devices and techniques are generally described for segmentation of image data using depth data. In various examples, color image data may be received from a digital camera. In some examples, depth image data may be received from a depth sensor. In various examples, the depth image data may be separated into a plurality of clusters of depth image data, wherein each cluster is associated with a respective range of depth values. In some further examples, a determination may be made that a first cluster of image data corresponds to an object of interest, such as a human subject, in the image data. In various examples, pixels of the first cluster may be encoded with foreground indicator data. In some further examples, segmented image data may be generated. The segmented image data may comprise pixels encoded with the foreground indicator data.
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公开(公告)号：US11887252B1
公开(公告)日：2024-01-30
申请号：US17412072
申请日：2021-08-25
Applicant: Amazon Technologies, Inc.
Inventor： Siddhartha Chandra , Visesh Uday Kumar Chari , Prakash Ramu , Antonio Criminisi , F Noam Sorek , Apoorv Chaudhri
IPC: G06T15/00 , G06T17/00 , G06T19/20 , G06T15/04 , G06V40/10 , G06V40/16 , G06F18/22 , G06F18/214 , G06N3/045
CPC classification number: G06T17/00 , G06F18/214 , G06F18/22 , G06N3/045 , G06T15/04 , G06T19/20 , G06V40/103 , G06V40/168 , G06T2219/2004 , G06T2219/2012 , G06T2219/2021
Abstract: Described are systems and methods directed to generation and subsequent update of a dimensionally accurate body model of a body, such as a human body, based on two-dimensional (“2D”) images of at least a portion of that body and/or face images of a face of the body. A user may use a 2D camera, such as a digital camera typically included in many of today's portable devices (e.g., cell phones, tablets, laptops, etc.) to produce body images that are used to generate a body model of the body of the user. Subsequently, the body model may be updated based on a face image of the face of the user, without requiring the user to provide another body image.
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Patent Agency Ranking
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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公开(公告)号：US10198823B1
公开(公告)日：2019-02-05
申请号：US16110767
申请日：2018-08-23
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：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：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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