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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:US11903730B1
公开(公告)日:2024-02-20
申请号:US16582840
申请日:2019-09-25
Applicant: Amazon Technologies, Inc.
Inventor: Apoorv Chaudhri , Siddhartha Chandra , Prakash Ramu , Amit Kumar Agrawal , Sigal Raab , Anantharanga Prithviraj , Ram Sever , Ita Lifshitz , Ayush Sharma , Anna Shtengel , Gal Levi , Rajesh Gautam
IPC: A61B5/00 , G06T7/11 , G06T7/194 , G06T3/40 , G06T7/00 , G06N3/04 , G06N3/08 , G16H30/40 , G06T7/60
CPC classification number: A61B5/4872 , A61B5/0077 , A61B5/7264 , A61B5/7278 , A61B5/742 , G06N3/04 , G06N3/08 , G06T3/40 , G06T7/0014 , G06T7/11 , G06T7/194 , G06T7/60 , G16H30/40 , A61B2560/0431 , A61B2576/00 , G06T2207/20084 , G06T2207/30196
Abstract: Described are systems and methods that use one or more two-dimensional (“2D”) body images of a body to determine body fat measurements of that body. For example, a standard 2D camera of a portable device, such as a cell phone, tablet, laptop, etc., may be used to generate one or more 2D body images of a user. Those 2D body images, or image, may be processed using the disclosed implementations to determine a body fat measurement of the body represented in the image.
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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:US10325372B2
公开(公告)日:2019-06-18
申请号:US15385249
申请日:2016-12-20
Applicant: Amazon Technologies, Inc.
Inventor: Amit Kumar Agrawal , Alexander Adrian Hugh Davidson , Prakash Ramu
IPC: G06T7/194 , G06T7/11 , G06T5/50 , G06T7/90 , G06K9/46 , G06K9/62 , H04N13/106 , H04N13/15 , H04N13/207 , H04N13/356
Abstract: Techniques for providing an accurate auto-crop feature for images captured by an image capture device may be described herein. For example, one or more image masks for a color image captured by an image capture device may be received by a computer system. Metadata about the color image that identifies portions of the image as foreground and the color image itself may also be received by the computer system. Further, a representation of a user and a floor region associated with a user may be extracted from the color image using the one or more image masks and the metadata. A first area of the color image may be cropped with respect to the extracted representation of the user and the floor region associated with the user to generate a second area of the color image. In embodiments, a third area of the color image may be obscured based on the received metadata.
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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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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:US11232629B1
公开(公告)日:2022-01-25
申请号:US16557830
申请日:2019-08-30
Applicant: Amazon Technologies, Inc.
Inventor: David Lawrence Seymore , Prakash Ramu , Aneeb Qureshi , Ita Lifshitz , Anta Imata Safo , Megan Heffernan
Abstract: Described are systems and method directed to generation of a dimensionally accurate three-dimensional (“3D”) body 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 directions 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 of the body of the user.
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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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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:US11580693B1
公开(公告)日:2023-02-14
申请号:US17581658
申请日:2022-01-21
Applicant: Amazon Technologies, Inc.
Inventor: David Lawrence Seymore , Prakash Ramu , Aneeb Qureshi , Ita Lifshitz , Anta Imata Safo , Megan Heffernan
Abstract: Described are systems and method directed to generation of a dimensionally accurate three-dimensional (“3D”) body 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 directions 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 of the body of the user.
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