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公开(公告)号：US11497267B2
公开(公告)日：2022-11-15
申请号：US15733770
申请日：2019-04-15
Applicant: Bodygram, Inc.
Inventor： Chong Jin Koh , Yu Sato
Abstract: Disclosed are systems and methods for full body measurements extraction using a mobile device camera. The method includes the steps of receiving one or more user parameters; receiving at least one image containing the human and a background; identifying one or more body features associated with the human; performing body feature annotation on the identified body features for generating an annotation line on each body feature corresponding to a body feature measurement, the body feature annotation utilizing an annotation deep-learning network that has been trained on annotation training data, the annotation training data comprising one or more images for one or more sample body features and an annotation line for each body feature; generating body feature measurements from the one or more annotated body features utilizing a sizing machine-learning module based on the annotated body features and the one or more user parameters; and generating body size measurements by aggregating the body feature measurements for each body feature.
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2.发明申请公开(公告)号：US20200319015A1
公开(公告)日：2020-10-08
申请号：US16830497
申请日：2020-03-26
Applicant: Bodygram, Inc.
Inventor： Kyohei Kamiyama , Chong Jin Koh , Yu Sato
Abstract: Disclosed are systems and methods for body weight prediction from one or more images. The method includes the steps of receiving one or more subject parameters; receiving one or more images containing a subject; identifying one or more annotation key points for one or more body features underneath a clothing of the subject from the one or more images utilizing one or more annotation deep-learning networks; calculating one or more geometric features of the subject based on the one or more annotation key points; and generating a prediction of the body weight of the subject utilizing a weight machine-learning module based on the one or more geometric features of the subject and the one or more subject parameters.
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公开(公告)号：US20210235802A1
公开(公告)日：2021-08-05
申请号：US15733770
申请日：2019-04-15
Applicant: Bodygram, Inc.
Inventor： Chong Jin Koh , Yu Sato
Abstract: Disclosed are systems and methods for full body measurements extraction using a mobile device camera. The method includes the steps of receiving one or more user parameters; receiving at least one image containing the human and a background; identifying one or more body features associated with the human; performing body feature annotation on the identified body features for generating an annotation line on each body feature corresponding to a body feature measurement, the body feature annotation utilizing an annotation deep-learning network that has been trained on annotation training data, the annotation training data comprising one or more images for one or more sample body features and an annotation line for each body feature; generating body feature measurements from the one or more annotated body features utilizing a sizing machine-learning module based on the annotated body features and the one or more user parameters; and generating body size measurements by aggregating the body feature measurements for each body feature.
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公开(公告)号：US10962404B2
公开(公告)日：2021-03-30
申请号：US16830497
申请日：2020-03-26
Applicant: Bodygram, Inc.
Inventor： Kyohei Kamiyama , Chong Jin Koh , Yu Sato
Abstract: Disclosed are systems and methods for body weight prediction from one or more images. The method includes the steps of receiving one or more subject parameters; receiving one or more images containing a subject; identifying one or more annotation key points for one or more body features underneath a clothing of the subject from the one or more images utilizing one or more annotation deep-learning networks; calculating one or more geometric features of the subject based on the one or more annotation key points; and generating a prediction of the body weight of the subject utilizing a weight machine-learning module based on the one or more geometric features of the subject and the one or more subject parameters.
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