- 专利标题: SYSTEMS AND METHODS FOR PERSONALIZED PATIENT BODY MODELING
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申请号: US17513392申请日: 2021-10-28
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公开(公告)号: US20230132479A1公开(公告)日: 2023-05-04
- 发明人: Srikrishna Karanam , Meng Zheng , Ziyan Wu
- 申请人: Shanghai United Imaging Intelligence Co., Ltd.
- 申请人地址: CN Shanghai
- 专利权人: Shanghai United Imaging Intelligence Co., Ltd.
- 当前专利权人: Shanghai United Imaging Intelligence Co., Ltd.
- 当前专利权人地址: CN Shanghai
- 主分类号: G06T13/40
- IPC分类号: G06T13/40 ; G06T17/20
摘要:
A three-dimensional (3D) model of a person may be obtained using a pre-trained neural network based on one or more images of the person. Such a model may be subject to estimation bias and/or other types of defects or errors. Described herein are systems, methods, and instrumentalities for refining the 3D model and/or the neural network used to generate the 3D model. The proposed techniques may extract information such as key body locations and/or a body shape from the images and refine the 3D model and/or the neural network using the extracted information. In examples, the 3D model and/or the neural network may be refined by minimizing a difference between the key body locations and/or body shape extracted from the images and corresponding key body locations and/or body shape determined from the 3D model. The refinement may be performed in an iterative and alternating manner.
公开/授权文献
- US11941738B2 Systems and methods for personalized patient body modeling 公开/授权日:2024-03-26
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