- 专利标题: Image recognition device and method
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申请号: US17286604申请日: 2018-12-21
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公开(公告)号: US12014530B2公开(公告)日: 2024-06-18
- 发明人: Ryou Yumiba , Yasutaka Toyoda , Hiroyuki Shindo
- 申请人: HITACHI HIGH-TECH CORPORATION
- 申请人地址: JP Tokyo
- 专利权人: HITACHI HIGH-TECH CORPORATION
- 当前专利权人: HITACHI HIGH-TECH CORPORATION
- 当前专利权人地址: JP Tokyo
- 代理机构: MATTINGLY & MALUR, PC
- 国际申请: PCT/JP2018/047224 2018.12.21
- 国际公布: WO2020/129235A 2020.06.25
- 进入国家日期: 2021-04-19
- 主分类号: G06V10/44
- IPC分类号: G06V10/44 ; G06F18/20 ; G06F18/2113 ; G06F18/213 ; G06N20/00 ; G06V10/77 ; G06V10/82 ; G06V20/69
摘要:
In order to select an optimal learning model for an image when inference is carried out in the extraction of a profile line using machine learning, without requiring a correct value or degree of certainty, a feature extraction learning model group containing a plurality of learning models is used for feature extraction. A recall learning model group containing recall learning models is paired with the feature extraction learning models. A feature amount extraction unit for referencing a feature extraction learning model and extracting a feature amount from input data; a data-to-data recall unit for referencing a recall learning model and outputting a recall result with the feature amount subjected to dimensional compression; and a learning model selection unit for selecting a feature extraction learning model from the feature extraction learning model group under the condition that the difference between the feature amount and the recall result is minimized are provided.
公开/授权文献
- US20210374403A1 IMAGE RECOGNITION DEVICE AND METHOD 公开/授权日:2021-12-02
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