- 专利标题: Automated classification based on photo-realistic image/model mappings
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申请号: US18302780申请日: 2023-04-18
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公开(公告)号: US12073609B2公开(公告)日: 2024-08-27
- 发明人: Gunnar Hovden , Mykhaylo Kurinnyy
- 申请人: Matterport, Inc.
- 申请人地址: US CA Sunnyvale
- 专利权人: Matterport, Inc.
- 当前专利权人: Matterport, Inc.
- 当前专利权人地址: US CA Sunnyvale
- 代理机构: Ahmann Kloke LLP
- 主分类号: G06V10/778
- IPC分类号: G06V10/778 ; G06F18/21 ; G06T15/04 ; G06T15/20 ; G06T17/00 ; G06T19/00 ; G06V20/00 ; G06V20/10 ; G06V20/64
摘要:
Techniques are provided for increasing the accuracy of automated classifications produced by a machine learning engine. Specifically, the classification produced by a machine learning engine for one photo-realistic image is adjusted based on the classifications produced by the machine learning engine for other photo-realistic images that correspond to the same portion of a 3D model that has been generated based on the photo-realistic images. Techniques are also provided for using the classifications of the photo-realistic images that were used to create a 3D model to automatically classify portions of the 3D model. The classifications assigned to the various portions of the 3D model in this manner may also be used as a factor for automatically segmenting the 3D model.
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