Invention Grant
- Patent Title: Automated classification based on photo-realistic image/model mappings
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Application No.: US17235815Application Date: 2021-04-20
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Publication No.: US11670076B2Publication Date: 2023-06-06
- Inventor: Gunnar Hovden , Mykhaylo Kurinnyy
- Applicant: Matterport, Inc.
- Applicant Address: US CA Sunnyvale
- Assignee: Matterport, Inc.
- Current Assignee: Matterport, Inc.
- Current Assignee Address: US CA Sunnyvale
- Agency: Ahmann Kloke LLP
- Main IPC: G06V20/00
- IPC: G06V20/00 ; G06T15/20 ; G06T15/04 ; G06T19/00 ; G06T17/00 ; G06K9/62 ; G06V20/10 ; G06V20/64

Abstract:
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.
Public/Granted literature
- US20210374410A1 AUTOMATED CLASSIFICATION BASED ON PHOTO-REALISTIC IMAGE/MODEL MAPPINGS Public/Granted day:2021-12-02
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