Invention Application
- Patent Title: LEARNING DEVICE, DEPTH INFORMATION ACQUISITION DEVICE, ENDOSCOPE SYSTEM, LEARNING METHOD, AND PROGRAM
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Application No.: US17730783Application Date: 2022-04-27
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Publication No.: US20220358750A1Publication Date: 2022-11-10
- Inventor: Takayuki TSUJIMOTO
- Applicant: FUJIFILM Corporation
- Applicant Address: JP Tokyo
- Assignee: FUJIFILM Corporation
- Current Assignee: FUJIFILM Corporation
- Current Assignee Address: JP Tokyo
- Priority: JP2021-078694 20210506
- Main IPC: G06V10/774
- IPC: G06V10/774 ; G06T7/55 ; G06T17/00 ; G06T5/00 ; G06T7/00 ; G06V10/22

Abstract:
Provided are a learning device, a depth information acquisition device, an endoscope system, a learning method, and a program capable of efficiently acquiring a learning data set used for machine learning to perform depth estimation, and capable of implementing a highly accurate depth estimation for an actually imaged endoscope image.
The learning device includes a processor performing endoscope image acquisition processing of acquiring an endoscope image obtained by imaging a body cavity with an endoscope system, actual measurement information acquisition processing of acquiring actually measured first depth information corresponding to at least one measurement point in the endoscope image, imitation image acquisition processing of acquiring an imitation image obtained by imitating an image of the body cavity to be imaged with the endoscope system, imitation depth acquisition processing of acquiring second depth information including depth information of one or more regions in the imitation image, and learning processing of causing a learning model to perform learning by using a first learning data set and a second learning data set.
The learning device includes a processor performing endoscope image acquisition processing of acquiring an endoscope image obtained by imaging a body cavity with an endoscope system, actual measurement information acquisition processing of acquiring actually measured first depth information corresponding to at least one measurement point in the endoscope image, imitation image acquisition processing of acquiring an imitation image obtained by imitating an image of the body cavity to be imaged with the endoscope system, imitation depth acquisition processing of acquiring second depth information including depth information of one or more regions in the imitation image, and learning processing of causing a learning model to perform learning by using a first learning data set and a second learning data set.
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