Invention Application
- Patent Title: Joint Training Technique for Depth Map Generation
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Application No.: US16204785Application Date: 2018-11-29
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Publication No.: US20200175700A1Publication Date: 2020-06-04
- Inventor: Jianming Zhang , Zhe Lin , Xiaohui Shen , Oliver Wang , Lijun Wang
- Applicant: Adobe Inc.
- Applicant Address: US CA San Jose
- Assignee: Adobe Inc.
- Current Assignee: Adobe Inc.
- Current Assignee Address: US CA San Jose
- Main IPC: G06T7/50
- IPC: G06T7/50 ; G06T7/194 ; G06K9/46 ; G06T3/40

Abstract:
Joint training technique for depth map generation implemented by depth prediction system as part of a computing device is described. The depth prediction system is configured to generate a candidate feature map from features extracted from training digital images, generate a candidate segmentation map and a candidate depth map from the generated candidate feature map, and jointly train portions of the depth prediction system using a loss function. Consequently, depth prediction system is able to generate a depth map that identifies depths of objects using ordinal depth information and accurately delineates object boundaries within a single digital image.
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