Invention Application
- Patent Title: Joint Depth Estimation and Semantic Segmentation from a Single Image
- Patent Title (中): 单一图像的联合深度估计和语义分割
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Application No.: US14724660Application Date: 2015-05-28
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Publication No.: US20160350930A1Publication Date: 2016-12-01
- Inventor: Zhe Lin , Scott D. Cohen , Peng Wang , Xiaohui Shen , Brian L. Price
- Applicant: Adobe Systems Incorporated
- Main IPC: G06T7/00
- IPC: G06T7/00 ; G06K9/66 ; H04N13/02

Abstract:
Joint depth estimation and semantic labeling techniques usable for processing of a single image are described. In one or more implementations, global semantic and depth layouts are estimated of a scene of the image through machine learning by the one or more computing devices. Local semantic and depth layouts are also estimated for respective ones of a plurality of segments of the scene of the image through machine learning by the one or more computing devices. The estimated global semantic and depth layouts are merged with the local semantic and depth layouts by the one or more computing devices to semantically label and assign a depth value to individual pixels in the image.
Public/Granted literature
- US10019657B2 Joint depth estimation and semantic segmentation from a single image Public/Granted day:2018-07-10
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