Invention Grant
- Patent Title: Depth map completion in visual content using semantic and three-dimensional information
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Application No.: US17650027Application Date: 2022-02-04
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Publication No.: US12260571B2Publication Date: 2025-03-25
- Inventor: Hong Cai , Shichong Peng , Janarbek Matai , Jamie Menjay Lin , Debasmit Das , Fatih Murat Porikli
- Applicant: QUALCOMM Incorporated
- Applicant Address: US CA San Diego
- Assignee: QUALCOMM Incorporated
- Current Assignee: QUALCOMM Incorporated
- Current Assignee Address: US CA San Diego
- Agency: QUALCOMM Incorporated
- Main IPC: G06K9/00
- IPC: G06K9/00 ; G06N3/045 ; G06T7/10 ; G06T7/50

Abstract:
Certain aspects of the present disclosure provide techniques for generating fine depth maps for images of a scene based on semantic segmentation and segment-based refinement neural networks. An example method generally includes generating, through a segmentation neural network, a segmentation map based on an image of a scene. The segmentation map generally comprises a map segmenting the scene into a plurality of regions, and each region of the plurality of regions is generally associated with one of a plurality of categories. A first depth map of the scene is generated through a first depth neural network based on a depth measurement of the scene. A second depth map of the scene is generated through a depth refinement neural network based on the segmentation map and the first depth map. One or more actions are taken based on the second depth map of the scene.
Public/Granted literature
- US20230252658A1 DEPTH MAP COMPLETION IN VISUAL CONTENT USING SEMANTIC AND THREE-DIMENSIONAL INFORMATION Public/Granted day:2023-08-10
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