Invention Grant
- Patent Title: Depth map generation from sparse depth samples in an augmented reality environment
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Application No.: US17202839Application Date: 2021-03-16
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Publication No.: US11989897B2Publication Date: 2024-05-21
- Inventor: Bing Zhou , Sinem Guven Kaya
- Applicant: International Business Machines Corporation
- Applicant Address: US NY Armonk
- Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
- Current Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
- Current Assignee Address: US NY Armonk
- Agency: Amin, Turocy & Watson, LLP
- Main IPC: G06T7/55
- IPC: G06T7/55 ; G06T17/20 ; G06T19/00

Abstract:
Systems, computer-implemented methods, and computer program products to facilitate sparse depth completion with semantic mesh deformation optimization in an augmented reality environment are provided. According to an embodiment, a system can comprise a processor that executes computer executable components stored in memory. The computer executable components comprise a depth completion component that generates a first depth map from an image and sparse depth samples. The computer executable components further comprise a semantic mesh deformation component that performs a semantic mesh deformation process, using the sparse depth samples, to generate a second depth map comprising a defined image accuracy.
Public/Granted literature
- US20220301205A1 DEPTH MAP GENERATION FROM SPARSE DEPTH SAMPLES IN AN AUGMENTED REALITY ENVIRONMENT Public/Granted day:2022-09-22
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