Invention Grant
- Patent Title: Object segmentation using high-level structural meshes
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Application No.: US16666786Application Date: 2019-10-29
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Publication No.: US11017595B2Publication Date: 2021-05-25
- Inventor: Yuri Pekelny , Rahul Sawhney , Muhammad Jabir Kapasi , Szymon P. Stachniak , Michelle Lynn Brook
- Applicant: MICROSOFT TECHNOLOGY LICENSING, LLC
- Applicant Address: US WA Redmond
- Assignee: MICROSOFT TECHNOLOGY LICENSING, LLC
- Current Assignee: MICROSOFT TECHNOLOGY LICENSING, LLC
- Current Assignee Address: US WA Redmond
- Agency: Workman Nydegger
- Main IPC: G06T15/30
- IPC: G06T15/30 ; G06T17/20 ; G06F17/18 ; G06T7/10 ; G06N20/00

Abstract:
Improved techniques for performing object segmentation are disclosed. Surface reconstruction (SR) data corresponding to an environment is accessed. This SR data is used to generate a detailed three-dimensional (3D) representation of the environment. The SR data is also used to infer a high-level 3D structural representation of the environment. The high-level 3D structural representation is inferred using machine learning that is performed on the surface reconstruction data to identify a structure of the environment. The high-level 3D structural representation is then cut from the detailed 3D representation. This cutting process generates a clutter mesh comprising objects that remain after the cut and that are distinct from the structure. Object segmentation is then performed on the remaining objects to identify those objects.
Public/Granted literature
- US20210125407A1 OBJECT SEGMENTATION USING HIGH-LEVEL STRUCTURAL MESHES Public/Granted day:2021-04-29
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