OBJECT SEGMENTATION USING HIGH-LEVEL STRUCTURAL MESHES

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...

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Bibliographic Details
Main Authors STACHNIAK, Szymon P, KAPASI, Muhammad Jabir, SAWHNEY, Rahul, BROOK, Michelle Lynn, PEKELNY, Yuri
Format Patent
LanguageEnglish
French
German
Published 07.09.2022
Subjects
CALCULATING
COMPUTING
COUNTING
IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
PHYSICS
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Summary: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.
Bibliography:Application Number: EP20200808552