Invention Grant
- Patent Title: Patch-based scene segmentation using neural networks
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Application No.: US16135948Application Date: 2018-09-19
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Publication No.: US10853934B2Publication Date: 2020-12-01
- Inventor: Lai Him Matthew Man , Mohammad Soltani , Ahmed Aly , Walid Aly
- Applicant: indus.ai Inc
- Applicant Address: CA North York
- Assignee: indus.ai Inc
- Current Assignee: indus.ai Inc
- Current Assignee Address: CA North York
- Agency: Hickman Palermo Becker Bingham LLP
- Agent Malgorzata A. Kulczycka
- Main IPC: G06T7/00
- IPC: G06T7/00 ; G06T7/11 ; G06T7/187 ; G06T3/40 ; G06N3/08

Abstract:
A method and a system for patch-based scene segmentation using neural networks are presented. In an embodiment, a method comprises: using one or more computing devices, receiving a digital image comprising test image; using the one or more computing devices, creating, based on the test image, a plurality of grid patches; using the one or more computing devices, receiving a plurality of classifiers that have been trained to identify one or more materials of a plurality of materials; using the one or more computing devices, for each patch of the plurality of grid patches, labelling each pixel of a patch with a label obtained by applying, to the patch, one or more classifiers from the plurality of classifiers; using the one or more computing devices, generating, based on labels assigned to pixels of the plurality of grid patches, a grid of labels for the test image.
Public/Granted literature
- US20200090316A1 PATCH-BASED SCENE SEGMENTATION USING NEURAL NETWORKS Public/Granted day:2020-03-19
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