Invention Grant
- Patent Title: Computer architecture for artificial image generation using auto-encoder
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Application No.: US16550040Application Date: 2019-08-23
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Publication No.: US11107250B2Publication Date: 2021-08-31
- Inventor: Peter Kim , Michael J. Sand , Matthew D. Hollenbeck
- Applicant: Raytheon Company
- Applicant Address: US MA Waltham
- Assignee: Raytheon Company
- Current Assignee: Raytheon Company
- Current Assignee Address: US MA Waltham
- Agency: Schwegman Lundberg & Woessner, P.A.
- Main IPC: G06T9/00
- IPC: G06T9/00 ; G06N20/10 ; G06K9/00 ; G06N3/08 ; G06T15/60 ; G06T17/00 ; G06K9/62

Abstract:
A computer architecture for artificial image generation is disclosed. According to some aspects, a computing machine receives a voxel model of a first set of objects different from a target object. The target object is to be recognized using an image recognizer. The computing machine generates, based on the voxel model, a set of TSB (target shadow background-mask) images of the first set of objects. The computing machine receives, at an auto-encoder, a set of real images of the first set of objects. The computing machine generates, using the auto-encoder, one or more artificial images of the target object based on the set of TSB images. The auto-encoder learns differences between the target object and the first set of objects. The computing machine provides, as output, the generated one or more artificial images of the target object.
Public/Granted literature
- US20200167966A1 COMPUTER ARCHITECTURE FOR ARTIFICIAL IMAGE GENERATION USING AUTO-ENCODER Public/Granted day:2020-05-28
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