Invention Grant
- Patent Title: Deep learning from real world and digital exemplars
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Application No.: US16148061Application Date: 2018-10-01
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Publication No.: US10888777B2Publication Date: 2021-01-12
- Inventor: Aaron K. Baughman , Venkatesh A. R. Rao , Mary E. Rudden
- 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: Schmeiser, Olsen & Watts, LLP
- Agent Brian Restauro
- Main IPC: A63F13/25
- IPC: A63F13/25 ; G06N3/08 ; G06N3/04 ; G06T11/00 ; G06T9/00 ; G06K9/62

Abstract:
A method of deep learning from real world and digital exemplars includes determining, by one or more processors of a computer system, a style component of a digital environment of a game platform, combining, by the one or more processors of the computer system, the style component with content derived from a real world exemplar, morphing, by one or more processors of a computer system, the real world exemplar to an augmented digital exemplar of the game platform, and adapting, by the one or more processors of the computer system, at least one deep learning algorithm to accomplish at least one of the determining, combining and morphing.
Public/Granted literature
- US3149433A Decoy anchors Public/Granted day:1964-09-22
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