Invention Grant
- Patent Title: Facial model mapping with a neural network trained on varying levels of detail of facial scans
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Application No.: US17197208Application Date: 2021-03-10
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Publication No.: US11354774B2Publication Date: 2022-06-07
- Inventor: Byung Kuk Choi
- Applicant: Unity Technologies SF
- Applicant Address: US CA San Francisco
- Assignee: Unity Technologies SF
- Current Assignee: Unity Technologies SF
- Current Assignee Address: US CA San Francisco
- Agency: Haynes and Boone LLP
- Agent Philip H. Albert
- Main IPC: G06T3/40
- IPC: G06T3/40 ; G06T17/20 ; G06T13/40 ; G06T7/73

Abstract:
In an image processing system, a scan of an actor is converted to a high-resolution two-dimensional map, which is converted to low-resolution map and to a facial rig model. Manipulations of the facial rig create a modified facial rig. A new low-resolution two-dimensional map can be obtained of the modified facial rig and a neural network can be used to generate a new high-resolution two-dimensional map that can be used to generate a mesh that is a mesh of the scan, modified by the manipulations of the facial rig.
Public/Granted literature
- US20220108422A1 Facial Model Mapping with a Neural Network Trained on Varying Levels of Detail of Facial Scans Public/Granted day:2022-04-07
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