Invention Application
- Patent Title: INTERACTIVE IMAGE MATTING USING NEURAL NETWORKS
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Application No.: US16365213Application Date: 2019-03-26
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Publication No.: US20200311946A1Publication Date: 2020-10-01
- Inventor: Brian Lynn Price , Scott Cohen , Marco Forte , Ning Xu
- Applicant: Adobe Inc.
- Applicant Address: US CA San Jose
- Assignee: Adobe Inc.
- Current Assignee: Adobe Inc.
- Current Assignee Address: US CA San Jose
- Main IPC: G06T7/194
- IPC: G06T7/194 ; G06T7/136 ; G06T3/40 ; G06T7/90

Abstract:
Techniques are disclosed for deep neural network (DNN) based interactive image matting. A methodology implementing the techniques according to an embodiment includes generating, by the DNN, an alpha matte associated with an image, based on user-specified foreground region locations in the image. The method further includes applying a first DNN subnetwork to the image, the first subnetwork trained to generate a binary mask based on the user input, the binary mask designating pixels of the image as background or foreground. The method further includes applying a second DNN subnetwork to the generated binary mask, the second subnetwork trained to generate a trimap based on the user input, the trimap designating pixels of the image as background, foreground, or uncertain status. The method further includes applying a third DNN subnetwork to the generated trimap, the third subnetwork trained to generate the alpha matte based on the user input.
Public/Granted literature
- US11004208B2 Interactive image matting using neural networks Public/Granted day:2021-05-11
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