Invention Grant
- Patent Title: Image matting using deep learning
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Application No.: US16359880Application Date: 2019-03-20
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Publication No.: US10657652B2Publication Date: 2020-05-19
- Inventor: Brian Lynn Price , Stephen Schiller , Scott Cohen , 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
- Agency: Shook, Hardy & Bacon, L.L.P.
- Main IPC: G06T7/194
- IPC: G06T7/194 ; G06T7/90 ; G06N3/08 ; G06T7/11 ; G06N3/04

Abstract:
Methods and systems are provided for generating mattes for input images. A neural network system can be trained where the training includes training a first neural network that generates mattes for input images where the input images are synthetic composite images. Such a neural network system can further be trained where the training includes training a second neural network that generates refined mattes from the mattes produced by the first neural network. Such a trained neural network system can be used to input an image and trimap pair for which the trained system will output a matte. Such a matte can be used to extract an object from the input image. Upon extracting the object, a user can manipulate the object, for example, to composite the object onto a new background.
Public/Granted literature
- US20190220983A1 IMAGE MATTING USING DEEP LEARNING Public/Granted day:2019-07-18
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