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公开(公告)号：US20180253865A1
公开(公告)日：2018-09-06
申请号：US15448541
申请日：2017-03-02
Applicant: ADOBE SYSTEMS INCORPORATED
Inventor： Brian Lynn Price , Stephen Schiller , Scott Cohen , Ning Xu
CPC classification number: G06T7/194 , G06K9/4604 , G06K9/4652 , G06K2009/366 , G06K2009/4666 , G06N3/088 , G06T7/11 , G06T7/90 , G06T2207/10024 , G06T2207/20081 , G06T2207/20084
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.
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公开(公告)号：US10255681B2
公开(公告)日：2019-04-09
申请号：US15448541
申请日：2017-03-02
Applicant: ADOBE SYSTEMS INCORPORATED
Inventor： Brian Lynn Price , Stephen Schiller , Scott Cohen , Ning Xu
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.
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公开(公告)号：US10192129B2
公开(公告)日：2019-01-29
申请号：US14945245
申请日：2015-11-18
Applicant: Adobe Systems Incorporated
Inventor： Brian Price , Scott Cohen , Ning Xu
Abstract: Systems and methods are disclosed for selecting target objects within digital images. In particular, in one or more embodiments, the disclosed systems and methods generate a trained neural network based on training digital images and training indicators. Moreover, one or more embodiments of the disclosed systems and methods utilize a trained neural network and iterative user indicators to select targeted objects in digital images. Specifically, the disclosed systems and methods can transform user indicators into distance maps that can be utilized in conjunction with color channels and a trained neural network to identify pixels that reflect the target object.
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公开(公告)号：US20170140236A1
公开(公告)日：2017-05-18
申请号：US14945245
申请日：2015-11-18
Applicant: Adobe Systems Incorporated
Inventor： Brian Price , Scott Cohen , Ning Xu
CPC classification number: G06K9/3241 , G06K9/4628 , G06K2009/366
Abstract: Systems and methods are disclosed for selecting target objects within digital images. In particular, in one or more embodiments, the disclosed systems and methods generate a trained neural network based on training digital images and training indicators. Moreover, one or more embodiments of the disclosed systems and methods utilize a trained neural network and iterative user indicators to select targeted objects in digital images. Specifically, the disclosed systems and methods can transform user indicators into distance maps that can be utilized in conjunction with color channels and a trained neural network to identify pixels that reflect the target object.
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