公开(公告)号：US11756208B2

公开(公告)日：2023-09-12

申请号：US17544048

申请日：2021-12-07

Applicant: Adobe Inc.

Inventor： Brian Lynn Price ,  Peng Zhou ,  Scott David Cohen ,  Gregg Darryl Wilensky

IPC: G06T7/00 ,  G06T7/13

CPC classification number: G06T7/13 ,  G06T2207/20081 ,  G06T2207/20084

Abstract: In implementations of object boundary generation, a computing device implements a boundary system to receive a mask defining a contour of an object depicted in a digital image, the mask having a lower resolution than the digital image. The boundary system maps a curve to the contour of the object and extracts strips of pixels from the digital image which are normal to points of the curve. A sample of the digital image is generated using the extracted strips of pixels which is input to a machine learning model. The machine learning model outputs a representation of a boundary of the object by processing the sample of the digital image.

公开(公告)号：US20220092790A1

公开(公告)日：2022-03-24

申请号：US17544048

申请日：2021-12-07

Applicant: Adobe Inc.

Inventor： Brian Lynn Price ,  Peng Zhou ,  Scott David Cohen ,  Gregg Darryl Wilensky

IPC: G06T7/13

Abstract: In implementations of object boundary generation, a computing device implements a boundary system to receive a mask defining a contour of an object depicted in a digital image, the mask having a lower resolution than the digital image. The boundary system maps a curve to the contour of the object and extracts strips of pixels from the digital image which are normal to points of the curve. A sample of the digital image is generated using the extracted strips of pixels which is input to a machine learning model. The machine learning model outputs a representation of a boundary of the object by processing the sample of the digital image.

公开(公告)号：US20210295525A1

公开(公告)日：2021-09-23

申请号：US16822853

申请日：2020-03-18

Applicant: Adobe Inc.

Inventor： Brian Lynn Price ,  Peng Zhou ,  Scott David Cohen ,  Gregg Darryl Wilensky

IPC: G06T7/13

Abstract: In implementations of object boundary generation, a computing device implements a boundary system to receive a mask defining a contour of an object depicted in a digital image, the mask having a lower resolution than the digital image. The boundary system maps a curve to the contour of the object and extracts strips of pixels from the digital image which are normal to points of the curve. A sample of the digital image is generated using the extracted strips of pixels which is input to a machine learning model. The machine learning model outputs a representation of a boundary of the object by processing the sample of the digital image.

公开(公告)号：US11244460B2

公开(公告)日：2022-02-08

申请号：US16822853

申请日：2020-03-18

Applicant: Adobe Inc.

Inventor： Brian Lynn Price ,  Peng Zhou ,  Scott David Cohen ,  Gregg Darryl Wilensky

IPC: G06T7/00 ,  G06T7/13

Abstract: In implementations of object boundary generation, a computing device implements a boundary system to receive a mask defining a contour of an object depicted in a digital image, the mask having a lower resolution than the digital image. The boundary system maps a curve to the contour of the object and extracts strips of pixels from the digital image which are normal to points of the curve. A sample of the digital image is generated using the extracted strips of pixels which is input to a machine learning model. The machine learning model outputs a representation of a boundary of the object by processing the sample of the digital image.