公开(公告)号：US10977767B2

公开(公告)日：2021-04-13

申请号：US16202916

申请日：2018-11-28

Applicant: Adobe Inc.

Inventor： Subham Gupta ,  Nitish Singla

IPC: G06T3/00 ,  G06T11/60 ,  G06K9/00 ,  G06T5/20

Abstract: Systems and techniques for propagating spot healing edits from a source image to a target image include receiving a source image depicting a face with a healing region and a target image depicting the face. The face is detected in the source image including detecting facial feature points in the source image. The face is identified in the target image including detecting facial feature points in the target image. Facial feature point correspondence is determined between the facial feature points of the source image in the facial feature points of the target image. Region correspondence is determined between regions of the source image and regions of the target image using the facial feature point correspondence. The healing region of the face in the source image is transformed to a corresponding region of the face in the target image using the region correspondence.

公开(公告)号：US20210097084A1

公开(公告)日：2021-04-01

申请号：US16585159

申请日：2019-09-27

Applicant: Adobe Inc.

Inventor： Subham Gupta ,  Arnab Sil ,  Anuradha

IPC: G06F16/2457 ,  G06K9/62 ,  G06T7/00 ,  G06N3/04 ,  G06N3/08 ,  G09B19/00

Abstract: Techniques are disclosed for generating tutorial recommendations to users of image editing applications, based on image content. A methodology implementing the techniques according to an embodiment includes using neural networks configured to determine subject matter of a user provided image and to identify objects in the image. The method also includes selecting one or more proposed tutorials from a database of tutorials. The database is indexed by tutorial subject matter and tutorial object content, and the selection is based on a matching of the determined subject matter to the tutorial subject matter and a matching of the identified objects to the tutorial object content. The method further includes calculating an effectiveness score associated with each of the proposed tutorials, the effectiveness score based on application of the proposed tutorial to the image. The method further includes sorting the proposed tutorials for recommendation to the user based on the effectiveness scores.

公开(公告)号：US20200160039A1

公开(公告)日：2020-05-21

申请号：US16195580

申请日：2018-11-19

Applicant: Adobe Inc.

Inventor： Subham Gupta ,  Ajay Bedi

IPC: G06K9/00

Abstract: Systems and methods disclosed herein for providing people categorization within electronic images. One embodiment involves retrieving an input image from memory. The embodiment further involves determining one or more facial regions in the input image using a facial detection algorithm. The embodiment further involves identifying a number of features for each facial region. The embodiment further involves determining a subject face and a crowd face in the input image based on at least the number of features for the subject face being more than the number of features for the crowd face. The embodiment further involves displaying, on a display device, the subject face identified within the image.

公开(公告)号：US10586308B2

公开(公告)日：2020-03-10

申请号：US15590690

申请日：2017-05-09

Applicant: Adobe Inc.

Inventor： Krishna Singh Karki ,  Subham Gupta ,  Poonam Bhalla ,  Ajay Bedi

IPC: G06T3/40 ,  G06K9/20 ,  G06K9/40 ,  G06K9/62 ,  G06K9/34 ,  G06T5/50 ,  G06T7/194 ,  G06T5/00

Abstract: Techniques for removal of obstructions in a digital image scene are described, in which target and source digital images that exhibit parallax, one to another, are obtained that were captured together by an image capture device at a similar point in time using two different lenses of the image capture device. A foreground obstruction is identified based on displacement in apparent position of objects in the target and source digital images. The foreground obstruction is removed from the target digital image, such as by generating an obstruction mask that represents the location of the foreground obstruction and copying pixels from the source digital image to the target digital image based on the locations identified in the obstruction mask. The target digital image with the obstruction removed is output to a user interface or service provider system, for example.