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Foolproof group photo on handheld mobile devices via smart mix and match

A region and identification technology, applied in the direction of graphic image conversion, character and pattern recognition, image enhancement, etc., can solve the problem of inconsistency in enhanced images

Pending Publication Date: 2020-05-19
ADOBE SYST INC
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Consequently, enhanced images produced by conventional photo management systems will often include inconsistent

Method used

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  • Foolproof group photo on handheld mobile devices via smart mix and match
  • Foolproof group photo on handheld mobile devices via smart mix and match
  • Foolproof group photo on handheld mobile devices via smart mix and match

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Embodiment Construction

[0024] One or more embodiments of the present disclosure include an image region replacement system that can generate seamless Mix and match images. Specifically, in one or more embodiments, an image region replacement system aligns multiple images, identifies one or more faces in a reference image that have a better appearance in other images, and places The intelligently determined replacement regions of , are replaced with similar regions in the image that have a better appearance of those faces. The selection of the replacement region aims to minimize artifacts in the final image by ensuring that the entire face in the reference image is replaced with the entire face in the target image, and by ensuring that the replacement region boundaries are uniform and less structured across the image of pixels.

[0025] More specifically, the image region replacement system aligns a reference image comprising a reference instance of a person with a target image comprising a more ae...

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Abstract

The present disclosure is directed toward intelligently mixing and matching faces and / or people to generate an enhanced image that reduces or minimize artifacts and other defects. For example, the disclosed systems can selectively apply different alignment models to determine a relative alignment between a references image and a target image having an improved instance of the person. Upon aligningthe digital images, the disclosed systems can intelligently identify a replacement region based on a boundary that includes the target instance and the reference instance of the person without intersecting other objects or people in the image. Using the size and shape of the replacement region around the target instance and the reference instance, the systems replace the instance of the person inthe reference image with the target instance. The alignment of the images and the intelligent selection of the replacement region minimize inconsistencies and / or artifacts in the final image.

Description

Background technique [0001] In recent years, there has been a marked increase in both digital photography and the technologies used in it. Indeed, the advent of smart phones with integrated high-quality cameras has resulted in a large percentage of people carrying a digital camera almost always with them. This has resulted in a massive increase in the number of digital photos taken. Not only has the number of digital photos increased recently, but so has the ease and speed of sharing digital photos. For example, smartphones with social networking applications allow users to share digital photos almost immediately after capture. Users now seek to capture and share the "perfect picture" as quickly as possible. [0002] The latest advance in helping photographers capture high-quality photos is the burst mode, or continuous shooting. A digital camera with a burst mode captures multiple frames or images per second. Indeed, a digital camera with a burst mode can capture dozens ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/34G06T3/00G06N3/04G06N3/08
CPCG06N3/084G06V40/172G06V40/166G06V40/168G06V10/267G06N3/045G06T3/04G06T11/60G06T5/50G06T7/11G06T7/162G06T7/33G06T2207/20081G06T2207/20084G06T2207/30196G06T2207/30201G06T2207/10016G06V40/169G06V40/175G06V10/454G06V10/82G06T5/60G06V40/161G06V40/167
Inventor S·M·萨夫达内贾德C-Y·谢
Owner ADOBE SYST INC