WO2023008811A3 - Method for reconstructing masked face image by using neural network model - Google Patents

Method for reconstructing masked face image by using neural network model Download PDF

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Publication number
WO2023008811A3
WO2023008811A3 PCT/KR2022/010569 KR2022010569W WO2023008811A3 WO 2023008811 A3 WO2023008811 A3 WO 2023008811A3 KR 2022010569 W KR2022010569 W KR 2022010569W WO 2023008811 A3 WO2023008811 A3 WO 2023008811A3
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WO
WIPO (PCT)
Prior art keywords
face image
masked face
reconstructing
neural network
network model
Prior art date
Application number
PCT/KR2022/010569
Other languages
French (fr)
Korean (ko)
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WO2023008811A2 (en
Inventor
이광희
Original Assignee
이광희
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Priority claimed from KR1020220075569A external-priority patent/KR102547630B1/en
Application filed by 이광희 filed Critical 이광희
Publication of WO2023008811A2 publication Critical patent/WO2023008811A2/en
Publication of WO2023008811A3 publication Critical patent/WO2023008811A3/en

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Classifications

    • G06T5/77
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00Image enhancement or restoration
    • G06T5/50Image enhancement or restoration by the use of more than one image, e.g. averaging, subtraction
    • G06T5/60
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/10Segmentation; Edge detection
    • G06T7/11Region-based segmentation
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/16Human faces, e.g. facial parts, sketches or expressions
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/20Special algorithmic details
    • G06T2207/20081Training; Learning
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/20Special algorithmic details
    • G06T2207/20084Artificial neural networks [ANN]
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/30Subject of image; Context of image processing
    • G06T2207/30196Human being; Person
    • G06T2207/30201Face

Abstract

According to one embodiment of the present disclosure, disclosed is a masked face image reconstruction method performed by means of one or more processors of a computing device. The method may comprise the steps of: identifying a masked face image included in an image to be reconstructed; acquiring a non-masked face image of a person associated with the identified masked face image; and combining the acquired non-masked face image with the identified masked face image.
PCT/KR2022/010569 2021-07-29 2022-07-20 Method for reconstructing masked face image by using neural network model WO2023008811A2 (en)

Applications Claiming Priority (4)

Application Number Priority Date Filing Date Title
KR10-2021-0100100 2021-07-29
KR20210100100 2021-07-29
KR10-2022-0075569 2022-06-21
KR1020220075569A KR102547630B1 (en) 2021-07-29 2022-06-21 Method for restoring a masked face image by using the neural network model

Publications (2)

Publication Number Publication Date
WO2023008811A2 WO2023008811A2 (en) 2023-02-02
WO2023008811A3 true WO2023008811A3 (en) 2023-03-23

Family

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Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/KR2022/010569 WO2023008811A2 (en) 2021-07-29 2022-07-20 Method for reconstructing masked face image by using neural network model

Country Status (2)

Country Link
KR (1) KR20230095902A (en)
WO (1) WO2023008811A2 (en)

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20170085477A (en) * 2014-08-04 2017-07-24 페이스북, 인크. Method and system for reconstructing obstructed face portions for virtual reality environment
CN108205659A (en) * 2017-11-30 2018-06-26 深圳市深网视界科技有限公司 Face occluder removes and its method, equipment and the medium of model construction
JP2019102081A (en) * 2017-12-05 2019-06-24 富士通株式会社 Data processing apparatus and data processing method
CN110728628A (en) * 2019-08-30 2020-01-24 南京航空航天大学 Face de-occlusion method for generating confrontation network based on condition
CN112633130A (en) * 2020-12-18 2021-04-09 成都三零凯天通信实业有限公司 Face mask removing method based on key point restoration image

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20170085477A (en) * 2014-08-04 2017-07-24 페이스북, 인크. Method and system for reconstructing obstructed face portions for virtual reality environment
CN108205659A (en) * 2017-11-30 2018-06-26 深圳市深网视界科技有限公司 Face occluder removes and its method, equipment and the medium of model construction
JP2019102081A (en) * 2017-12-05 2019-06-24 富士通株式会社 Data processing apparatus and data processing method
CN110728628A (en) * 2019-08-30 2020-01-24 南京航空航天大学 Face de-occlusion method for generating confrontation network based on condition
CN112633130A (en) * 2020-12-18 2021-04-09 成都三零凯天通信实业有限公司 Face mask removing method based on key point restoration image

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Publication number Publication date
KR20230095902A (en) 2023-06-29
WO2023008811A2 (en) 2023-02-02

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