Electronic device and method for controlling the same

전자 장치의 제어 방법은 저장된 사용자의 이미지 및 입력 이미지를 각각 전처리(Pre-processing)하는 단계; 상기 전처리된 사용자의 이미지와 상기 전처리된 입력 이미지간 차이를 결정하는 단계; 상기 전처리된 사용자의 이미지 및 상기 전처리된 입력 이미지의 안면 질감(Face Texture) 정보를 각각 추출하는 단계; 및 상기 추출된 안면 질감 정보 및 상기 결정된 차이에 기초하여 사용자 인증을 수행하는 단계;를 포함할 수 있다. FIELD: data processing.SUBSTANCE: invention relates...

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Hauptverfasser: GNATYUK VITALY SERGEEVITCH, ODINOKIKH GLEB ANDREEVITCH, LEE YANG SOO, YOO JU WOAN, MOSKALENKO ALENA DMITRIEVNA, EREMEEV VLADIMIR ALEKSEEVITCH, EFIMOV YURY SERGEEVITCH, LEE KWANG HYUN, LEE HEE JUN, MOROZOV VIKTOR EVSEEVITCH, DUBYSHKIN IGNATY ARKADYEVITCH, PARAMONOV VLADIMIR PETROVITCH, FARTUKOV ALEXEY MIKHAILOVITCH, PECHENKO IVAN SERGEEVITCH, SOLOMATIN IVAN ANDREEVITCH
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creator GNATYUK VITALY SERGEEVITCH
ODINOKIKH GLEB ANDREEVITCH
LEE YANG SOO
YOO JU WOAN
MOSKALENKO ALENA DMITRIEVNA
EREMEEV VLADIMIR ALEKSEEVITCH
EFIMOV YURY SERGEEVITCH
LEE KWANG HYUN
LEE HEE JUN
MOROZOV VIKTOR EVSEEVITCH
DUBYSHKIN IGNATY ARKADYEVITCH
PARAMONOV VLADIMIR PETROVITCH
FARTUKOV ALEXEY MIKHAILOVITCH
PECHENKO IVAN SERGEEVITCH
SOLOMATIN IVAN ANDREEVITCH
description 전자 장치의 제어 방법은 저장된 사용자의 이미지 및 입력 이미지를 각각 전처리(Pre-processing)하는 단계; 상기 전처리된 사용자의 이미지와 상기 전처리된 입력 이미지간 차이를 결정하는 단계; 상기 전처리된 사용자의 이미지 및 상기 전처리된 입력 이미지의 안면 질감(Face Texture) 정보를 각각 추출하는 단계; 및 상기 추출된 안면 질감 정보 및 상기 결정된 차이에 기초하여 사용자 인증을 수행하는 단계;를 포함할 수 있다. FIELD: data processing.SUBSTANCE: invention relates to face recognition. Method for assessing asymmetry of a person's face comprises steps of: capturing an image of a person using a camera; converting the captured image of a person into an image of a person with aligned lighting; retrieving features of asymmetry of a person's face from an image of a person with aligned lighting; detecting areas of part of face on person image with aligned lighting; retrieving asymmetry features for each detected area of a face from each detected area of a face; asymmetry of the human face is evaluated by processing asymmetry features trained by the convolution neural network for each detected area of the face and features of asymmetry of the human face.EFFECT: technical result consists in improvement of human face asymmetry assessment efficiency and prediction of human face and user face similarity for mobile device in real time with low computational load.9 cl, 6 dwg
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FIELD: data processing.SUBSTANCE: invention relates to face recognition. Method for assessing asymmetry of a person's face comprises steps of: capturing an image of a person using a camera; converting the captured image of a person into an image of a person with aligned lighting; retrieving features of asymmetry of a person's face from an image of a person with aligned lighting; detecting areas of part of face on person image with aligned lighting; retrieving asymmetry features for each detected area of a face from each detected area of a face; asymmetry of the human face is evaluated by processing asymmetry features trained by the convolution neural network for each detected area of the face and features of asymmetry of the human face.EFFECT: technical result consists in improvement of human face asymmetry assessment efficiency and prediction of human face and user face similarity for mobile device in real time with low computational load.9 cl, 6 dwg</description><language>eng ; kor</language><subject>CALCULATING ; COMPUTING ; COUNTING ; ELECTRIC DIGITAL DATA PROCESSING ; HANDLING RECORD CARRIERS ; IMAGE DATA PROCESSING OR GENERATION, IN GENERAL ; PHYSICS ; PRESENTATION OF DATA ; RECOGNITION OF DATA ; RECORD CARRIERS</subject><creationdate>2021</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&amp;date=20210618&amp;DB=EPODOC&amp;CC=KR&amp;NR=20210073434A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25564,76547</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&amp;date=20210618&amp;DB=EPODOC&amp;CC=KR&amp;NR=20210073434A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>GNATYUK VITALY SERGEEVITCH</creatorcontrib><creatorcontrib>ODINOKIKH GLEB ANDREEVITCH</creatorcontrib><creatorcontrib>LEE YANG SOO</creatorcontrib><creatorcontrib>YOO JU WOAN</creatorcontrib><creatorcontrib>MOSKALENKO ALENA DMITRIEVNA</creatorcontrib><creatorcontrib>EREMEEV VLADIMIR ALEKSEEVITCH</creatorcontrib><creatorcontrib>EFIMOV YURY SERGEEVITCH</creatorcontrib><creatorcontrib>LEE KWANG HYUN</creatorcontrib><creatorcontrib>LEE HEE JUN</creatorcontrib><creatorcontrib>MOROZOV VIKTOR EVSEEVITCH</creatorcontrib><creatorcontrib>DUBYSHKIN IGNATY ARKADYEVITCH</creatorcontrib><creatorcontrib>PARAMONOV VLADIMIR PETROVITCH</creatorcontrib><creatorcontrib>FARTUKOV ALEXEY MIKHAILOVITCH</creatorcontrib><creatorcontrib>PECHENKO IVAN SERGEEVITCH</creatorcontrib><creatorcontrib>SOLOMATIN IVAN ANDREEVITCH</creatorcontrib><title>Electronic device and method for controlling the same</title><description>전자 장치의 제어 방법은 저장된 사용자의 이미지 및 입력 이미지를 각각 전처리(Pre-processing)하는 단계; 상기 전처리된 사용자의 이미지와 상기 전처리된 입력 이미지간 차이를 결정하는 단계; 상기 전처리된 사용자의 이미지 및 상기 전처리된 입력 이미지의 안면 질감(Face Texture) 정보를 각각 추출하는 단계; 및 상기 추출된 안면 질감 정보 및 상기 결정된 차이에 기초하여 사용자 인증을 수행하는 단계;를 포함할 수 있다. 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Method for assessing asymmetry of a person's face comprises steps of: capturing an image of a person using a camera; converting the captured image of a person into an image of a person with aligned lighting; retrieving features of asymmetry of a person's face from an image of a person with aligned lighting; detecting areas of part of face on person image with aligned lighting; retrieving asymmetry features for each detected area of a face from each detected area of a face; asymmetry of the human face is evaluated by processing asymmetry features trained by the convolution neural network for each detected area of the face and features of asymmetry of the human face.EFFECT: technical result consists in improvement of human face asymmetry assessment efficiency and prediction of human face and user face similarity for mobile device in real time with low computational load.9 cl, 6 dwg</description><subject>CALCULATING</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>ELECTRIC DIGITAL DATA PROCESSING</subject><subject>HANDLING RECORD CARRIERS</subject><subject>IMAGE DATA PROCESSING OR GENERATION, IN GENERAL</subject><subject>PHYSICS</subject><subject>PRESENTATION OF DATA</subject><subject>RECOGNITION OF DATA</subject><subject>RECORD CARRIERS</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2021</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZDB1zUlNLinKz8tMVkhJLctMTlVIzEtRyE0tychPUUjLL1JIzs8DyufkZOalK5RkpCoUJ-am8jCwpiXmFKfyQmluBmU31xBnD93Ugvz41OKCxOTUvNSSeO8gIwMjQwMDc2MTYxNHY-JUAQAHVy3R</recordid><startdate>20210618</startdate><enddate>20210618</enddate><creator>GNATYUK VITALY SERGEEVITCH</creator><creator>ODINOKIKH GLEB ANDREEVITCH</creator><creator>LEE YANG SOO</creator><creator>YOO JU WOAN</creator><creator>MOSKALENKO ALENA DMITRIEVNA</creator><creator>EREMEEV VLADIMIR ALEKSEEVITCH</creator><creator>EFIMOV YURY SERGEEVITCH</creator><creator>LEE KWANG HYUN</creator><creator>LEE HEE JUN</creator><creator>MOROZOV VIKTOR EVSEEVITCH</creator><creator>DUBYSHKIN IGNATY ARKADYEVITCH</creator><creator>PARAMONOV VLADIMIR PETROVITCH</creator><creator>FARTUKOV ALEXEY MIKHAILOVITCH</creator><creator>PECHENKO IVAN SERGEEVITCH</creator><creator>SOLOMATIN IVAN ANDREEVITCH</creator><scope>EVB</scope></search><sort><creationdate>20210618</creationdate><title>Electronic device and method for controlling the same</title><author>GNATYUK VITALY SERGEEVITCH ; 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상기 전처리된 사용자의 이미지와 상기 전처리된 입력 이미지간 차이를 결정하는 단계; 상기 전처리된 사용자의 이미지 및 상기 전처리된 입력 이미지의 안면 질감(Face Texture) 정보를 각각 추출하는 단계; 및 상기 추출된 안면 질감 정보 및 상기 결정된 차이에 기초하여 사용자 인증을 수행하는 단계;를 포함할 수 있다. FIELD: data processing.SUBSTANCE: invention relates to face recognition. Method for assessing asymmetry of a person's face comprises steps of: capturing an image of a person using a camera; converting the captured image of a person into an image of a person with aligned lighting; retrieving features of asymmetry of a person's face from an image of a person with aligned lighting; detecting areas of part of face on person image with aligned lighting; retrieving asymmetry features for each detected area of a face from each detected area of a face; asymmetry of the human face is evaluated by processing asymmetry features trained by the convolution neural network for each detected area of the face and features of asymmetry of the human face.EFFECT: technical result consists in improvement of human face asymmetry assessment efficiency and prediction of human face and user face similarity for mobile device in real time with low computational load.9 cl, 6 dwg</abstract><oa>free_for_read</oa></addata></record>
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subjects CALCULATING
COMPUTING
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
HANDLING RECORD CARRIERS
IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
PHYSICS
PRESENTATION OF DATA
RECOGNITION OF DATA
RECORD CARRIERS
title Electronic device and method for controlling the same
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