APPARATUS AND METHOD FOR DETECTING FORGERY OR ALTERATION OF THE FACE
Disclosed are an apparatus and method for detecting the forgery or alteration of a face. A method for detecting the forgery or alteration of a face according to an embodiment of the present application may include the steps of: generating a first neural network for extracting the latent feature of a...
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| creator | LIM SEOKJAE YOUNGSAM KIM CHO KWANTAE KIM WONJUN SANGRAE CHO JONG HYUK NOH |
| description | Disclosed are an apparatus and method for detecting the forgery or alteration of a face. A method for detecting the forgery or alteration of a face according to an embodiment of the present application may include the steps of: generating a first neural network for extracting the latent feature of an actual face by performing learning based on learning data including a plurality of face images; generating a second neural network for extracting correlation with the actual face by performing learning based on the latent feature extracted by the first neural network; and receiving an analysis target image, and detecting whether a face region in the analysis target image is forged or altered based on the first neural network and the second neural network.
얼굴 위변조 검출 장치 및 방법이 개시되며, 본원의 일 실시예에 따른 얼굴 위변조 검출 방법은, 복수의 얼굴 영상을 포함하는 학습 데이터를 기초로 학습을 수행하여 실제 얼굴에 대한 잠재 특징을 추출하는 제1신경망을 생성하는 단계, 상기 제1신경망에 의해 추출된 잠재 특징을 기초로 학습을 수행하여 실제 얼굴과의 상관도를 추출하는 제2신경망을 생성하는 단계 및 분석 대상 영상을 수신하고, 상기 제1신경망 및 상기 제2신경망에 기초하여 상기 분석 대상 영상 내의 얼굴 영역에 대한 위변조 여부를 검출하는 단계를 포함할 수 있다. |
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| fullrecord | <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_KR20220037861A</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>KR20220037861A</sourcerecordid><originalsourceid>FETCH-epo_espacenet_KR20220037861A3</originalsourceid><addsrcrecordid>eNrjZHBxDAhwDHIMCQ1WcPRzUfB1DfHwd1Fw8w9ScHENcXUO8fRzB_HcXYMiFYCCjj4hrkDVnv5-Cv5uCiEergpujs6uPAysaYk5xam8UJqbQdnNNcTZQze1ID8-tbggMTk1L7Uk3jvIyMDIyMDA2NzCzNDRmDhVAN7JLD8</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>APPARATUS AND METHOD FOR DETECTING FORGERY OR ALTERATION OF THE FACE</title><source>esp@cenet</source><creator>LIM SEOKJAE ; YOUNGSAM KIM ; CHO KWANTAE ; KIM WONJUN ; SANGRAE CHO ; JONG HYUK NOH</creator><creatorcontrib>LIM SEOKJAE ; YOUNGSAM KIM ; CHO KWANTAE ; KIM WONJUN ; SANGRAE CHO ; JONG HYUK NOH</creatorcontrib><description>Disclosed are an apparatus and method for detecting the forgery or alteration of a face. A method for detecting the forgery or alteration of a face according to an embodiment of the present application may include the steps of: generating a first neural network for extracting the latent feature of an actual face by performing learning based on learning data including a plurality of face images; generating a second neural network for extracting correlation with the actual face by performing learning based on the latent feature extracted by the first neural network; and receiving an analysis target image, and detecting whether a face region in the analysis target image is forged or altered based on the first neural network and the second neural network.
얼굴 위변조 검출 장치 및 방법이 개시되며, 본원의 일 실시예에 따른 얼굴 위변조 검출 방법은, 복수의 얼굴 영상을 포함하는 학습 데이터를 기초로 학습을 수행하여 실제 얼굴에 대한 잠재 특징을 추출하는 제1신경망을 생성하는 단계, 상기 제1신경망에 의해 추출된 잠재 특징을 기초로 학습을 수행하여 실제 얼굴과의 상관도를 추출하는 제2신경망을 생성하는 단계 및 분석 대상 영상을 수신하고, 상기 제1신경망 및 상기 제2신경망에 기초하여 상기 분석 대상 영상 내의 얼굴 영역에 대한 위변조 여부를 검출하는 단계를 포함할 수 있다.</description><language>eng ; kor</language><subject>CALCULATING ; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS ; COMPUTING ; COUNTING ; HANDLING RECORD CARRIERS ; PHYSICS ; PRESENTATION OF DATA ; RECOGNITION OF DATA ; RECORD CARRIERS</subject><creationdate>2022</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&date=20220325&DB=EPODOC&CC=KR&NR=20220037861A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,777,882,25545,76296</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20220325&DB=EPODOC&CC=KR&NR=20220037861A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>LIM SEOKJAE</creatorcontrib><creatorcontrib>YOUNGSAM KIM</creatorcontrib><creatorcontrib>CHO KWANTAE</creatorcontrib><creatorcontrib>KIM WONJUN</creatorcontrib><creatorcontrib>SANGRAE CHO</creatorcontrib><creatorcontrib>JONG HYUK NOH</creatorcontrib><title>APPARATUS AND METHOD FOR DETECTING FORGERY OR ALTERATION OF THE FACE</title><description>Disclosed are an apparatus and method for detecting the forgery or alteration of a face. A method for detecting the forgery or alteration of a face according to an embodiment of the present application may include the steps of: generating a first neural network for extracting the latent feature of an actual face by performing learning based on learning data including a plurality of face images; generating a second neural network for extracting correlation with the actual face by performing learning based on the latent feature extracted by the first neural network; and receiving an analysis target image, and detecting whether a face region in the analysis target image is forged or altered based on the first neural network and the second neural network.
얼굴 위변조 검출 장치 및 방법이 개시되며, 본원의 일 실시예에 따른 얼굴 위변조 검출 방법은, 복수의 얼굴 영상을 포함하는 학습 데이터를 기초로 학습을 수행하여 실제 얼굴에 대한 잠재 특징을 추출하는 제1신경망을 생성하는 단계, 상기 제1신경망에 의해 추출된 잠재 특징을 기초로 학습을 수행하여 실제 얼굴과의 상관도를 추출하는 제2신경망을 생성하는 단계 및 분석 대상 영상을 수신하고, 상기 제1신경망 및 상기 제2신경망에 기초하여 상기 분석 대상 영상 내의 얼굴 영역에 대한 위변조 여부를 검출하는 단계를 포함할 수 있다.</description><subject>CALCULATING</subject><subject>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>HANDLING RECORD CARRIERS</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>2022</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZHBxDAhwDHIMCQ1WcPRzUfB1DfHwd1Fw8w9ScHENcXUO8fRzB_HcXYMiFYCCjj4hrkDVnv5-Cv5uCiEergpujs6uPAysaYk5xam8UJqbQdnNNcTZQze1ID8-tbggMTk1L7Uk3jvIyMDIyMDA2NzCzNDRmDhVAN7JLD8</recordid><startdate>20220325</startdate><enddate>20220325</enddate><creator>LIM SEOKJAE</creator><creator>YOUNGSAM KIM</creator><creator>CHO KWANTAE</creator><creator>KIM WONJUN</creator><creator>SANGRAE CHO</creator><creator>JONG HYUK NOH</creator><scope>EVB</scope></search><sort><creationdate>20220325</creationdate><title>APPARATUS AND METHOD FOR DETECTING FORGERY OR ALTERATION OF THE FACE</title><author>LIM SEOKJAE ; YOUNGSAM KIM ; CHO KWANTAE ; KIM WONJUN ; SANGRAE CHO ; JONG HYUK NOH</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_KR20220037861A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>eng ; kor</language><creationdate>2022</creationdate><topic>CALCULATING</topic><topic>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>HANDLING RECORD CARRIERS</topic><topic>PHYSICS</topic><topic>PRESENTATION OF DATA</topic><topic>RECOGNITION OF DATA</topic><topic>RECORD CARRIERS</topic><toplevel>online_resources</toplevel><creatorcontrib>LIM SEOKJAE</creatorcontrib><creatorcontrib>YOUNGSAM KIM</creatorcontrib><creatorcontrib>CHO KWANTAE</creatorcontrib><creatorcontrib>KIM WONJUN</creatorcontrib><creatorcontrib>SANGRAE CHO</creatorcontrib><creatorcontrib>JONG HYUK NOH</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>LIM SEOKJAE</au><au>YOUNGSAM KIM</au><au>CHO KWANTAE</au><au>KIM WONJUN</au><au>SANGRAE CHO</au><au>JONG HYUK NOH</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>APPARATUS AND METHOD FOR DETECTING FORGERY OR ALTERATION OF THE FACE</title><date>2022-03-25</date><risdate>2022</risdate><abstract>Disclosed are an apparatus and method for detecting the forgery or alteration of a face. A method for detecting the forgery or alteration of a face according to an embodiment of the present application may include the steps of: generating a first neural network for extracting the latent feature of an actual face by performing learning based on learning data including a plurality of face images; generating a second neural network for extracting correlation with the actual face by performing learning based on the latent feature extracted by the first neural network; and receiving an analysis target image, and detecting whether a face region in the analysis target image is forged or altered based on the first neural network and the second neural network.
얼굴 위변조 검출 장치 및 방법이 개시되며, 본원의 일 실시예에 따른 얼굴 위변조 검출 방법은, 복수의 얼굴 영상을 포함하는 학습 데이터를 기초로 학습을 수행하여 실제 얼굴에 대한 잠재 특징을 추출하는 제1신경망을 생성하는 단계, 상기 제1신경망에 의해 추출된 잠재 특징을 기초로 학습을 수행하여 실제 얼굴과의 상관도를 추출하는 제2신경망을 생성하는 단계 및 분석 대상 영상을 수신하고, 상기 제1신경망 및 상기 제2신경망에 기초하여 상기 분석 대상 영상 내의 얼굴 영역에 대한 위변조 여부를 검출하는 단계를 포함할 수 있다.</abstract><oa>free_for_read</oa></addata></record> |
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| subjects | CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING HANDLING RECORD CARRIERS PHYSICS PRESENTATION OF DATA RECOGNITION OF DATA RECORD CARRIERS |
| title | APPARATUS AND METHOD FOR DETECTING FORGERY OR ALTERATION OF THE FACE |
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