Living body detection method and device, electronic equipment and computer readable storage medium

The invention relates to the technical field of artificial intelligence, and provides a living body detection method and device, electronic equipment and a computer readable storage medium, and the method comprises the steps: obtaining a to-be-detected image of a target face; inputting the to-be-det...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: ZHANG YIFU, ZHOU YANGRUI, LIU CHUANG, HU JUNYI, PANG TIANJI
Format: Patent
Sprache:chi ; eng
Schlagworte:
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page
container_issue
container_start_page
container_title
container_volume
creator ZHANG YIFU
ZHOU YANGRUI
LIU CHUANG
HU JUNYI
PANG TIANJI
description The invention relates to the technical field of artificial intelligence, and provides a living body detection method and device, electronic equipment and a computer readable storage medium, and the method comprises the steps: obtaining a to-be-detected image of a target face; inputting the to-be-detected image into a pre-trained living body detection model to obtain a classification result of the to-be-detected image; the living body detection model is obtained by removing a hand feature extraction network in a trained original detection model, and the original detection model further comprises a face feature extraction network and a frame feature extraction network; the original detection model is obtained after training according to face features extracted by the face feature extraction network, frame features extracted by the frame feature extraction network and hand features extracted by the hand feature extraction network; and determining whether the target face is a living body or not according to a cla
format Patent
fullrecord <record><control><sourceid>epo_EVB</sourceid><recordid>TN_cdi_epo_espacenet_CN116597527A</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>CN116597527A</sourcerecordid><originalsourceid>FETCH-epo_espacenet_CN116597527A3</originalsourceid><addsrcrecordid>eNqNjDEKwkAQRdNYiHqHsdciigZLCYqFWNmHze43DmR31s0k4O0N4gGsPrz3-NOsvvLAoaFa3JscFFZZAnnoUxyZ4EY4sMWK0I4uSWBLePUcPYJ-Ays-9opECcaZugV1Ksk0GF8c936eTR6m7bD47Sxbnk_38rJGlApdNBYBWpW3PN_vDsVuUxy3_zQfXc8-TQ</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>patent</recordtype></control><display><type>patent</type><title>Living body detection method and device, electronic equipment and computer readable storage medium</title><source>esp@cenet</source><creator>ZHANG YIFU ; ZHOU YANGRUI ; LIU CHUANG ; HU JUNYI ; PANG TIANJI</creator><creatorcontrib>ZHANG YIFU ; ZHOU YANGRUI ; LIU CHUANG ; HU JUNYI ; PANG TIANJI</creatorcontrib><description>The invention relates to the technical field of artificial intelligence, and provides a living body detection method and device, electronic equipment and a computer readable storage medium, and the method comprises the steps: obtaining a to-be-detected image of a target face; inputting the to-be-detected image into a pre-trained living body detection model to obtain a classification result of the to-be-detected image; the living body detection model is obtained by removing a hand feature extraction network in a trained original detection model, and the original detection model further comprises a face feature extraction network and a frame feature extraction network; the original detection model is obtained after training according to face features extracted by the face feature extraction network, frame features extracted by the frame feature extraction network and hand features extracted by the hand feature extraction network; and determining whether the target face is a living body or not according to a cla</description><language>chi ; eng</language><subject>CALCULATING ; COMPUTING ; COUNTING ; PHYSICS</subject><creationdate>2023</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=20230815&amp;DB=EPODOC&amp;CC=CN&amp;NR=116597527A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,776,881,25542,76290</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&amp;date=20230815&amp;DB=EPODOC&amp;CC=CN&amp;NR=116597527A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>ZHANG YIFU</creatorcontrib><creatorcontrib>ZHOU YANGRUI</creatorcontrib><creatorcontrib>LIU CHUANG</creatorcontrib><creatorcontrib>HU JUNYI</creatorcontrib><creatorcontrib>PANG TIANJI</creatorcontrib><title>Living body detection method and device, electronic equipment and computer readable storage medium</title><description>The invention relates to the technical field of artificial intelligence, and provides a living body detection method and device, electronic equipment and a computer readable storage medium, and the method comprises the steps: obtaining a to-be-detected image of a target face; inputting the to-be-detected image into a pre-trained living body detection model to obtain a classification result of the to-be-detected image; the living body detection model is obtained by removing a hand feature extraction network in a trained original detection model, and the original detection model further comprises a face feature extraction network and a frame feature extraction network; the original detection model is obtained after training according to face features extracted by the face feature extraction network, frame features extracted by the frame feature extraction network and hand features extracted by the hand feature extraction network; and determining whether the target face is a living body or not according to a cla</description><subject>CALCULATING</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>PHYSICS</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2023</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNqNjDEKwkAQRdNYiHqHsdciigZLCYqFWNmHze43DmR31s0k4O0N4gGsPrz3-NOsvvLAoaFa3JscFFZZAnnoUxyZ4EY4sMWK0I4uSWBLePUcPYJ-Ays-9opECcaZugV1Ksk0GF8c936eTR6m7bD47Sxbnk_38rJGlApdNBYBWpW3PN_vDsVuUxy3_zQfXc8-TQ</recordid><startdate>20230815</startdate><enddate>20230815</enddate><creator>ZHANG YIFU</creator><creator>ZHOU YANGRUI</creator><creator>LIU CHUANG</creator><creator>HU JUNYI</creator><creator>PANG TIANJI</creator><scope>EVB</scope></search><sort><creationdate>20230815</creationdate><title>Living body detection method and device, electronic equipment and computer readable storage medium</title><author>ZHANG YIFU ; ZHOU YANGRUI ; LIU CHUANG ; HU JUNYI ; PANG TIANJI</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN116597527A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2023</creationdate><topic>CALCULATING</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>PHYSICS</topic><toplevel>online_resources</toplevel><creatorcontrib>ZHANG YIFU</creatorcontrib><creatorcontrib>ZHOU YANGRUI</creatorcontrib><creatorcontrib>LIU CHUANG</creatorcontrib><creatorcontrib>HU JUNYI</creatorcontrib><creatorcontrib>PANG TIANJI</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>ZHANG YIFU</au><au>ZHOU YANGRUI</au><au>LIU CHUANG</au><au>HU JUNYI</au><au>PANG TIANJI</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Living body detection method and device, electronic equipment and computer readable storage medium</title><date>2023-08-15</date><risdate>2023</risdate><abstract>The invention relates to the technical field of artificial intelligence, and provides a living body detection method and device, electronic equipment and a computer readable storage medium, and the method comprises the steps: obtaining a to-be-detected image of a target face; inputting the to-be-detected image into a pre-trained living body detection model to obtain a classification result of the to-be-detected image; the living body detection model is obtained by removing a hand feature extraction network in a trained original detection model, and the original detection model further comprises a face feature extraction network and a frame feature extraction network; the original detection model is obtained after training according to face features extracted by the face feature extraction network, frame features extracted by the frame feature extraction network and hand features extracted by the hand feature extraction network; and determining whether the target face is a living body or not according to a cla</abstract><oa>free_for_read</oa></addata></record>
fulltext fulltext_linktorsrc
identifier
ispartof
issn
language chi ; eng
recordid cdi_epo_espacenet_CN116597527A
source esp@cenet
subjects CALCULATING
COMPUTING
COUNTING
PHYSICS
title Living body detection method and device, electronic equipment and computer readable storage medium
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-04T04%3A35%3A00IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-epo_EVB&rft_val_fmt=info:ofi/fmt:kev:mtx:patent&rft.genre=patent&rft.au=ZHANG%20YIFU&rft.date=2023-08-15&rft_id=info:doi/&rft_dat=%3Cepo_EVB%3ECN116597527A%3C/epo_EVB%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true