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WO2016082252A1 - Procédé de contrôle de sûreté d'aéroport via une reconnaissance faciale tridimensionnelle basée sur un serveur d'informatique en nuage - Google Patents

Procédé de contrôle de sûreté d'aéroport via une reconnaissance faciale tridimensionnelle basée sur un serveur d'informatique en nuage Download PDF

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Publication number
WO2016082252A1
WO2016082252A1 PCT/CN2014/093552 CN2014093552W WO2016082252A1 WO 2016082252 A1 WO2016082252 A1 WO 2016082252A1 CN 2014093552 W CN2014093552 W CN 2014093552W WO 2016082252 A1 WO2016082252 A1 WO 2016082252A1
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WO
WIPO (PCT)
Prior art keywords
cloud server
dimensional face
dimensional
face
image
Prior art date
Legal status (The legal status 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 status listed.)
Ceased
Application number
PCT/CN2014/093552
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English (en)
Chinese (zh)
Inventor
张会林
孙利华
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Suzhou Fufeng Technology Co Ltd
Original Assignee
Suzhou Fufeng Technology Co Ltd
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Filing date
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Publication of WO2016082252A1 publication Critical patent/WO2016082252A1/fr
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

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Classifications

    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/16—Human faces, e.g. facial parts, sketches or expressions
    • G06V40/172—Classification, e.g. identification
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/16—Human faces, e.g. facial parts, sketches or expressions
    • G06V40/168—Feature extraction; Face representation
    • G06V40/169—Holistic features and representations, i.e. based on the facial image taken as a whole
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/60—Type of objects
    • G06V20/64—Three-dimensional objects
    • G06V20/653—Three-dimensional objects by matching three-dimensional models, e.g. conformal mapping of Riemann surfaces

Definitions

  • the invention belongs to the field of airport intelligent security inspection, and particularly relates to a three-dimensional face recognition airport security inspection method based on a cloud server.
  • the airport security check only confirms the passenger information through the ID card information, and cannot accurately determine whether the passenger and the ID card are the same person, and the security performance is low.
  • the three-dimensional face recognition is generally based on a neural network or a mathematical prior test. Probability for image extraction, computational complexity, long computing time, can not be promoted in the field of smart payment.
  • the present invention provides a three-dimensional face recognition airport security detection method based on a cloud server, which has high computational configuration efficiency and can quickly retrieve data information on a cloud server, and calculation and registration are performed on the cloud server side. , high efficiency, correspondingly fast, can promote the application.
  • the technical solution adopted by the present invention is: a cloud server-based three-dimensional face recognition airport security inspection method, comprising the following steps,
  • the cloud server establishes a face recognition standard library
  • the image capturing terminal of the airport establishes a network connection with the cloud server, and the three-dimensional face scanner acquires a three-dimensional image of the face;
  • the cloud server receives the three-dimensional face image and the identity authentication request sent by the image collection terminal.
  • Step S03 After receiving the three-dimensional face image sent by the image collection terminal, the cloud server converts the three-dimensional face image into a series of data and transmits the data to the computing unit of the cloud server, where the computing unit performs three-dimensional face image preprocessing and three-dimensional face processing. Extract and 3D face registration.
  • Step S04 three-dimensional face image preprocessing specifically includes the following steps:
  • Step S05 specifically includes the following steps:
  • Grid cropping The face-based pre-registration method converts the face to the frontal state, and then uses a rectangle to crop the face on the XOY plane.
  • Step S06 specifically includes the following steps:
  • the Shape Index is calculated by fitting the quadratic surface to the neighborhood of the point to obtain the robust feature
  • Step S07 specifically includes the following steps: the cloud server searches for the face standard sample in the face recognition standard library, and registers the flag points after the step S06 to achieve rough registration based on the marker points; when the three-dimensional face image flag region When lost, the marker point cannot be stably extracted, and the three-dimensional face registration is performed by the coarse registration method based on the spindle analysis.
  • the cloud server returns the result of the identity verification to the airport identity terminal.
  • the beneficial effects of the present invention include:
  • the invention provides a three-dimensional face recognition airport security detection method based on a cloud server, which has high computational configuration efficiency and can quickly retrieve data information on the cloud server, and the calculation and registration are performed on the cloud server end, and the efficiency is high and correspondingly fast. Can promote the application.
  • Cloud server-based 3D face recognition airport security inspection method including the following steps,
  • the cloud server establishes a face recognition standard library
  • the image capturing terminal of the airport establishes a network connection with the cloud server, and the three-dimensional face scanner acquires a three-dimensional image of the face;
  • the cloud server receives the three-dimensional face image and the identity authentication request sent by the image collection terminal.
  • Step S03 After receiving the three-dimensional face image sent by the image collection terminal, the cloud server converts the three-dimensional face image into a series of data and transmits the data to the computing unit of the cloud server, where the computing unit performs three-dimensional face image preprocessing and three-dimensional face processing. Extract and 3D face registration.
  • Step S04 three-dimensional face image preprocessing specifically includes the following steps:
  • Step S05 specifically includes the following steps:
  • Grid cropping The face-based pre-registration method converts the face to the frontal state, and then uses a rectangle to crop the face on the XOY plane.
  • Step S06 specifically includes the following steps:
  • the Shape Index is calculated by fitting the quadratic surface to the neighborhood of the point to obtain the robust feature
  • Step S07 specifically includes the following steps: the cloud server searches for the face standard sample in the face recognition standard library, and registers the flag points after the step S06 to achieve rough registration based on the marker points; when the three-dimensional face image flag region When lost, the marker point cannot be stably extracted, and the three-dimensional face registration is performed by the coarse registration method based on the spindle analysis.
  • the cloud server returns the result of the identity verification to the airport identity terminal.

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  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Oral & Maxillofacial Surgery (AREA)
  • Health & Medical Sciences (AREA)
  • General Physics & Mathematics (AREA)
  • Multimedia (AREA)
  • Theoretical Computer Science (AREA)
  • General Health & Medical Sciences (AREA)
  • Human Computer Interaction (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Software Systems (AREA)
  • Image Analysis (AREA)
  • Image Processing (AREA)

Abstract

L'invention concerne un procédé de contrôle de sûreté d'aéroport via une reconnaissance faciale tridimensionnelle basée sur un serveur d'informatique en nuage. Le procédé comprend les étapes suivantes : S01, un serveur en nuage crée une bibliothèque standard de reconnaissance faciale ; S02, un terminal d'acquisition d'image d'aéroport établit une connexion réseau avec le serveur en nuage ; S03, le serveur en nuage reçoit une image faciale tridimensionnelle et une demande d'authentification d'identité envoyée par le terminal d'acquisition d'image ; S04, prétraiter l'image faciale tridimensionnelle ; S05, extraire le visage tridimensionnel et séparer la tête et les épaules d'une surface incurvée tridimensionnelle originale ; S06, positionner des points de caractéristiques faciales ; S07, enregistrer le visage tridimensionnel ; et S08, le serveur en nuage retourne le résultat d'authentification d'identité à un terminal de reconnaissance d'identité d'aéroport. Selon l'invention, la configuration informatique est très efficace, des informations de données peuvent être rapidement retrouvées dans le serveur en nuage, et le calcul et l'enregistrement sont exécutés dans le serveur en nuage. Le procédé est donc extrêmement efficace, il répond rapidement et peut être vulgarisé.
PCT/CN2014/093552 2014-11-27 2014-12-11 Procédé de contrôle de sûreté d'aéroport via une reconnaissance faciale tridimensionnelle basée sur un serveur d'informatique en nuage Ceased WO2016082252A1 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
CN201410694811.6 2014-11-27
CN201410694811.6A CN104392220A (zh) 2014-11-27 2014-11-27 基于云服务器的三维人脸识别机场安检方法

Publications (1)

Publication Number Publication Date
WO2016082252A1 true WO2016082252A1 (fr) 2016-06-02

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PCT/CN2014/093552 Ceased WO2016082252A1 (fr) 2014-11-27 2014-12-11 Procédé de contrôle de sûreté d'aéroport via une reconnaissance faciale tridimensionnelle basée sur un serveur d'informatique en nuage

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CN (1) CN104392220A (fr)
WO (1) WO2016082252A1 (fr)

Cited By (11)

* Cited by examiner, † Cited by third party
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CN106056104A (zh) * 2016-07-07 2016-10-26 王飞 一种人体三维数据采集及身份识别的安检门及方法
WO2018037098A1 (fr) 2016-08-24 2018-03-01 Danmarks Tekniske Universitet Méthode d'amélioration de l'activité de la méthyltransférase
CN109977764A (zh) * 2019-02-12 2019-07-05 平安科技（深圳）有限公司 基于平面检测的活体识别方法、装置、终端及存储介质
CN110163027A (zh) * 2018-01-15 2019-08-23 郑州大学西亚斯国际学院 一种电子眼的热成像数据分析人脸识别系统
CN111046837A (zh) * 2019-12-24 2020-04-21 深圳市奥富科数码科技有限公司 一种基于5g架构的人脸识别设备
CN111079684A (zh) * 2019-12-24 2020-04-28 河南中原大数据研究院有限公司 一种基于粗糙-精细拟合的三维人脸检测方法
CN111145166A (zh) * 2019-12-31 2020-05-12 北京深测科技有限公司 安全监控的方法及系统
CN111245812A (zh) * 2020-01-07 2020-06-05 南京航空航天大学 一体化的机场安检验证系统及其数据验证加密传输方法
CN111553970A (zh) * 2020-05-19 2020-08-18 北京数字绿土科技有限公司 一种基于服务端的点云实时测量方法
CN111788602A (zh) * 2017-12-29 2020-10-16 菲力尔系统公司 点云去噪系统和方法
CN119741304A (zh) * 2025-03-06 2025-04-01 华侨大学 基于三维人脸几何结构的无参考质量评估方法及装置

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CN104732216A (zh) * 2015-03-26 2015-06-24 江苏物联网研究发展中心 基于关键点和局部特征的表情识别方法
CN106054278B (zh) * 2016-07-07 2018-06-12 王飞 一种头部三维数据采集及身份识别的安检门及方法
CN106845368A (zh) * 2016-12-30 2017-06-13 中国民航信息网络股份有限公司 基于人脸识别的机场登机安检再确认系统和方法
CN108960102A (zh) * 2018-06-22 2018-12-07 天和防务技术（北京）有限公司 太赫兹危险品的自动检测舱及检测方法
CN109655928A (zh) * 2019-01-30 2019-04-19 成都智元汇信息技术股份有限公司 一种基于云处理的安检门金属物品分析系统及方法
CN111985278A (zh) * 2019-05-24 2020-11-24 中建材信息技术股份有限公司 一种云计算场景下基于深度学习的人脸识别方法
CN112016466B (zh) * 2020-08-28 2024-05-28 中移（杭州）信息技术有限公司 人脸识别方法、系统、电子设备和计算机存储介质
CN113160575A (zh) * 2021-03-15 2021-07-23 超级视线科技有限公司 一种非机动车辆及驾驶人的交通违法行为检测方法及系统
CN115563396B (zh) * 2022-12-06 2023-04-28 成都智元汇信息技术股份有限公司 可降级的中心化智能推送方法及装置

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CN101398886B (zh) * 2008-03-17 2010-11-10 杭州大清智能技术开发有限公司 一种基于双目被动立体视觉的快速三维人脸识别方法
CN103107886A (zh) * 2013-01-17 2013-05-15 深圳市元征科技股份有限公司 一种身份识别系统及方法

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CN201904809U (zh) * 2010-12-20 2011-07-20 惠州紫旭科技有限公司 基于云计算的数据服务系统
CN102779269A (zh) * 2012-06-13 2012-11-14 合肥工业大学 基于图像传感器成像系统的人脸识别算法

Cited By (16)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106056104A (zh) * 2016-07-07 2016-10-26 王飞 一种人体三维数据采集及身份识别的安检门及方法
WO2018037098A1 (fr) 2016-08-24 2018-03-01 Danmarks Tekniske Universitet Méthode d'amélioration de l'activité de la méthyltransférase
CN111788602A (zh) * 2017-12-29 2020-10-16 菲力尔系统公司 点云去噪系统和方法
CN111788602B (zh) * 2017-12-29 2024-05-28 泰立戴恩菲力尔有限责任公司 点云去噪系统和方法
CN110163027A (zh) * 2018-01-15 2019-08-23 郑州大学西亚斯国际学院 一种电子眼的热成像数据分析人脸识别系统
CN109977764A (zh) * 2019-02-12 2019-07-05 平安科技（深圳）有限公司 基于平面检测的活体识别方法、装置、终端及存储介质
WO2020164284A1 (fr) * 2019-02-12 2020-08-20 平安科技（深圳）有限公司 Procédé et appareil pour reconnaître un corps vivant sur la base d'une détection de surface, terminal et support de stockage
CN111046837A (zh) * 2019-12-24 2020-04-21 深圳市奥富科数码科技有限公司 一种基于5g架构的人脸识别设备
CN111079684A (zh) * 2019-12-24 2020-04-28 河南中原大数据研究院有限公司 一种基于粗糙-精细拟合的三维人脸检测方法
CN111079684B (zh) * 2019-12-24 2023-04-07 陕西西图数联科技有限公司 一种基于粗糙-精细拟合的三维人脸检测方法
CN111145166B (zh) * 2019-12-31 2023-09-01 北京深测科技有限公司 安全监控的方法及系统
CN111145166A (zh) * 2019-12-31 2020-05-12 北京深测科技有限公司 安全监控的方法及系统
CN111245812A (zh) * 2020-01-07 2020-06-05 南京航空航天大学 一体化的机场安检验证系统及其数据验证加密传输方法
CN111553970A (zh) * 2020-05-19 2020-08-18 北京数字绿土科技有限公司 一种基于服务端的点云实时测量方法
CN111553970B (zh) * 2020-05-19 2024-02-20 北京数字绿土科技股份有限公司 一种基于服务端的点云实时测量方法
CN119741304A (zh) * 2025-03-06 2025-04-01 华侨大学 基于三维人脸几何结构的无参考质量评估方法及装置

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