CN116057587A - 活体检测方法、活体检测模型的训练方法及其装置和*** - Google Patents
活体检测方法、活体检测模型的训练方法及其装置和*** Download PDFInfo
- Publication number
- CN116057587A CN116057587A CN202180040878.6A CN202180040878A CN116057587A CN 116057587 A CN116057587 A CN 116057587A CN 202180040878 A CN202180040878 A CN 202180040878A CN 116057587 A CN116057587 A CN 116057587A
- Authority
- CN
- China
- Prior art keywords
- neural network
- living body
- training
- body detection
- data
- 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.)
- Pending
Links
- 238000012549 training Methods 0.000 title claims abstract description 326
- 238000001514 detection method Methods 0.000 title claims abstract description 251
- 238000000034 method Methods 0.000 title claims abstract description 130
- 238000013528 artificial neural network Methods 0.000 claims abstract description 155
- 239000013598 vector Substances 0.000 claims abstract description 59
- 238000013527 convolutional neural network Methods 0.000 claims description 191
- 230000015654 memory Effects 0.000 claims description 66
- 238000012545 processing Methods 0.000 claims description 45
- 238000003860 storage Methods 0.000 claims description 37
- 238000012790 confirmation Methods 0.000 claims description 4
- 238000004590 computer program Methods 0.000 claims description 3
- 238000013473 artificial intelligence Methods 0.000 abstract description 12
- 238000000605 extraction Methods 0.000 abstract description 10
- 230000008569 process Effects 0.000 description 41
- 230000006870 function Effects 0.000 description 34
- 238000011176 pooling Methods 0.000 description 31
- 239000011159 matrix material Substances 0.000 description 28
- 238000004891 communication Methods 0.000 description 26
- 238000010586 diagram Methods 0.000 description 25
- 230000000694 effects Effects 0.000 description 21
- 210000000887 face Anatomy 0.000 description 19
- 238000003062 neural network model Methods 0.000 description 13
- 230000008901 benefit Effects 0.000 description 11
- 230000001537 neural effect Effects 0.000 description 11
- 210000002569 neuron Anatomy 0.000 description 11
- 238000005286 illumination Methods 0.000 description 9
- 238000004364 calculation method Methods 0.000 description 8
- 238000007781 pre-processing Methods 0.000 description 8
- 230000004913 activation Effects 0.000 description 7
- 238000001727 in vivo Methods 0.000 description 7
- 238000001574 biopsy Methods 0.000 description 6
- 238000004422 calculation algorithm Methods 0.000 description 6
- 238000005516 engineering process Methods 0.000 description 5
- 239000011521 glass Substances 0.000 description 5
- 210000003128 head Anatomy 0.000 description 5
- 238000013500 data storage Methods 0.000 description 4
- 238000013135 deep learning Methods 0.000 description 4
- 230000002349 favourable effect Effects 0.000 description 4
- 230000008014 freezing Effects 0.000 description 4
- 238000007710 freezing Methods 0.000 description 4
- 238000010606 normalization Methods 0.000 description 4
- 239000000872 buffer Substances 0.000 description 3
- 230000008878 coupling Effects 0.000 description 3
- 238000010168 coupling process Methods 0.000 description 3
- 238000005859 coupling reaction Methods 0.000 description 3
- 238000005034 decoration Methods 0.000 description 3
- 230000003993 interaction Effects 0.000 description 3
- 238000010801 machine learning Methods 0.000 description 3
- 238000007789 sealing Methods 0.000 description 3
- MHABMANUFPZXEB-UHFFFAOYSA-N O-demethyl-aloesaponarin I Natural products O=C1C2=CC=CC(O)=C2C(=O)C2=C1C=C(O)C(C(O)=O)=C2C MHABMANUFPZXEB-UHFFFAOYSA-N 0.000 description 2
- 230000009471 action Effects 0.000 description 2
- 238000004458 analytical method Methods 0.000 description 2
- 230000003190 augmentative effect Effects 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 2
- 238000013480 data collection Methods 0.000 description 2
- 238000009826 distribution Methods 0.000 description 2
- 238000004519 manufacturing process Methods 0.000 description 2
- 238000011112 process operation Methods 0.000 description 2
- 230000004044 response Effects 0.000 description 2
- 238000005070 sampling Methods 0.000 description 2
- 230000003068 static effect Effects 0.000 description 2
- 238000006467 substitution reaction Methods 0.000 description 2
- 230000001360 synchronised effect Effects 0.000 description 2
- 230000001133 acceleration Effects 0.000 description 1
- 238000013475 authorization Methods 0.000 description 1
- 230000015572 biosynthetic process Effects 0.000 description 1
- 210000004027 cell Anatomy 0.000 description 1
- 238000011217 control strategy Methods 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000006073 displacement reaction Methods 0.000 description 1
- 238000005538 encapsulation Methods 0.000 description 1
- 238000003384 imaging method Methods 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 238000005304 joining Methods 0.000 description 1
- 239000007788 liquid Substances 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 230000037361 pathway Effects 0.000 description 1
- 238000007639 printing Methods 0.000 description 1
- 238000011084 recovery Methods 0.000 description 1
- 238000012163 sequencing technique Methods 0.000 description 1
- 238000012360 testing method Methods 0.000 description 1
- 238000012546 transfer Methods 0.000 description 1
- 230000001131 transforming effect Effects 0.000 description 1
- 238000013519 translation Methods 0.000 description 1
- 230000000007 visual effect Effects 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Data Mining & Analysis (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Bioinformatics & Computational Biology (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Life Sciences & Earth Sciences (AREA)
- Evolutionary Biology (AREA)
- Evolutionary Computation (AREA)
- Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Artificial Intelligence (AREA)
- Image Analysis (AREA)
Abstract
本申请提供一种活体检测方法、活体检测模型的训练方法及其装置,涉及人工智能领域。该活体检测方法包括:获取人脸图像,以及将该人脸图像输入到目标活体检测模型,得到活体检测结果,活体检测结果用于指示人脸图像中的人是否为活体,目标活体检测模型包括第一卷积神经网络,第一卷积神经网络包括第二卷积神经网络和全连接层,第二卷积神经网络用于根据人脸图像得到人脸的类别特征向量,全连接层用于根据类别特征向量进行活体判别,得到活体检测结果。该方案中,目标活体检测模型兼具有较高的提取人脸特征的能力和活体判别能力,从而能够有效提高活体检测结果的准确性。
Description
PCT国内申请,说明书已公开。
Claims (46)
- PCT国内申请,权利要求书已公开。
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
PCT/CN2021/095597 WO2022246612A1 (zh) | 2021-05-24 | 2021-05-24 | 活体检测方法、活体检测模型的训练方法及其装置和*** |
Publications (1)
Publication Number | Publication Date |
---|---|
CN116057587A true CN116057587A (zh) | 2023-05-02 |
Family
ID=84229396
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202180040878.6A Pending CN116057587A (zh) | 2021-05-24 | 2021-05-24 | 活体检测方法、活体检测模型的训练方法及其装置和*** |
Country Status (2)
Country | Link |
---|---|
CN (1) | CN116057587A (zh) |
WO (1) | WO2022246612A1 (zh) |
Families Citing this family (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN116562338A (zh) * | 2022-01-27 | 2023-08-08 | 美的集团(上海)有限公司 | 多分支卷积结构、神经网络模型及其确定方法、确定装置 |
CN115424335B (zh) * | 2022-11-03 | 2023-08-04 | 智慧眼科技股份有限公司 | 活体识别模型训练方法、活体识别方法及相关设备 |
Family Cites Families (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP6773493B2 (ja) * | 2016-09-14 | 2020-10-21 | 株式会社東芝 | 検出装置、検出方法、および検出プログラム |
CN108416324B (zh) * | 2018-03-27 | 2022-02-25 | 百度在线网络技术(北京)有限公司 | 用于检测活体的方法和装置 |
CN108983979B (zh) * | 2018-07-25 | 2021-11-30 | 北京因时机器人科技有限公司 | 一种手势跟踪识别方法、装置和智能设备 |
CN109886087B (zh) * | 2019-01-04 | 2023-10-20 | 平安科技(深圳)有限公司 | 一种基于神经网络的活体检测方法及终端设备 |
-
2021
- 2021-05-24 WO PCT/CN2021/095597 patent/WO2022246612A1/zh active Application Filing
- 2021-05-24 CN CN202180040878.6A patent/CN116057587A/zh active Pending
Also Published As
Publication number | Publication date |
---|---|
WO2022246612A1 (zh) | 2022-12-01 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN112446270B (zh) | 行人再识别网络的训练方法、行人再识别方法和装置 | |
CN110378381B (zh) | 物体检测方法、装置和计算机存储介质 | |
CN110532871B (zh) | 图像处理的方法和装置 | |
WO2021043112A1 (zh) | 图像分类方法以及装置 | |
CN111274916B (zh) | 人脸识别方法和人脸识别装置 | |
CN111819568B (zh) | 人脸旋转图像的生成方法及装置 | |
CN113284054B (zh) | 图像增强方法以及图像增强装置 | |
CN110222717B (zh) | 图像处理方法和装置 | |
CN111291809B (zh) | 一种处理装置、方法及存储介质 | |
CN110222718B (zh) | 图像处理的方法及装置 | |
CN113065645B (zh) | 孪生注意力网络、图像处理方法和装置 | |
CN112668366B (zh) | 图像识别方法、装置、计算机可读存储介质及芯片 | |
CN112581379A (zh) | 图像增强方法以及装置 | |
CN112307826A (zh) | 行人检测方法、装置、计算机可读存储介质和芯片 | |
CN113191489B (zh) | 二值神经网络模型的训练方法、图像处理方法和装置 | |
CN116057587A (zh) | 活体检测方法、活体检测模型的训练方法及其装置和*** | |
CN112446835A (zh) | 图像恢复方法、图像恢复网络训练方法、装置和存储介质 | |
CN113807183A (zh) | 模型训练方法及相关设备 | |
CN112287954A (zh) | 图像分类方法、图像分类模型的训练方法及其装置 | |
CN114596622A (zh) | 基于对比知识驱动的虹膜与眼周对抗自适应融合识别方法 | |
CN114037838A (zh) | 神经网络的训练方法、电子设备及计算机程序产品 | |
CN114764856A (zh) | 图像语义分割方法和图像语义分割装置 | |
CN114882537B (zh) | 一种基于神经辐射场的手指新视角图像生成方法 | |
Liu et al. | CAFFNet: channel attention and feature fusion network for multi-target traffic sign detection | |
CN113449548A (zh) | 更新物体识别模型的方法和装置 |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination |