WO2019152983A3 - System and apparatus for face anti-spoofing via auxiliary supervision - Google Patents
System and apparatus for face anti-spoofing via auxiliary supervision Download PDFInfo
- Publication number
- WO2019152983A3 WO2019152983A3 PCT/US2019/016638 US2019016638W WO2019152983A3 WO 2019152983 A3 WO2019152983 A3 WO 2019152983A3 US 2019016638 W US2019016638 W US 2019016638W WO 2019152983 A3 WO2019152983 A3 WO 2019152983A3
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- network
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/40—Extraction of image or video features
- G06V10/44—Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components
- G06V10/443—Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components by matching or filtering
- G06V10/449—Biologically inspired filters, e.g. difference of Gaussians [DoG] or Gabor filters
- G06V10/451—Biologically inspired filters, e.g. difference of Gaussians [DoG] or Gabor filters with interaction between the filter responses, e.g. cortical complex cells
- G06V10/454—Integrating the filters into a hierarchical structure, e.g. convolutional neural networks [CNN]
-
- 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
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- 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
- G06V40/40—Spoof detection, e.g. liveness detection
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- Engineering & Computer Science (AREA)
- Health & Medical Sciences (AREA)
- General Physics & Mathematics (AREA)
- Multimedia (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- Human Computer Interaction (AREA)
- Oral & Maxillofacial Surgery (AREA)
- General Health & Medical Sciences (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Biodiversity & Conservation Biology (AREA)
- Biomedical Technology (AREA)
- Life Sciences & Earth Sciences (AREA)
- Molecular Biology (AREA)
- Evolutionary Computation (AREA)
- Artificial Intelligence (AREA)
- Image Analysis (AREA)
Abstract
A unified convolutional neural network (CNN) - recurrent neural network (RNN) architecture is provided, which may be trained to distinguish between a presentation attack (PA) and a live face, for a given sequence of image frames (e.g., video). The CNN portion of the network may produce an estimated depth map and an estimated feature map for each image frame in the sequence, while the RNN portion of the network may produce an estimated remote Photoplethysmography (rPPG) signal. A non-rigid registration layer may be coupled between the CNN and the RNN and may frontalize the feature maps using 3D face shape data derived from the sequence of image frames.
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| US201862626486P | 2018-02-05 | 2018-02-05 | |
| US62/626,486 | 2018-02-05 |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| WO2019152983A2 WO2019152983A2 (en) | 2019-08-08 |
| WO2019152983A3 true WO2019152983A3 (en) | 2020-04-30 |
Family
ID=67478944
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| PCT/US2019/016638 Ceased WO2019152983A2 (en) | 2018-02-05 | 2019-02-05 | System and apparatus for face anti-spoofing via auxiliary supervision |
Country Status (1)
| Country | Link |
|---|---|
| WO (1) | WO2019152983A2 (en) |
Families Citing this family (25)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| GB2579583B (en) | 2018-12-04 | 2021-01-06 | Yoti Holding Ltd | Anti-spoofing |
| US11657525B2 (en) | 2018-12-04 | 2023-05-23 | Yoti Holding Limited | Extracting information from images |
| US11294996B2 (en) | 2019-10-15 | 2022-04-05 | Assa Abloy Ab | Systems and methods for using machine learning for image-based spoof detection |
| US11348375B2 (en) | 2019-10-15 | 2022-05-31 | Assa Abloy Ab | Systems and methods for using focal stacks for image-based spoof detection |
| CN111339832B (en) * | 2020-02-03 | 2023-09-12 | 中国人民解放军国防科技大学 | Face synthetic image detection method and device |
| CN111414887B (en) * | 2020-03-30 | 2021-01-29 | 上海高重信息科技有限公司 | Face recognition method of secondary detection mask based on YOLOV3 algorithm |
| US11275959B2 (en) | 2020-07-07 | 2022-03-15 | Assa Abloy Ab | Systems and methods for enrollment in a multispectral stereo facial recognition system |
| CN111709976B (en) * | 2020-08-24 | 2020-11-06 | 湖南国科智瞳科技有限公司 | Rapid registration method and system for microscopic image and computer equipment |
| CN112187413B (en) * | 2020-08-28 | 2022-05-03 | 中国人民解放军海军航空大学航空作战勤务学院 | SFBC (Small form-factor Block code) identifying method and device based on CNN-LSTM (convolutional neural network-Link State transition technology) |
| CN112329606B (en) * | 2020-11-03 | 2023-08-15 | 济南博观智能科技有限公司 | Living body detection method, living body detection device, electronic equipment and readable storage medium |
| CN112101302B (en) * | 2020-11-05 | 2021-04-27 | 杭州追猎科技有限公司 | Illegal posting detection method, system and electronic device |
| CN112800941B (en) * | 2021-01-26 | 2023-06-06 | 中科人工智能创新技术研究院(青岛)有限公司 | Face anti-fraud method and system based on asymmetric auxiliary information embedded network |
| CN113158773B (en) * | 2021-03-05 | 2024-03-22 | 普联技术有限公司 | Training method and training device for living body detection model |
| CN113076876B (en) * | 2021-04-02 | 2023-01-31 | 华南理工大学 | A Face Spoofing Detection Method and System Based on 3D Structure Supervision and Confidence Weighting |
| US11720991B2 (en) | 2021-05-20 | 2023-08-08 | International Business Machines Corporation | Signing and authentication of digital images and other data arrays |
| CN113486875B (en) * | 2021-09-08 | 2021-12-07 | 浙江大学 | Cross-domain face representation attack detection method and system based on word separation and self-adaptation |
| CN114092994B (en) * | 2021-10-13 | 2024-09-24 | 北京工业大学 | Face living body detection method based on multi-view feature learning |
| US12142084B2 (en) * | 2021-12-23 | 2024-11-12 | Qualcomm Incorporated | Apparatus and methods for spoofing detection using machine learning processes |
| US20230206700A1 (en) * | 2021-12-29 | 2023-06-29 | Elm | Biometric facial recognition and liveness detector using ai computer vision |
| CN114550237A (en) * | 2022-01-24 | 2022-05-27 | 北京科技大学 | Face living body detection method and system |
| CN114724220A (en) * | 2022-04-12 | 2022-07-08 | 广州广电卓识智能科技有限公司 | Living body detection method, living body detection device, and readable medium |
| CN115147705B (en) * | 2022-09-06 | 2023-02-03 | 平安银行股份有限公司 | Face copying detection method and device, electronic equipment and storage medium |
| CN116453182A (en) * | 2023-03-27 | 2023-07-18 | 山东浪潮超高清智能科技有限公司 | Binary face anti-fraud auxiliary method based on rPPG signal supervision |
| FR3150334A1 (en) * | 2023-11-24 | 2024-12-27 | Valeo Vision | Facial recognition system for a driver's face of a motor vehicle |
| CN120823137B (en) * | 2025-09-19 | 2025-11-21 | 龙兴(杭州)航空电子有限公司 | A method and apparatus for aligning point clouds with dynamic depth maps of images |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US9665784B2 (en) * | 2015-06-16 | 2017-05-30 | EyeVerify Inc. | Systems and methods for spoof detection and liveness analysis |
| US9697414B2 (en) * | 2012-01-17 | 2017-07-04 | Amazon Technologies, Inc. | User authentication through image analysis |
| WO2018002275A1 (en) * | 2016-06-30 | 2018-01-04 | Koninklijke Philips N.V. | Method and apparatus for face detection/recognition systems |
-
2019
- 2019-02-05 WO PCT/US2019/016638 patent/WO2019152983A2/en not_active Ceased
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US9697414B2 (en) * | 2012-01-17 | 2017-07-04 | Amazon Technologies, Inc. | User authentication through image analysis |
| US9665784B2 (en) * | 2015-06-16 | 2017-05-30 | EyeVerify Inc. | Systems and methods for spoof detection and liveness analysis |
| WO2018002275A1 (en) * | 2016-06-30 | 2018-01-04 | Koninklijke Philips N.V. | Method and apparatus for face detection/recognition systems |
Also Published As
| Publication number | Publication date |
|---|---|
| WO2019152983A2 (en) | 2019-08-08 |
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