MX2019005352A - Metodo, aparato y dispositivo electronico para deteccion de la vitalidad facial. - Google Patents
Metodo, aparato y dispositivo electronico para deteccion de la vitalidad facial.Info
- Publication number
- MX2019005352A MX2019005352A MX2019005352A MX2019005352A MX2019005352A MX 2019005352 A MX2019005352 A MX 2019005352A MX 2019005352 A MX2019005352 A MX 2019005352A MX 2019005352 A MX2019005352 A MX 2019005352A MX 2019005352 A MX2019005352 A MX 2019005352A
- Authority
- MX
- Mexico
- Prior art keywords
- prediction score
- liveness detection
- face liveness
- learning model
- deep learning
- Prior art date
Links
Classifications
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR 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
- G06V40/161—Detection; Localisation; Normalisation
- G06V40/164—Detection; Localisation; Normalisation using holistic features
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR 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
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/21—Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
- G06F18/214—Generating training patterns; Bootstrap methods, e.g. bagging or boosting
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/04—Architecture, e.g. interconnection topology
- G06N3/045—Combinations of networks
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/08—Learning methods
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR 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
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
- G06V10/764—Arrangements for image or video recognition or understanding using pattern recognition or machine learning using classification, e.g. of video objects
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
- G06V10/77—Processing image or video features in feature spaces; using data integration or data reduction, e.g. principal component analysis [PCA] or independent component analysis [ICA] or self-organising maps [SOM]; Blind source separation
- G06V10/80—Fusion, i.e. combining data from various sources at the sensor level, preprocessing level, feature extraction level or classification level
- G06V10/809—Fusion, i.e. combining data from various sources at the sensor level, preprocessing level, feature extraction level or classification level of classification results, e.g. where the classifiers operate on the same input data
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
- G06V10/82—Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR 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
- G06V40/171—Local features and components; Facial parts ; Occluding parts, e.g. glasses; Geometrical relationships
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR 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; CALCULATING OR 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
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR 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
- G06V40/45—Detection of the body part being alive
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Multimedia (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Human Computer Interaction (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Oral & Maxillofacial Surgery (AREA)
- Evolutionary Computation (AREA)
- Artificial Intelligence (AREA)
- Computing Systems (AREA)
- Software Systems (AREA)
- Data Mining & Analysis (AREA)
- Databases & Information Systems (AREA)
- Medical Informatics (AREA)
- General Engineering & Computer Science (AREA)
- Life Sciences & Earth Sciences (AREA)
- Biophysics (AREA)
- Biomedical Technology (AREA)
- Computational Linguistics (AREA)
- Molecular Biology (AREA)
- Mathematical Physics (AREA)
- Evolutionary Biology (AREA)
- Bioinformatics & Computational Biology (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Image Analysis (AREA)
- Image Processing (AREA)
- Collating Specific Patterns (AREA)
Abstract
Un primer modelo de aprendizaje profundo se entrena con base en imágenes faciales generales. Un segundo modelo de aprendizaje profundo se entrena con base en imágenes faciales extraídas recortadas de las imágenes faciales generales. La detección de la vitalidad facial se lleva a cabo con base en el primer modelo de aprendizaje profundo entrenado para obtener los una primera puntuación de la predicción y el segundo modelo de aprendizaje profundo entrenado para obtener una segunda puntuación de la predicción. Un resultado de la punta predicción se genera con base en la primera puntuación de la predicción y la segunda puntuación de la predicción, y el resultado de la puntuación de la predicción se compara con un umbral para determinar un resultado de la detección de la vitalidad facial para las imágenes faciales extraídas.
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201710421333.5A CN107358157B (zh) | 2017-06-07 | 2017-06-07 | 一种人脸活体检测方法、装置以及电子设备 |
PCT/US2018/036505 WO2018226990A1 (en) | 2017-06-07 | 2018-06-07 | Face liveness detection method and apparatus, and electronic device |
Publications (1)
Publication Number | Publication Date |
---|---|
MX2019005352A true MX2019005352A (es) | 2019-08-05 |
Family
ID=60272274
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
MX2019005352A MX2019005352A (es) | 2017-06-07 | 2018-06-07 | Metodo, aparato y dispositivo electronico para deteccion de la vitalidad facial. |
Country Status (18)
Country | Link |
---|---|
US (1) | US10671870B2 (es) |
EP (2) | EP3872699B1 (es) |
JP (1) | JP6732317B2 (es) |
KR (1) | KR102142232B1 (es) |
CN (2) | CN113095124B (es) |
AU (2) | AU2018280235B2 (es) |
BR (1) | BR112019009219A2 (es) |
CA (1) | CA3043230C (es) |
ES (1) | ES2878374T3 (es) |
MX (1) | MX2019005352A (es) |
MY (1) | MY196557A (es) |
PH (1) | PH12019501009A1 (es) |
PL (1) | PL3523754T3 (es) |
RU (1) | RU2714096C1 (es) |
SG (1) | SG10202005728SA (es) |
TW (1) | TWI714834B (es) |
WO (1) | WO2018226990A1 (es) |
ZA (1) | ZA201902833B (es) |
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EP3523754A1 (en) | 2019-08-14 |
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CA3043230C (en) | 2020-06-23 |
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PH12019501009A1 (en) | 2019-12-02 |
WO2018226990A1 (en) | 2018-12-13 |
PL3523754T3 (pl) | 2021-10-04 |
ES2878374T3 (es) | 2021-11-18 |
CN113095124B (zh) | 2024-02-06 |
RU2714096C1 (ru) | 2020-02-11 |
US20180357501A1 (en) | 2018-12-13 |
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AU2018280235A1 (en) | 2019-05-23 |
KR102142232B1 (ko) | 2020-08-07 |
JP6732317B2 (ja) | 2020-07-29 |
CA3043230A1 (en) | 2018-12-13 |
SG10202005728SA (en) | 2020-07-29 |
US10671870B2 (en) | 2020-06-02 |
AU2018280235B2 (en) | 2020-01-23 |
JP2020504360A (ja) | 2020-02-06 |
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