WO2023121563A3 - Method and system for precision face lookup and identification using multilayer ensembles - Google Patents

Method and system for precision face lookup and identification using multilayer ensembles Download PDF

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Publication number
WO2023121563A3
WO2023121563A3 PCT/SG2022/050911 SG2022050911W WO2023121563A3 WO 2023121563 A3 WO2023121563 A3 WO 2023121563A3 SG 2022050911 W SG2022050911 W SG 2022050911W WO 2023121563 A3 WO2023121563 A3 WO 2023121563A3
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WIPO (PCT)
Prior art keywords
face
target
images
models
matching
Prior art date
Application number
PCT/SG2022/050911
Other languages
French (fr)
Other versions
WO2023121563A2 (en
WO2023121563A9 (en
Inventor
Kyle MEASNER
Munirul ABEDIN
Haitao BAO
Kevin Jefferson COLEMAN
Joshua CHAN
Varun KANSAL
Wuingiap FOO
Original Assignee
Grabtaxi Holdings Pte. Ltd.
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Publication date
Application filed by Grabtaxi Holdings Pte. Ltd. filed Critical Grabtaxi Holdings Pte. Ltd.
Publication of WO2023121563A2 publication Critical patent/WO2023121563A2/en
Publication of WO2023121563A3 publication Critical patent/WO2023121563A3/en
Publication of WO2023121563A9 publication Critical patent/WO2023121563A9/en

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Classifications

    • 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
    • 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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  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • General Health & Medical Sciences (AREA)
  • Health & Medical Sciences (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Multimedia (AREA)
  • Artificial Intelligence (AREA)
  • Human Computer Interaction (AREA)
  • Oral & Maxillofacial Surgery (AREA)
  • Computing Systems (AREA)
  • Databases & Information Systems (AREA)
  • Evolutionary Computation (AREA)
  • Medical Informatics (AREA)
  • Software Systems (AREA)
  • Collating Specific Patterns (AREA)
  • Processing Or Creating Images (AREA)
  • Image Processing (AREA)
  • Image Analysis (AREA)

Abstract

The present disclosure provides methods and systems for precision face lookup and identification using multilayer ensembles. In some examples, there is provided a method for identifying a target face depicted in a target face image from a plurality of face images, each of the plurality of face images depicting a face, comprising: identifying a plurality of matching face images from the plurality of face images based on the target face using a plurality of models running independently of and in parallel with one another, each of the plurality of models being configured to compare the target face with each face depicted in the plurality of face images, each of the plurality of matching face images being identified by the plurality of models as depicting a face that matches with the target face; and determining, by an ensemble model, which of the plurality of matching face images from the plurality of models depict a face that is an exact match with the target face, the ensemble model being configured to compare each of the plurality of matching face im-ages with one another for the determination.
PCT/SG2022/050911 2021-12-24 2022-12-15 Method and system for precision face lookup and identification using multilayer ensembles WO2023121563A2 (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
SG10202114372X 2021-12-24
SG10202114372X 2021-12-24

Publications (3)

Publication Number Publication Date
WO2023121563A2 WO2023121563A2 (en) 2023-06-29
WO2023121563A3 true WO2023121563A3 (en) 2023-08-03
WO2023121563A9 WO2023121563A9 (en) 2023-08-31

Family

ID=86903848

Family Applications (1)

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PCT/SG2022/050911 WO2023121563A2 (en) 2021-12-24 2022-12-15 Method and system for precision face lookup and identification using multilayer ensembles

Country Status (1)

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WO (1) WO2023121563A2 (en)

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101201894A (en) * 2007-11-06 2008-06-18 重庆大学 Method for recognizing human face from commercial human face database based on gridding computing technology
CN107563280A (en) * 2017-07-24 2018-01-09 南京道熵信息技术有限公司 Face identification method and device based on multi-model
CN109255340A (en) * 2018-10-29 2019-01-22 东北大学 It is a kind of to merge a variety of face identification methods for improving VGG network
CN110008815A (en) * 2019-01-25 2019-07-12 平安科技（深圳）有限公司 The generation method and device of recognition of face Fusion Model
CN112101172A (en) * 2020-09-08 2020-12-18 平安科技（深圳）有限公司 Weight grafting-based model fusion face recognition method and related equipment

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101201894A (en) * 2007-11-06 2008-06-18 重庆大学 Method for recognizing human face from commercial human face database based on gridding computing technology
CN107563280A (en) * 2017-07-24 2018-01-09 南京道熵信息技术有限公司 Face identification method and device based on multi-model
CN109255340A (en) * 2018-10-29 2019-01-22 东北大学 It is a kind of to merge a variety of face identification methods for improving VGG network
CN110008815A (en) * 2019-01-25 2019-07-12 平安科技（深圳）有限公司 The generation method and device of recognition of face Fusion Model
CN112101172A (en) * 2020-09-08 2020-12-18 平安科技（深圳）有限公司 Weight grafting-based model fusion face recognition method and related equipment

Also Published As

Publication number Publication date
WO2023121563A2 (en) 2023-06-29
WO2023121563A9 (en) 2023-08-31

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