SG11201912428TA - Method and apparatus for positioning face feature points - Google Patents

Method and apparatus for positioning face feature points

Info

Publication number
SG11201912428TA
SG11201912428TA SG11201912428TA SG11201912428TA SG11201912428TA SG 11201912428T A SG11201912428T A SG 11201912428TA SG 11201912428T A SG11201912428T A SG 11201912428TA SG 11201912428T A SG11201912428T A SG 11201912428TA SG 11201912428T A SG11201912428T A SG 11201912428TA
Authority
SG
Singapore
Prior art keywords
feature points
face feature
positioning face
positioning
points
Prior art date
Application number
SG11201912428TA
Inventor
Chen Qian
Wenyan Wu
Original Assignee
Beijing Sensetime Technology Development Co Ltd
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Beijing Sensetime Technology Development Co Ltd filed Critical Beijing Sensetime Technology Development Co Ltd
Publication of SG11201912428TA publication Critical patent/SG11201912428TA/en

Links

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
    • G06V40/161—Detection; Localisation; Normalisation
    • 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
    • G06V40/165—Detection; Localisation; Normalisation using facial parts and geometric relationships
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/25—Fusion techniques
    • G06F18/251—Fusion techniques of input or preprocessed data
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00—Image enhancement or restoration
    • G06T5/50—Image enhancement or restoration by the use of more than one image, e.g. averaging, subtraction
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/10—Segmentation; Edge detection
    • G06T7/13—Edge detection
    • 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
    • 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; 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
    • G06V10/803—Fusion, i.e. combining data from various sources at the sensor level, preprocessing level, feature extraction level or classification level of input or preprocessed data
    • 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
    • G06V40/166—Detection; Localisation; Normalisation using acquisition arrangements
    • 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
    • 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
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/20—Special algorithmic details
    • G06T2207/20212—Image combination
    • G06T2207/20221—Image fusion; Image merging
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/30—Subject of image; Context of image processing
    • G06T2207/30196—Human being; Person
    • G06T2207/30201—Face
SG11201912428TA 2018-04-24 2018-11-21 Method and apparatus for positioning face feature points SG11201912428TA (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
CN201810373871.6A CN108596093B (en) 2018-04-24 2018-04-24 Method and device for positioning human face characteristic points
PCT/CN2018/116779 WO2019205605A1 (en) 2018-04-24 2018-11-21 Facial feature point location method and device

Publications (1)

Publication Number Publication Date
SG11201912428TA true SG11201912428TA (en) 2020-01-30

Family

ID=63614398

Family Applications (1)

Application Number Title Priority Date Filing Date
SG11201912428TA SG11201912428TA (en) 2018-04-24 2018-11-21 Method and apparatus for positioning face feature points

Country Status (6)

Country Link
US (1) US11314965B2 (en)
JP (1) JP7042849B2 (en)
KR (1) KR102334279B1 (en)
CN (1) CN108596093B (en)
SG (1) SG11201912428TA (en)
WO (1) WO2019205605A1 (en)

Families Citing this family (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108596093B (en) 2018-04-24 2021-12-03 北京市商汤科技开发有限公司 Method and device for positioning human face characteristic points
CN109285182A (en) * 2018-09-29 2019-01-29 北京三快在线科技有限公司 Model generating method, device, electronic equipment and computer readable storage medium
CN109522910B (en) * 2018-12-25 2020-12-11 浙江商汤科技开发有限公司 Key point detection method and device, electronic equipment and storage medium
CN109461188B (en) * 2019-01-30 2019-04-26 南京邮电大学 A kind of two-dimensional x-ray cephalometry image anatomical features point automatic positioning method
CN111553865B (en) * 2020-04-30 2023-08-22 深圳市商汤科技有限公司 Image restoration method and device, electronic equipment and storage medium
CN112836654A (en) * 2021-02-07 2021-05-25 上海卓繁信息技术股份有限公司 Expression recognition method and device based on fusion and electronic equipment
CN115564837B (en) * 2022-11-17 2023-04-18 歌尔股份有限公司 Visual positioning method, device and system

Family Cites Families (13)

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Publication number Priority date Publication date Assignee Title
JP4217664B2 (en) * 2004-06-28 2009-02-04 キヤノン株式会社 Image processing method and image processing apparatus
US8620038B2 (en) * 2006-05-05 2013-12-31 Parham Aarabi Method, system and computer program product for automatic and semi-automatic modification of digital images of faces
JP4811259B2 (en) * 2006-12-11 2011-11-09 日産自動車株式会社 Gaze direction estimation apparatus and gaze direction estimation method
JP5202037B2 (en) * 2008-02-29 2013-06-05 キヤノン株式会社 Feature point position determination method and apparatus
JP5153434B2 (en) * 2008-04-22 2013-02-27 キヤノン株式会社 Information processing apparatus and information processing method
CN103679158B (en) * 2013-12-31 2017-06-16 北京天诚盛业科技有限公司 Face authentication method and device
CN106156692B (en) * 2015-03-25 2019-12-13 阿里巴巴集团控股有限公司 method and device for positioning human face edge feature points
US10198624B2 (en) * 2016-02-18 2019-02-05 Pinscreen, Inc. Segmentation-guided real-time facial performance capture
KR101785661B1 (en) * 2016-12-06 2017-10-17 인천대학교 산학협력단 Face line recognition method using gray-value variance and apparatus thereof
US11182629B2 (en) * 2017-01-31 2021-11-23 The Regents Of The University Of California Machine learning based driver assistance
CN106951840A (en) * 2017-03-09 2017-07-14 北京工业大学 A kind of facial feature points detection method
CN107832741A (en) * 2017-11-28 2018-03-23 北京小米移动软件有限公司 The method, apparatus and computer-readable recording medium of facial modeling
CN108596093B (en) * 2018-04-24 2021-12-03 北京市商汤科技开发有限公司 Method and device for positioning human face characteristic points

Also Published As

Publication number Publication date
CN108596093B (en) 2021-12-03
WO2019205605A1 (en) 2019-10-31
CN108596093A (en) 2018-09-28
KR20200010397A (en) 2020-01-30
US20200125833A1 (en) 2020-04-23
JP7042849B2 (en) 2022-03-28
JP2020523694A (en) 2020-08-06
US11314965B2 (en) 2022-04-26
KR102334279B1 (en) 2021-12-02

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