CN109978655A - A kind of virtual frame matching method and system - Google Patents

A kind of virtual frame matching method and system Download PDF

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Publication number
CN109978655A
CN109978655A CN201910031660.9A CN201910031660A CN109978655A CN 109978655 A CN109978655 A CN 109978655A CN 201910031660 A CN201910031660 A CN 201910031660A CN 109978655 A CN109978655 A CN 109978655A
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frame
user
face
module
image
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臧睿
甄毅
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Ming Hao Technology (beijing) Co Ltd
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Ming Hao Technology (beijing) Co Ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00Commerce
    • G06Q30/06Buying, selling or leasing transactions
    • G06Q30/0601Electronic shopping [e-shopping]
    • G06Q30/0631Item recommendations
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00Commerce
    • G06Q30/06Buying, selling or leasing transactions
    • G06Q30/0601Electronic shopping [e-shopping]
    • G06Q30/0641Shopping interfaces
    • G06Q30/0643Graphical representation of items or shoppers
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00Image enhancement or restoration
    • G06T5/50Image enhancement or restoration using two or more images, e.g. averaging or subtraction
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/0002Inspection of images, e.g. flaw detection
    • G06T7/0012Biomedical image inspection
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00Scenes; Scene-specific elements
    • G06V20/40Scenes; Scene-specific elements in video content
    • G06V20/46Extracting features or characteristics from the video content, e.g. video fingerprints, representative shots or key frames
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/16Human faces, e.g. facial parts, sketches or expressions
    • G06V40/168Feature extraction; Face representation
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/10Image acquisition modality
    • G06T2207/10016Video; Image sequence
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/20Special algorithmic details
    • G06T2207/20212Image combination
    • G06T2207/20221Image fusion; Image merging
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/30Subject of image; Context of image processing
    • G06T2207/30004Biomedical image processing
    • G06T2207/30041Eye; Retina; Ophthalmic
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/30Subject of image; Context of image processing
    • G06T2207/30196Human being; Person
    • G06T2207/30201Face

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  • Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Business, Economics & Management (AREA)
  • Physics & Mathematics (AREA)
  • Accounting & Taxation (AREA)
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  • Oral & Maxillofacial Surgery (AREA)
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  • Quality & Reliability (AREA)
  • Radiology & Medical Imaging (AREA)
  • Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
  • Medical Informatics (AREA)
  • Human Computer Interaction (AREA)
  • Processing Or Creating Images (AREA)

Abstract

The invention discloses a kind of virtual frames to match system, which includes: the head video frame image that photographic device obtains user;Screening module screens video frame images, filters out N images;Face detection module handles the image filtered out, obtains the face feature data of user, and face feature data include the shape of face data of user;Recommending module matches multiple alternative virtual frames of suitable user's shape of face and recommends user according to the shape of face data of user, and the Adapted information of pre-stored trained shape of face and frame;It tries module on to merge the virtual frame and N of recommendation an image, obtains fused image.The present invention also provides the matching methods based on above system.The system is based on face actual parameter and recommends frame, and first from medically ensure that frame is most suitable A nearsighted person, next provides multi-angle and virtually wears test, facilitates A nearsighted person on the basis of guaranteeing science, selects most suitable frame.

Description

A kind of virtual frame matching method and system
Technical field
The present invention relates to human face detection tech fields, and in particular to a kind of virtual frame matching method and system.
Background technique
Most of people for needing to match glasses require to try selected glasses on before purchase, to guarantee that it is suitble to certainly Oneself shape of face, traditional generally requires consumer to the apolegamy of shop scene with mirror method.It can be with although mode is matched at shop scene The style of frame is intuitively observed very much, but its error process needs take considerable time, and in traditional eyewear shop The style of the frame of offer is very limited, each style generally also only one specification, therefore chooses certain style When glasses try-in, generally also therefore only one specification when choosing the glasses try-in of certain style, has been difficult each style Accomplish the shape of face for being adapted to client entirely, businessman is likely to therefore lose the chance of transaction.Meanwhile eye is tried on mirror method for tradition Mirror is generally all worn through excessive person-time of repetition, and it is easy to appear the chances of germ cross infection during trying on.
Summary of the invention
In view of the above-mentioned problems, the present invention provides a kind of virtual frame matching method and system.
The purpose of the present invention is realized using following technical scheme:
First aspect present invention provides a kind of virtual frame apolegamy system, and the apolegamy system includes: photographic device, sieve Modeling block, face detection module, recommending module and try module on;
The photographic device, for obtaining the head video frame image of user's different angle;
The screening module filters out N, the N images include one for screening to the video frame images Open user's face image and an at least face side image;
The face detection module obtains the face feature data of user, institute for handling the image filtered out State the shape of face data that face feature data include user;
The recommending module, for the shape of face data according to the user, and pre-stored trained shape of face With the Adapted information of frame, matches the multiple alternative virtual frames for being suitble to user's shape of face and recommend the user;
It is described to try module on, for merging the virtual frame recommended and the N images, obtain fused Image, so that the user selects and determine suitable frame.
Preferably, the pick-up lens of the photographic device is directed at the head of the user.
Preferably, which further includes Medicine standard with mirror database, and the Medicine standard is with pre- in mirror database There are the Adapted information of trained shape of face and frame, and the model and colouring information of corresponding frame.
Preferably, which further includes and the computing module for trying module communication connection on, the computing module According to fused image, required various data when calculating with mirror, the data include user's interpupillary distance, pupil height, mirror eye distance With mirror canthus;
Preferably, the apolegamy system further include with the output module for trying module on and computing module is connect, it is described defeated Module is used to export frame information that user selectes and various data when with mirror out;The frame information includes frame model With frame color.
The utility model has the advantages that virtual frame apolegamy system, which is based on face actual parameter, recommends frame, first from medically guaranteeing Frame is most suitable A nearsighted person.Next provides the virtual wearing test of multi-angle, facilitates A nearsighted person in guarantee section On the basis of, most suitable frame is selected.
Second aspect of the present invention provides a kind of virtual frame matching method, and the method includes virtual mirrors as described above Frame matches system, the method also includes:
Obtain the head video frame image of user's different angle;
The video frame images are screened, N images are filtered out, the N images include the positive face figure of a user Picture and at least a face side image;
The image filtered out is handled, the face feature data of user are obtained, the face feature data include using The shape of face data at family;
According to the shape of face data of the user, and the Adapted information of pre-stored trained shape of face and frame, It matches the multiple alternative virtual frames for being suitble to user's shape of face and recommends the user.
Preferably, the method also includes: according to fused image, required various data, institute when calculating with mirror Stating data includes user's interpupillary distance, pupil height, mirror eye distance and mirror canthus;
Various data when the method also includes: the frame information selected of output user and with mirror;The frame letter Breath includes frame model and frame color.
The utility model has the advantages that the virtual frame matching method, which is based on face actual parameter, recommends frame, first from medically guaranteeing Frame is most suitable A nearsighted person.Next provides the virtual wearing test of multi-angle, facilitates A nearsighted person in guarantee section On the basis of, most suitable frame is selected.
Detailed description of the invention
The present invention will be further described with reference to the accompanying drawings, but the embodiment in attached drawing is not constituted to any limit of the invention System, for those of ordinary skill in the art, without creative efforts, can also obtain according to the following drawings Other attached drawings.
Fig. 1 is a kind of frame construction drawing of virtual frame apolegamy system provided in an embodiment of the present invention.
Appended drawing reference: photographic device 1;Screening module 2;Face detection module 3;Recommending module 4;Try module 5 on;Medicine mark Standard matches mirror database 6;Computing module 7;Output module 8.
Specific embodiment
The invention will be further described with the following Examples.
Referring to Fig. 1, a kind of virtual frame apolegamy system, the apolegamy system includes: photographic device 1, screening module 2, people Face detection module 3, recommending module 4 and try module 5 on;
The photographic device 1, for obtaining the head video frame image of user's different angle;The photographic device 1 is taken the photograph The head of the user as described in alignment lens.In a kind of optional embodiment, the head video frame of user's different angle is obtained The means of image are: user is sitting on rotatable chair, and mobile phone remains stationary, and passes through the video record function of mobile phone, shooting The head video image that user rotates a circle.It should be understood that above-mentioned embodiment is an exemplary illustration, pass through The head video image that other modes obtain user's different angle also belongs to invention which is intended to be protected, such as holding account Portion is motionless, and photographic device 1 rotates a circle head video image, user's head and the photographic device 1 for shooting and obtaining around user together When rotate obtained from different angle user's head video image.
The screening module 2 filters out N images, the N images for screening to the video frame images Including user's face image and an at least face side image;In a kind of optional embodiment, by recording Head video image analyzed frame by frame, filter out the user's head image of 13 different angles, 13 different angles User images include: user's face image (0 degree), face image (90 degree, 75 degree, 60 degree, 45 degree, 30 degree, 15 degree) on the left of user With user right face image (90 degree, 75 degree, 60 degree, 45 degree, 30 degree, 15 degree).It should be noted that being sitting in user rotatable Chair for, face images refer on the left of 15 degree of users: using the user's face image being recorded to as initial position, rotating chair to When left side rotates 15 degree, head video image that mobile phone takes.
The face detection module 3 obtains the face feature data of user for handling the image filtered out, The face feature data include the shape of face data of user;
The recommending module 4, for the shape of face data according to the user, and pre-stored trained shape of face With the Adapted information of frame, matches the multiple alternative virtual frames for being suitble to user's shape of face and recommend the user;
It is described to try module 5 on, for merging the virtual frame recommended and the N images, after obtaining fusion Image, so that the user selects and determines suitable frame.By trying module 5 on, user is facilitated to be melted according to what it was provided Image selection after conjunction is suitble to the frame of oneself, and without the frame in wearing spectacles shop repeatedly, the intersection for also avoiding germ is passed Dye.
Preferably, which further includes Medicine standard with mirror database 6, and the Medicine standard matches mirror number According to the Adapted information for prestoring trained shape of face and frame in library 6, and the model and colouring information of corresponding frame.
Preferably, which further includes and the computing module 7 for trying the communication connection of module 5 on, institute Computing module 7 is stated according to fused image, required various data when calculating with mirror, the data include user's interpupillary distance, Pupil height, mirror eye distance and mirror canthus.
Required various data when being calculated using computing module 7 with mirror, instead of optist's manual measurement, so that matching mirror More convenient and quicker, and user measures when replacing glasses without optist again.
Preferably, which further includes and the output mould for trying module on and computing module is connect Block, the output module is used to export frame information that user selectes and various data when with mirror;The frame information packet Include frame model and frame color.
The utility model has the advantages that virtual frame apolegamy system, which is based on face actual parameter, recommends frame, first from medically guaranteeing Frame is most suitable A nearsighted person.Next provides the virtual wearing test of multi-angle, facilitates A nearsighted person in guarantee section On the basis of, most suitable frame is selected.User matches system by the virtual frame, can be conveniently and efficiently according to user Shape of face and face position Data Matching go out the frame being adapted to user, and during being tried on, are obtained by computing module 7 Various data when with mirror can provide accurately parameter for factory, the mirror being adapted to the most with facilitating plant produced to go out with user Frame.
It is using the concrete methods of realizing that virtual frame apolegamy system shown in FIG. 1 carries out virtual frame apolegamy:
Obtain the head video frame image of user's different angle;
The video frame images are screened, N images are filtered out, the N images include the positive face figure of a user Picture and at least a face side image;
The N filtered out images are handled, obtain the face feature data of user, the face feature data include The shape of face data of user;
According to the shape of face data of the user, and the Adapted information of pre-stored trained shape of face and frame, It matches the multiple alternative virtual frames for being suitble to user's shape of face and recommends the user;
The virtual frame of recommendation and the user's head image are combined, the user for fitting multi-angle virtually tries The photo worn, so that the user selects and determine suitable frame.
According to fused image, required various data when calculating with mirror, the data include user's interpupillary distance, pupil High, mirror eye distance and mirror canthus;
The frame information selected of output user and various data when with mirror;The frame information include frame model and Frame color.
The utility model has the advantages that the virtual frame matching method, which is based on face actual parameter, recommends frame, first from medically guaranteeing Frame is most suitable A nearsighted person.Next provides the virtual wearing test of multi-angle, facilitates A nearsighted person in guarantee section On the basis of, most suitable frame is selected.
Finally it should be noted that the above embodiments are merely illustrative of the technical solutions of the present invention, rather than the present invention is protected The limitation of range is protected, although explaining in detail referring to preferred embodiment to the present invention, those skilled in the art are answered Work as understanding, it can be with modification or equivalent replacement of the technical solution of the present invention are made, without departing from the reality of technical solution of the present invention Matter and range.

Claims (6)

1. a kind of virtual frame matches system, characterized in that the apolegamy system includes: photographic device, screening module, face inspection It surveys module, recommending module and tries module on;
The photographic device, for obtaining the head video frame image of user's different angle;
The screening module filters out N, the N images include a use for screening to the video frame images Family face image and at least a face side image;
The face detection module obtains the face feature data of user, the face for handling the image filtered out Portion's characteristic includes the shape of face data of user;
The recommending module, for the shape of face data according to the user, and pre-stored trained shape of face and mirror The Adapted information of frame matches the multiple alternative virtual frames for being suitble to user's shape of face and recommends the user;
It is described to try module on, for merging the virtual frame recommended and the N images, obtain fused figure Picture, so that the user selects and determine suitable frame.
2. virtual frame according to claim 1 matches system, characterized in that the pick-up lens of the photographic device is aligned The head of the user.
3. virtual frame according to claim 1 matches system, characterized in that it further include that Medicine standard matches mirror database, The Medicine standard is with the Adapted information for prestoring trained shape of face and frame in mirror database, and the type of corresponding frame Number and colouring information.
4. virtual frame according to claim 1 matches system, characterized in that further include trying module communication link on described The computing module connect, the computing module is according to fused image, required various data, the data when calculating with mirror Including user's interpupillary distance, pupil height, mirror eye distance and mirror canthus;
Further include with the output module for trying module on and computing module is connect, the output module is selected for exporting user Frame information and various data when with mirror;The frame information includes frame model and frame color.
5. a kind of virtual frame matching method, characterized in that the method includes the virtual mirrors as described in claim 1-4 is any Frame matches system, the method also includes:
Obtain the head video frame image of user's different angle;
The video frame images are screened, filter out N images, the N images include user's face image and An at least face side image;
The image filtered out is handled, obtains the face feature data of user, the face feature data include user's Shape of face data;
According to the shape of face data of the user, and the Adapted information of pre-stored trained shape of face and frame, matching It is suitble to multiple alternative virtual frames of user's shape of face out and recommends the user.
6. virtual frame matching method according to claim 5, characterized in that the method also includes: after fusion Image, required various data when calculating with mirror, the data include user's interpupillary distance, pupil high, mirror eye distance and mirror canthus;
Various data when the method also includes: the frame information selected of output user and with mirror;The frame information packet Include frame model and frame color.
CN201910031660.9A 2019-01-14 2019-01-14 A kind of virtual frame matching method and system Pending CN109978655A (en)

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Cited By (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110543874A (en) * 2019-09-19 2019-12-06 溧阳市中医医院 Head image acquisition device, online glasses matching system and glasses matching method
CN110648393A (en) * 2019-09-18 2020-01-03 广州智美科技有限公司 Glasses customization method and device based on 3D face model and terminal
CN110866970A (en) * 2019-10-21 2020-03-06 西南民族大学 System and method for realizing reconstruction lens matching through face key point identification
CN112084398A (en) * 2020-07-28 2020-12-15 北京旷视科技有限公司 Accessory recommendation method, accessory virtual try-on method and device and electronic equipment
CN113867537A (en) * 2021-10-15 2021-12-31 大连鉴影光学科技有限公司 Intelligent self-service glasses changing and matching system and method
CN114419703A (en) * 2021-12-31 2022-04-29 北京怡和嘉业医疗科技股份有限公司 Virtual wearing method and device of mask, terminal equipment and readable storage medium
CN118052151A (en) * 2024-04-11 2024-05-17 浙江酷趣智能科技有限公司 Intelligent real experience simulation system and method for design of child sunglasses frame

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CN103413118A (en) * 2013-07-18 2013-11-27 毕胜 On-line glasses try-on method
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CN105354792A (en) * 2015-10-27 2016-02-24 深圳市朗形网络科技有限公司 Method for trying virtual glasses and mobile terminal
CN105809507A (en) * 2016-02-29 2016-07-27 北京酷配科技有限公司 Virtualized wearing method and virtualized wearing apparatus
CN109003298A (en) * 2017-06-02 2018-12-14 视镜科技有限公司 virtual glasses matching method and system

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CN1255989A (en) * 1998-02-03 2000-06-07 西乡刚 Simulation system for wearing glasses
CN103413118A (en) * 2013-07-18 2013-11-27 毕胜 On-line glasses try-on method
CN104750933A (en) * 2015-04-03 2015-07-01 福建省纳金网信息技术有限公司 Eyeglass trying on method and system based on Internet
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Cited By (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110648393A (en) * 2019-09-18 2020-01-03 广州智美科技有限公司 Glasses customization method and device based on 3D face model and terminal
CN110543874A (en) * 2019-09-19 2019-12-06 溧阳市中医医院 Head image acquisition device, online glasses matching system and glasses matching method
CN110866970A (en) * 2019-10-21 2020-03-06 西南民族大学 System and method for realizing reconstruction lens matching through face key point identification
CN112084398A (en) * 2020-07-28 2020-12-15 北京旷视科技有限公司 Accessory recommendation method, accessory virtual try-on method and device and electronic equipment
CN113867537A (en) * 2021-10-15 2021-12-31 大连鉴影光学科技有限公司 Intelligent self-service glasses changing and matching system and method
CN114419703A (en) * 2021-12-31 2022-04-29 北京怡和嘉业医疗科技股份有限公司 Virtual wearing method and device of mask, terminal equipment and readable storage medium
WO2023124878A1 (en) * 2021-12-31 2023-07-06 北京怡和嘉业医疗科技股份有限公司 Virtual mask wearing method and apparatus, terminal device, and readable storage medium
CN118052151A (en) * 2024-04-11 2024-05-17 浙江酷趣智能科技有限公司 Intelligent real experience simulation system and method for design of child sunglasses frame

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Application publication date: 20190705