CN110310167A - Customized clothing size matching process based on 3-D scanning and deep learning - Google Patents
Customized clothing size matching process based on 3-D scanning and deep learning Download PDFInfo
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- CN110310167A CN110310167A CN201910401551.1A CN201910401551A CN110310167A CN 110310167 A CN110310167 A CN 110310167A CN 201910401551 A CN201910401551 A CN 201910401551A CN 110310167 A CN110310167 A CN 110310167A
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Abstract
The invention discloses the customized clothing size matching process under a kind of big data environment based on 3-D scanning and deep learning.Customized clothing size matching process under big data environment of the present invention based on 3-D scanning and deep learning, it include: main first first to obtain mass data on category apparel industry chain for the clothes of a certain classification, carry out the acquisition of data, obtain the big data environment of the industrial chain, the data for combing out " success " classification under the big data environment on this basis establish " human somatotype-garment size " successful match case library of category clothes.Beneficial effects of the present invention: the customized clothing size matching process based on 3-D scanning and deep learning under a kind of big data environment is improved, the matching efficiency of the size of customized clothing is improved.
Description
Technical field
The present invention relates to garment industries, and in particular under a kind of big data environment based on 3-D scanning and deep learning
Property garment size matching process.
Background technique
Deep learning (Deep Learning, DL) or stratum's study (hierarchical learning) are machine learning
Technology and one of research field, there is artificial neural network (the Artifitial Neural of hierarchical structure by establishing
Networks, ANNs), artificial intelligence is realized in computing systems.Since stratum ANN can successively extract input information
And screening, therefore deep learning has representative learning (representation learning) ability, may be implemented end to end
Supervised learning and unsupervised learning.In addition, deep learning may also participate in building intensified learning (reinforcement
Learning) system forms deeply study.
Stratum ANN used in deep learning has variform, and the complexity of stratum is commonly referred to as " depth ".By structure
Build type, the form of deep learning include multilayer perceptron, convolutional neural networks, Recognition with Recurrent Neural Network, depth confidence network and
Other mixing are constructed.Deep learning it is constructed using data in parameter be updated to reach training objective, the process quilt
It is commonly referred to as " learning ".The common methods of study are gradient descent algorithm and its variant, and some Statistical Learning Theories be used to learn
The optimization of process.
In application aspect, deep learning be used to learn the high dimensional data of labyrinth and large sample, by research
Field includes computer vision, natural language processing, bioinformatics, automatic control etc., and Identification of Images, machine translation,
Success is achieved in the realistic problems such as automatic Pilot.
There are following technical problems for traditional technology:
Deep learning is applied to customized clothing matching field not yet.
Summary of the invention
The technical problem to be solved in the present invention is to provide under a kind of big data environment based on 3-D scanning and deep learning
Customized clothing size matching process, improves the matching efficiency of the size of customized clothing.
In order to solve the above-mentioned technical problems, the present invention provides under big data environment based on 3-D scanning and deep learning
Customized clothing size matching process, comprising:
Mass data is mainly first obtained on category apparel industry chain first for the clothes of a certain classification, carries out data
Acquisition, obtain the big data environment of the industrial chain, comb out " success " classification under the big data environment on this basis
Data establish " human somatotype-garment size " successful match case library of category clothes；
Body scans are carried out to consumer by 3-D scanning, and obtain the human body key position dimension information of consumer,
The information will be compared with the case in " human body key position dimension information library in case ", search the figure letter of similar cases
Breath, and call the size result of similar cases associated therewith in " the sizing information library being successfully matched " being matched.
" human somatotype-garment size " the successful match case library includes two word banks in one of the embodiments:
Human body key position dimension information library and the sizing information library being successfully matched in case.
It include in one of the embodiments, two sons in described " human somatotype-garment size " successful match case library
Mapping relations between library.
A kind of computer equipment can be run on a memory and on a processor including memory, processor and storage
The step of computer program, the processor realizes any one the method when executing described program.
A kind of computer readable storage medium, is stored thereon with computer program, realization when which is executed by processor
The step of any one the method.
A kind of processor, the processor is for running program, wherein described program executes described in any item when running
Method.
Beneficial effects of the present invention:
The customized clothing size matching process based on 3-D scanning and deep learning under a kind of big data environment is improved, is mentioned
The matching efficiency of the size of high individual clothes.
Detailed description of the invention
Fig. 1 is the customized clothing size matching process under big data environment of the present invention based on 3-D scanning and deep learning
Functional block diagram.
Fig. 2 is the customized clothing size matching process under big data environment of the present invention based on 3-D scanning and deep learning
Work flow diagram.
Specific embodiment
The present invention will be further explained below with reference to the attached drawings and specific examples, so that those skilled in the art can be with
It more fully understands the present invention and can be practiced, but illustrated embodiment is not as a limitation of the invention.
Refering to fig. 1 and Fig. 2, for the clothes of a certain classification, the present invention is main first on category apparel industry chain first
Mass data is obtained, the acquisition of data is carried out, obtains the big data environment of the industrial chain, comb out the big data on this basis
The data of " success " classification under environment establish " human somatotype-garment size " successful match case library of category clothes.This
Inventing " human somatotype-garment size " the successful match case library proposed includes two word banks: human body key position in case
Dimension information library and the sizing information library being successfully matched." human somatotype-garment size " successful match proposed by the invention
Also comprising the mapping relations between two word banks in case library.
In actual application, body scans are carried out to consumer by 3-D scanning, and the human body for obtaining consumer closes
Key spot size information, the information will be compared with the case in " human body key position dimension information library in case ", search
The body-shape information of similar cases, and call the quilt of similar cases associated therewith in " the sizing information library being successfully matched "
The size result matched.
Embodiment described above is only to absolutely prove preferred embodiment that is of the invention and being lifted, protection model of the invention
It encloses without being limited thereto.Those skilled in the art's made equivalent substitute or transformation on the basis of the present invention, in the present invention
Protection scope within.Protection scope of the present invention is subject to claims.
Claims (6)
1. the customized clothing size matching process under a kind of big data environment based on 3-D scanning and deep learning, feature exist
In, comprising:
Mass data first mainly is obtained on category apparel industry chain first for the clothes of a certain classification, carries out adopting for data
Collection, obtains the big data environment of the industrial chain, combs out the data of " success " classification under the big data environment on this basis,
Establish " human somatotype-garment size " successful match case library of category clothes；
Body scans are carried out to consumer by 3-D scanning, and obtain the human body key position dimension information of consumer, the letter
Breath will be compared with the case in " human body key position dimension information library in case ", search the body-shape information of similar cases,
And call the size result of similar cases associated therewith in " the sizing information library being successfully matched " being matched.
2. being matched under big data environment as described in claim 1 based on 3-D scanning and the customized clothing size of deep learning
Method, which is characterized in that " human somatotype-garment size " the successful match case library includes two word banks: human body in case
Key position dimension information library and the sizing information library being successfully matched.
3. being matched under big data environment as described in claim 1 based on 3-D scanning and the customized clothing size of deep learning
Method, which is characterized in that include the mapping between two word banks in " human somatotype-garment size " the successful match case library
Relationship.
4. a kind of computer equipment including memory, processor and stores the meter that can be run on a memory and on a processor
Calculation machine program, which is characterized in that the processor realizes any one of claims 1 to 3 the method when executing described program
Step.
5. a kind of computer readable storage medium, is stored thereon with computer program, which is characterized in that the program is held by processor
The step of any one of claims 1 to 3 the method is realized when row.
6. a kind of processor, which is characterized in that the processor is for running program, wherein right of execution when described program is run
Benefit requires 1 to 3 described in any item methods.
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| CN201910401551.1A CN110310167A (en) | 2019-05-14 | 2019-05-14 | Customized clothing size matching process based on 3-D scanning and deep learning |
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| CN201910401551.1A CN110310167A (en) | 2019-05-14 | 2019-05-14 | Customized clothing size matching process based on 3-D scanning and deep learning |
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104091269A (en) * | 2014-06-30 | 2014-10-08 | 京东方科技集团股份有限公司 | Virtual fitting method and virtual fitting system |
| CN104318000A (en) * | 2014-10-17 | 2015-01-28 | 上海和鹰机电科技股份有限公司 | Automatic generating method of ready-made garment |
| WO2017014704A1 (en) * | 2015-07-22 | 2017-01-26 | KORKMAZ, İbrahim | Multifunctional shopping method and system involving 3 dimensional digital fitting room measurement |
| CN107180375A (en) * | 2017-05-04 | 2017-09-19 | 东华大学 | A kind of garment size commending system based on multilayer neural network |
| CN108564612A (en) * | 2018-03-26 | 2018-09-21 | 广东欧珀移动通信有限公司 | Model display methods, device, storage medium and electronic equipment |
-
2019
- 2019-05-14 CN CN201910401551.1A patent/CN110310167A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104091269A (en) * | 2014-06-30 | 2014-10-08 | 京东方科技集团股份有限公司 | Virtual fitting method and virtual fitting system |
| CN104318000A (en) * | 2014-10-17 | 2015-01-28 | 上海和鹰机电科技股份有限公司 | Automatic generating method of ready-made garment |
| WO2017014704A1 (en) * | 2015-07-22 | 2017-01-26 | KORKMAZ, İbrahim | Multifunctional shopping method and system involving 3 dimensional digital fitting room measurement |
| CN107180375A (en) * | 2017-05-04 | 2017-09-19 | 东华大学 | A kind of garment size commending system based on multilayer neural network |
| CN108564612A (en) * | 2018-03-26 | 2018-09-21 | 广东欧珀移动通信有限公司 | Model display methods, device, storage medium and electronic equipment |
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Effective date of registration: 20201016 Address after: No. 10, Lishe lane, Gusu District, Suzhou City, Jiangsu Province, 215000 Applicant after: Suzhou Yanrui Textile Technology Co.,Ltd. Address before: 215021 Block B, Engineering Building, 178 Ganjiang East Road, Gusu District, Suzhou City, Jiangsu Province Applicant before: Hong Yan |
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Application publication date: 20191008 |