CN103767219B - Contactless humanbody three-dimensional dimension measuring method - Google Patents
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- CN103767219B CN103767219B CN201410014828.2A CN201410014828A CN103767219B CN 103767219 B CN103767219 B CN 103767219B CN 201410014828 A CN201410014828 A CN 201410014828A CN 103767219 B CN103767219 B CN 103767219B
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- 238000000034 method Methods 0.000 title claims abstract description 23
- 238000005259 measurement Methods 0.000 claims abstract description 16
- 238000002203 pretreatment Methods 0.000 claims description 6
- 238000006467 substitution reaction Methods 0.000 claims description 6
- 230000037396 body weight Effects 0.000 claims description 4
- 238000000205 computational method Methods 0.000 claims description 4
- 238000012546 transfer Methods 0.000 claims description 3
- 238000004519 manufacturing process Methods 0.000 abstract description 11
- 238000005516 engineering process Methods 0.000 description 5
- 210000001217 buttock Anatomy 0.000 description 3
- 238000011161 development Methods 0.000 description 3
- 238000012545 processing Methods 0.000 description 3
- 210000000707 wrist Anatomy 0.000 description 3
- 210000000481 breast Anatomy 0.000 description 2
- 238000006243 chemical reaction Methods 0.000 description 2
- 210000000038 chest Anatomy 0.000 description 2
- 210000003141 lower extremity Anatomy 0.000 description 2
- 230000006855 networking Effects 0.000 description 2
- 206010034203 Pectus Carinatum Diseases 0.000 description 1
- 210000001015 abdomen Anatomy 0.000 description 1
- 238000013528 artificial neural network Methods 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 239000004744 fabric Substances 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000003672 processing method Methods 0.000 description 1
- 238000000611 regression analysis Methods 0.000 description 1
- 238000000926 separation method Methods 0.000 description 1
- 238000009958 sewing Methods 0.000 description 1
- 238000004088 simulation Methods 0.000 description 1
- 238000013519 translation Methods 0.000 description 1
Abstract
The invention belongs to clothing and manufacture field, particularly to contactless humanbody three-dimensional dimension measuring method method, including obtaining human body digital pictures; The pixel measurement of multiple physical characteristic points of human body in logarithmic code picture, and obtain the first size group of the physical characteristic of human body in digital pictures by calculating; Calculate corresponding to the second set of dimensions of the actual physical characteristic of human body in digital pictures according to first size group. The present invention can complete the measurement of buman body type size in non-at-scene or long-range non-contacting situation, and use cost is low, and application is extensive.
Description
Technical field
The invention belongs to clothing and manufacture field, particularly to contactless humanbody three-dimensional dimension measuring method.
Background technology
Along with development and the application of information technology and advanced manufacturing technology, large-scale customization also becomes the development trend of garment manufacturing industry. Clothing large-scale customization realizes the single sanction of single amount with flexible production line for consumer, customized, it is possible to be substantially reduced the production cost of creation, makes creation walk out the restriction of originally narrow high-end market, meets the consumption demand that people are growing.
In custom made clothing, fabric customization in customized demand, style customization, modification customization or can be determined from main separation by custom web site at scene, customization shop by subscriber, Major Difficulties is in that non-at-scene customization, and how quick acquisition accurately customizes the size information of consumer. In garment production, the size of the person that clothing is most important data during clothing manufacture, and it is the benchmark of dress designing, cutting out clothes material, garment sewing. These data, as height, shoulder breadth, neck circumference, chest measurement, waistline, hip circumference, brachium, upper-arm circumference, wrist circumference, lower limb enclose, are measured by the body profile dimensions of human body to obtain entirely.
For a long time, the acquisition of buman body type size relies primarily on scene (contact) and measures body, is namely utilized flexible tape measure measurement next to the skin by experienced tailor. Along with the development of information technology, only a few is also had to utilize the technology such as various 3D shooting or 3D scanning imagery to obtain buman body type size. Above-mentioned prior art all Shortcomings: first, custom made clothing person must complete size customization at the scene, it is impossible to adapts to the remote customisation of cybertimes; Secondly, this tittle body method is all probably due to need professional skill, if desired for the amount body technical ability of sewer or need the operant skill of pro digital amount body equipment, or professional equipment and cannot be used widely.
Summary of the invention
It is an object of the invention to provide contactless humanbody three-dimensional dimension measuring method, it is possible to completing the measurement of buman body type size in non-at-scene or long-range non-contacting situation, use cost is low, and application is extensive.
To achieve these goals, the technical solution used in the present invention is as follows: contactless humanbody three-dimensional dimension measuring method, it is characterised in that the method comprises the following steps:
S01: obtain human body digital pictures;
S02: the pixel measurement of multiple physical characteristic points of human body in logarithmic code picture, and by counting
Calculate and obtain the first size group of the physical characteristic of human body in digital pictures;
S03: calculate corresponding to the actual physical characteristic of human body in digital pictures according to first size group
Second set of dimensions.
Preferably, the human body digital pictures of described acquisition includes at least one front projection figure and at least one side projection figure.
Preferably, described first size group includes the lateral dimension and the longitudinal size that correspond respectively to multiple physical characteristic point, and the second set of dimensions includes the length dimension and the girth size that correspond respectively to multiple physical characteristic point.
Preferably, also including the pre-treatment step of digital pictures before described S02 step, this pre-treatment step includes multiple pictures are carried out proportional zoom, angle adjustment and upset, so that the ratio of multiple picture keeps consistent with angle.
Preferably, described length dimension calculates acquisition in proportion according to lateral dimension and longitudinal size, and described girth size calculates acquisition with longitudinal size by degree of enclosing function according to lateral dimension.
Preferably, the computational methods in described S03 step include: be combined calculating according to first size group with corrected parameter and obtain the second set of dimensions, and described corrected parameter is determined with height according to the body weight of human body.
Preferably, also comprised the steps: before described S03 step
S11: judge whether first size group belongs to special type size;
S12: be then directly entered S03 step if not; If so, then transfer from data base and first size
The special type size that group matches;
S13: with special type size substitution for first size group.
Preferably, described S11 step carries out as follows: calculate the dimension scale between multiple physical characteristic points in first size group, it is judged that whether this dimension scale meets the scope of the dimension scale of normal type characteristic point.
Preferably, the special type transferred from data base in described S12 step is of a size of the special type size of special type characteristic point.
Preferably, described S13 step is specially to correspond to the size of this special type characteristic point in the special type size substitution first size group of special type characteristic point.
Compared with prior art, the present invention is by processing the digital pictures of custom made clothing person, complete the determination of the different size of subscriber figure, reaching to obtain the physical characteristic dimensional parameters needed for custom made clothing, subscriber can complete the measurement of buman body type size under non-at-scene or long-range non-contacting condition. The contactless humanbody three-dimensional dimension measuring method of the present invention, have simplicity, quick, accurately, the advantage that is bordering on zero cost, having adapted to cybertimes consumers utilizes custom made clothing website or cell-phone customer terminal to complete the demand of completely personalized size customization in the way of DIY, it is make custom made clothing really move towards networking, popular essential step, is also that garment enterprise implements clothing Mass Customization Production Model important step.
Accompanying drawing explanation
Fig. 1 is the schematic flow sheet of the present invention;
Fig. 2 is another schematic flow sheet of the present invention.
Detailed description of the invention
Below in conjunction with accompanying drawing and embodiment, technical scheme is illustrated.
As it is shown in figure 1, the present invention provides contactless humanbody three-dimensional dimension measuring method, it is characterised in that the method comprises the following steps:
S01: obtain human body digital pictures;
S02: the pixel measurement of multiple physical characteristic points of human body in logarithmic code picture, and by counting
Calculate and obtain the first size group of the physical characteristic of human body in digital pictures;
S03: calculate corresponding to the actual physical characteristic of human body in digital pictures according to first size group
Second set of dimensions.
The customization of clothing needs to use the physical characteristic dimension information of subscriber, it includes shoulder breadth, height, neck circumference, breast encloses, waistline, buttocks encloses, brachium, upper-arm circumference, wrist circumference etc., these dimension informations rely primarily on scene (contact) and measure body at present, namely flexible tape measure measurement next to the skin is utilized by experienced tailor, and the present invention is by processing the digital pictures of custom made clothing person, digital pictures can pass through the network equipment and send to dress manufacturer, the determination of the different size of subscriber figure is completed by dress manufacturer, reach to obtain the physical characteristic dimension information needed for custom made clothing, subscriber can complete the measurement of buman body type size under non-at-scene or long-range non-contacting condition. the contactless humanbody three-dimensional dimension measuring method of the present invention, have simplicity, quick, accurately, the advantage that is bordering on zero cost, having adapted to cybertimes consumers utilizes custom made clothing website or cell-phone customer terminal to complete the demand of completely personalized size customization in the way of DIY, it is make custom made clothing really move towards networking, popular essential step, is also that garment enterprise implements clothing Mass Customization Production Model important step.
In order to make the physical characteristic size of acquisition more mate the build of subscriber, the human body digital pictures of described acquisition includes at least one front projection figure and at least one side projection figure, described first size group includes the lateral dimension and the longitudinal size that correspond respectively to multiple physical characteristic point, and the second set of dimensions includes the length dimension and the girth size that correspond respectively to multiple physical characteristic point. Measurement result according to several pictures revises mutually physical characteristic size, makes final physical characteristic size more mate with the physical characteristic of subscriber. Specifically, it is possible to adopt Graphics Device Interface GDI+ programming to solve, can load, open and check the picture of the common format such as BMP, JPG, the measurement operation of drawing pixel is completed by obtaining physical characteristic point pixel and image scaled in picture.
The picture provided because of subscriber would be likely to occur some defects, therefore before described S02 step, also include the pre-treatment step of digital pictures, this pre-treatment step includes multiple pictures are carried out proportional zoom, angle adjustment and upset, in proportion characteristic chamber length, calculate angle, convergent-divergent, translation, upset, sharpening etc. image processing method, so that the ratio of multiple pictures keeps consistent with angle, dimension information is relatively sharp, improves the accuracy measured.
Preferably, described length dimension calculates acquisition in proportion according to lateral dimension and longitudinal size, and described girth size calculates acquisition with longitudinal size by degree of enclosing function according to lateral dimension. the computational methods of length dimension are relatively simple, directly can convert in proportion by first size group and obtain, there is height, shoulder breadth, brachium equidimension information, and girth size directly cannot be measured conversion in proportion by characteristic point from image again and obtain, therefore from front projection and side projection, conversion in proportion can be measured again by characteristic point and just obtain this girth size, side projection component (represents width and the thickness of human body corresponding position), there is neck circumference, breast encloses, waistline, buttocks encloses, upper-arm circumference, wrist circumference, lower limb encloses, the girth size of correspondence is calculated again by degree of enclosing function, this degree of enclosing function includes applied regression analysis and BP Simulation of Neural Network method, set up each girth size computation model of Regular Human, may be used to analyze, matching and calculate each girth size of specific buman body type.
Buman body type is various, height is different from body weight can form different size, therefore the computational methods in described S03 step include: be combined calculating according to first size group with corrected parameter and obtain the second set of dimensions, described corrected parameter is determined according to the body weight of human body and height, it is determined that method be the Size calculation experience that clothing manufacture that field is conventional.
In addition, part population is also had to possess some special builds, as with shrugging, sunken shoulder, hunchback, pigeon chest, convex abdomen, stuck up the physical characteristics such as buttocks, for this kind of subscriber picture possessing special type, this girth size also needs to special processing mode, as in figure 2 it is shown, also comprised the steps: before described S03 step
S11: judge whether first size group belongs to special type size;
S12: be then directly entered S03 step if not; If so, then transfer from data base and first size
The special type size that group matches;
S13: with special type size substitution for first size group.
By collecting the sufficient amount of human body stature picture with special type feature and corresponding size, according to mathematical statistics principle, SPSS statistical software is utilized to analyze the relation of human body measurements of the chest, waist and hips and each corresponding width and thickness, and then set up regression equation, generate individual features data and preserve to data base, applicable special type size can be deployed in data base.
Special type is only the place in buman body type or many places, and other size still conforms to customization requirement. Have the subscriber of special type to make creation more conform to, the normal type size that the present invention adopts image measurement combines finally to determine customization size with the special type size transferred. Specifically including, described S11 step carries out as follows: calculate the dimension scale between multiple physical characteristic points in first size group, it is judged that whether this dimension scale meets the scope of the dimension scale of normal type characteristic point. The special type transferred from data base in described S12 step is of a size of the special type size of special type characteristic point. Described S13 step is specially to correspond to the size of this special type characteristic point in the special type size substitution first size group of special type characteristic point. The special type size transferred only replaces the part in first size group, and the size belonging to normal type in first size group still retains, to improve the fit degree of creation and subscriber.
The above is only the better embodiment of the present invention, therefore all equivalences done according to the structure described in present patent application scope, feature and principle change or modify, and are all included within the scope of present patent application.
Claims (7)
1. contactless humanbody three-dimensional dimension measuring method, it is characterised in that the method comprises the following steps:
S01: obtain human body digital pictures;
S02: the pixel measurement of multiple physical characteristic points of human body in logarithmic code picture, and obtain the first size group of the physical characteristic of human body in digital pictures by calculating;
S03: calculate corresponding to the second set of dimensions of the actual physical characteristic of human body in digital pictures according to first size group;
Also including the pre-treatment step of digital pictures before described S02 step, this pre-treatment step includes multiple pictures are carried out proportional zoom, angle adjustment and upset, so that the ratio of multiple picture keeps consistent with angle;
Also comprised the steps: before described S03 step
S11: judge whether first size group belongs to special type size;
S12: be then directly entered S03 step if not; If so, from data base, then transfer the special type size matched with first size group;
S13: with special type size substitution for first size group;
By collecting the sufficient amount of human body stature picture with special type feature and corresponding size, according to mathematical statistics principle, SPSS statistical software is utilized to analyze the relation of human body measurements of the chest, waist and hips and each corresponding width and thickness, and then set up regression equation, generate individual features data and preserve to data base, applicable special type size can be deployed in data base;
Described first size group includes the lateral dimension and the longitudinal size that correspond respectively to multiple physical characteristic point, and the second set of dimensions includes the length dimension and the girth size that correspond respectively to multiple physical characteristic point.
2. contactless humanbody three-dimensional dimension measuring method according to claim 1, it is characterised in that the human body digital pictures of described acquisition includes at least one front projection figure and at least one side projection figure.
3. contactless humanbody three-dimensional dimension measuring method according to claim 1, it is characterized in that, described length dimension calculates acquisition in proportion according to lateral dimension and longitudinal size, and described girth size calculates acquisition with longitudinal size by degree of enclosing function according to lateral dimension.
4. contactless humanbody three-dimensional dimension measuring method according to claim 1, it is characterized in that, computational methods in described S03 step include: be combined calculating according to first size group with corrected parameter and obtain the second set of dimensions, and described corrected parameter is determined with height according to the body weight of human body.
5. contactless humanbody three-dimensional dimension measuring method according to claim 1, it is characterized in that, described S11 step carries out as follows: calculate the dimension scale between multiple physical characteristic points in first size group, it is judged that whether this dimension scale meets the scope of the dimension scale of normal type characteristic point.
6. contactless humanbody three-dimensional dimension measuring method according to claim 5, it is characterised in that the special type transferred from data base in described S12 step is of a size of the special type size of special type characteristic point.
7. contactless humanbody three-dimensional dimension measuring method according to claim 6, it is characterised in that described S13 step is specially to correspond to the size of this special type characteristic point in the special type size substitution first size group of special type characteristic point.
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Families Citing this family (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105595490B (en) * | 2015-08-28 | 2017-02-22 | 广州穗达服饰企业有限公司 | Method for measuring human body dimension for garment customization through pictures |
| CN105231567A (en) * | 2015-11-16 | 2016-01-13 | 陕西科技大学 | Non-contact-based human body three-dimensional size measuring device and measuring method thereof |
| CN107041585A (en) * | 2017-03-07 | 2017-08-15 | 上海优裁信息技术有限公司 | The measuring method of human dimension |
| CN107270829B (en) * | 2017-06-08 | 2020-06-19 | 南京华捷艾米软件科技有限公司 | Human body three-dimensional measurement method based on depth image |
| CN107927972A (en) * | 2017-12-28 | 2018-04-20 | 贵州大学 | A kind of novel non-contact ready-made clothes data acquisition facility and acquisition methods |
| US10832472B2 (en) | 2018-10-22 | 2020-11-10 | The Hong Kong Polytechnic University | Method and/or system for reconstructing from images a personalized 3D human body model and thereof |
| CN110569593A (en) * | 2019-09-05 | 2019-12-13 | 武汉纺织大学 | Method and system for measuring three-dimensional size of dressed human body, storage medium and electronic equipment |
| CN112700540A (en) * | 2021-01-12 | 2021-04-23 | 北京著手健康科技有限公司 | Three-dimensional human body model construction method, device, equipment and readable storage medium |
| CN113190585A (en) * | 2021-04-12 | 2021-07-30 | 郑州轻工业大学 | Big data acquisition and analysis system for clothing design |
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