CN105303578A - Shoe matching method based on foot shape and shoe internal space data and system thereof - Google Patents
Shoe matching method based on foot shape and shoe internal space data and system thereof Download PDFInfo
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- CN105303578A CN105303578A CN201510764210.2A CN201510764210A CN105303578A CN 105303578 A CN105303578 A CN 105303578A CN 201510764210 A CN201510764210 A CN 201510764210A CN 105303578 A CN105303578 A CN 105303578A
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- 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
- G06T2207/10—Image acquisition modality
- G06T2207/10016—Video; Image sequence
- G06T2207/10021—Stereoscopic video; Stereoscopic image sequence
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- 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
- G06T2207/30244—Camera pose
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- Length Measuring Devices By Optical Means (AREA)
- Footwear And Its Accessory, Manufacturing Method And Apparatuses (AREA)
Abstract
The invention provides a shoe matching method based on foot shape and shoe internal space data and a system thereof. The shoe matching method comprises the steps that a foot part is measured by a foot shape scanning device and a foot shape three-dimensional scanning data point cloud (S) is obtained; a shoe internal cavity is measured by a foot internal cavity scanning device and a shoe internal cavity three-dimensional scanning data point cloud (W) is obtained; the foot shape three-dimensional scanning data point cloud (S) and the shoe internal cavity three-dimensional scanning data point cloud (W) are inputted to a network server; and the foot shape three-dimensional scanning data point cloud (S) and the shoe internal cavity three-dimensional scanning data point cloud (W) are compared by the network server, and a matching result is fed back. According to the shoe matching method based on the foot shape and shoe internal space data and the system thereof, matching can be performed according to the measured foot shape three-dimensional scanning data point cloud (S) and the shoe internal cavity three-dimensional scanning data point cloud (W), and operation is easy so that scanning efficiency can be enhanced and cost can be saved.
Description
Technical field
The present invention relates to a kind of method and system based on pin shape and shoes inner space Data Matching shoes.
Background technology
The mode buying shoes is roughly divided into two kinds, and one is line under type, and another kind is line upper type.But adopt any mode all existing defects, specifically: line under type main manifestations goes to select style to solid shop/brick and mortar store for client and tries shoes on, usually can take a long time in the process of trying on, very inconvenient; Line upper type main manifestations is that the size that client measures according to oneself after on-line shop selects style goes to select yardage, but the shoes yardage standard of each manufacturer production is different, the yardage often causing the yardage that marks and client to measure is inconsistent, shoes are tried on after client receives, also need if improper to enter the program of returning goods or exchanging goods, make troubles to client.Meanwhile, no matter be on line or buy under line, the yardage size of shoes is only decided by shoe length, have ignored other important data such as wide in footwear, and this just causes client only just cannot can be applicable to the shoes of oneself foot type by selecting properly according to shoes yardage.
Publication number is that the Chinese patent literature of 104778599A discloses and a kind ofly realizes based on 3-D scanning comparison the system and method that footwear boots try on online, three-dimensional profile scanning, three-dimensional picture comparison technology and Internet technology are combined, and the filling material scan method proposed for this kind of miniature inner space of footwear boots, establish an online footwear boots system for trying be made up of three-dimensional foot end of scan, three-dimensional footwear boots end of scan and network comparison server, the difficult problem cannot tried on when helping people to solve online shopping.But still there are some defects in this patent.A kind of filling material scan method is disclosed for footwear boots inner space in the method, specifically: after using special filler to fill the inner space of footwear boots, 3-D scanning is carried out to the shape that filling material forms, if the filling material used can be scanned by after complete taking-up again, then three-dimensional footwear boots end of scan can directly use three-dimensional foot end of scan to replace.But adopt during filling material scan method and need first to scan filling material with filling material filling footwear boots again, step is complicated, reduces scan efficiency and increases cost.
Summary of the invention
In order to overcome the problems referred to above, the invention provides a kind of method and system based on pin shape and shoes inner space Data Matching shoes, can mate with shoes lumen 3 d scan data point cloud (W) according to pin shape 3 d scan data point cloud (S) measured, and simple to operate, scan efficiency and cost-saving can be improved.
Technical scheme of the present invention is: provide a kind of method based on pin shape and shoes inner space Data Matching shoes, foot type scanister is used to measure foot and obtain pin shape 3 d scan data point cloud (S), shoes lumen scanister is used to measure shoes lumen and obtain shoes lumen 3 d scan data point cloud (W), described pin shape 3 d scan data point cloud (S) and described shoes lumen 3 d scan data point cloud (W) are inputed to the webserver, described pin shape 3 d scan data point cloud (S) and described shoes lumen 3 d scan data point cloud (W) contrast by the described webserver, and feed back matching result.
Preferably, described shoes lumen scanister is provided with target, for marker motion track; Be provided with the probe be connected with target, for stretching into shoes lumen and moving around footwear inwall; Be provided with first camera, for catching the movement locus of described target; Described probe is stretched into shoes lumen and around the motion of footwear inwall, is followed the tracks of the movement locus of described target, obtain shoes lumen initial three-dimensional data by described first camera.
Preferably, described shoes lumen scanister is also provided with the second computer for controlling, described shoes lumen initial three-dimensional data is transferred to described second computer for controlling and carries out data processing, obtains described shoes lumen 3 d scan data point cloud (W) after treatment.
Preferably, described foot type scanister is provided with scanning platform and second camera, described second camera to be positioned at above scanning platform and to rotate around scanning platform or scanning platform self rotates, every angle n(0 degree≤n≤30 degree) gather one group of foot's outside drawing picture, finally obtain some groups of foot's outside drawing pictures.
Preferably, described foot type scanister is also provided with the first computer for controlling, and described foot outside drawing picture transfers to described first computer for controlling and carries out data processing, obtains described pin shape 3 d scan data point cloud (S) after treatment.
Preferably, in described pin shape 3 d scan data point cloud (S) each point (
), wherein
,
for pin shape 3 d scan data point cloud (S) mid point (
) sum, find in described shoes inner space three-dimensional point cloud (W) range points (
) nearest point (
)
,
for the sum of shoes inner space three-dimensional point cloud (W) mid point, after search completes, calculate kth (
, M is maximum iteration time) Distance geometry of pin shape 3 d scan data point cloud (S) described in secondary iterative process and all match points in described shoes inner space three-dimensional point cloud (W) (
), wherein,
, and utilize matching double points calculate rotation matrix between described pin shape 3 d scan data point cloud (S) and described shoes inner space three-dimensional point cloud (W) coordinate system (
) and translation matrix (
), by institute in pin shape 3 d scan data point cloud (S) a little (
) by rotation matrix (
) and translation matrix (
)) transform to new coordinate system under; When
or when iterating to maximum iteration time M time, wherein M selects among 50-150, finishing iteration, completes coupling; Otherwise, enter kth+1 iteration.
A kind of system based on pin shape and shoes inner space Data Matching shoes is provided, comprise foot type scanister, shoes lumen scanister and the webserver, pin shape 3 d scan data point cloud (S) obtained by the measurement of described foot type scanister inputs to the webserver with shoes lumen 3 d scan data point cloud (W) obtained by the measurement of described shoes lumen scanister, described pin shape 3 d scan data point cloud (S) and described shoes lumen 3 d scan data point cloud (W) contrast by the described webserver, and feed back matching result.
Preferably, described shoes lumen scanister is provided with target, and described target surface is provided with gauge point, described target linking probe, and described probe front is provided with for stretching into shoes lumen and the probe moved around footwear inwall; Be provided with the first camera of the movement locus for catching described gauge point; Be provided with the second computer for controlling for the treatment of the shoes lumen initial three-dimensional data obtained by described first camera.
Preferably, described foot type scanister is provided with scanning platform and the second camera for rotating around scanning platform, and described second camera is positioned at above scanning platform, and every angle n(0 degree≤n≤30 degree) gather one group of foot's outside drawing picture; Be provided with for the treatment of the second computer for controlling by described foot outside drawing picture.
The beneficial effect of the embodiment of the present invention comprises, and can mate according to pin shape 3 d scan data point cloud (S) measured with shoes lumen 3 d scan data point cloud (W), and simple to operate, can improve scan efficiency and cost-saving.
Accompanying drawing explanation
Fig. 1 is method flow schematic diagram of the present invention.
Fig. 2 is systematic square frame schematic diagram of the present invention.
Fig. 3 is the structural representation of shoes lumen scanister in the present invention.
Fig. 4 is the structural representation of foot type scanister in the present invention.
Embodiment
Below in conjunction with accompanying drawing, the specific embodiment of the present invention is described in further detail.
Refer to Fig. 1, what Fig. 1 disclosed is a kind of method based on pin shape and shoes inner space Data Matching shoes, comprising:
Step 101, pin shape 3 d scan data point cloud (S) and shoes lumen 3 d scan data point cloud (W) are inputed to the webserver, described pin shape 3 d scan data point cloud (S) and described shoes lumen 3 d scan data point cloud (W) contrast by the described webserver.
Data matching method is as follows:
For in described pin shape 3 d scan data point cloud (S) each point (
), wherein
,
for pin shape 3 d scan data point cloud (S) mid point (
) sum, find in described shoes inner space three-dimensional point cloud (W) range points (
) nearest point (
)
,
for the sum of shoes inner space three-dimensional point cloud (W) mid point, after search completes, calculate kth (
, M is maximum iteration time) Distance geometry of pin shape 3 d scan data point cloud (S) described in secondary iterative process and all match points in described shoes inner space three-dimensional point cloud (W) (
), wherein,
, and utilize matching double points calculate rotation matrix between described pin shape 3 d scan data point cloud (S) and described shoes inner space three-dimensional point cloud (W) coordinate system (
) and translation matrix (
), by institute in pin shape 3 d scan data point cloud (S) a little (
) by rotation matrix (
) and translation matrix (
) transform to new coordinate system under; When
or when iterating to maximum iteration time M time, wherein M selects among 50-150, finishing iteration, completes coupling; Otherwise, enter kth+1 iteration.
Step 104, described webserver feedback matching result.If the Data Matching between described pin shape 3 d scan data point cloud (S) and described shoes inner space three-dimensional point cloud (W), then return and correctly mate message; If data are not mated, then return erroneous matching message, not matching area can be marked simultaneously, feed back to user side by three-dimensional animation form.
Before step 101, carry out step 102, use shoes lumen scanister measure shoes lumen and obtain shoes lumen 3 d scan data point cloud (W).Described shoes lumen scanister is provided with target, for marker motion track; Be provided with the probe be connected with target, for stretching into shoes lumen and moving around footwear inwall; Be provided with first camera, for catching the movement locus of described target; Described probe is stretched into shoes lumen and around the motion of footwear inwall, is followed the tracks of the movement locus of described target, obtain shoes lumen initial three-dimensional data by described first camera.The quantity of described first camera can be more than 2 or 2.Contrast prior art, adopts the benefit of the method to be to save the step comprising and prepare filling material, fill shoes lumen and taking-up shoes lumen with filling material, improves scan efficiency, and save the expense buying filling material.
Described shoes lumen scanister is also provided with the second computer for controlling, described shoes lumen initial three-dimensional data is transferred to described second computer for controlling and carries out data processing, obtains described shoes lumen 3 d scan data point cloud (W) after treatment.
Before step 101, carry out step 103, use foot type scanister measure foot and obtain pin shape 3 d scan data point cloud (S).Described foot type scanister is provided with scanning platform and second camera, described second camera to be positioned at above scanning platform and to rotate around scanning platform or scanning platform self rotates, every angle n(0 degree≤n≤30 degree) gather one group of foot's outside drawing picture, finally obtain some groups of foot's outside drawing pictures.Described second camera can adopt depth camera or general camera.According to depth camera, 1 can be established; According to general camera, then can arrange more than 1 or 1, if arrange 1 general camera, need to arrange identification point in foot type, then enclose shooting image around foot type one and realize three-dimensional reconstruction, minimum two images can three-dimensional reconstruction, but quantity is more, adjacent image Duplication is higher, and reconstruction effect is better.More than 1 general camera then can accelerate shooting process, but adds position relationship calibration steps between camera simultaneously.
Described foot type scanister is also provided with the first computer for controlling, and described foot outside drawing picture transfers to described first computer for controlling and carries out data processing, obtains described pin shape 3 d scan data point cloud (S) after treatment.
Refer to Fig. 2, Fig. 2 discloses a kind of system based on pin shape and shoes inner space Data Matching shoes, comprises foot type scanister 2, shoes lumen scanister 1 and the webserver 3.
Described shoes lumen scanister 1(is as Fig. 3) be provided with target 11, described target 11 surface is provided with gauge point 15, the function of described gauge point 15 marks as virtual movement locus, the described first camera 13 of diverse location is allowed to capture, the quantity of described gauge point 15 arranges more than 3 or 3, as long as and all gauge points 15 be not arranged on same straight line.The quantity of described first camera 13 can be more than 2 or 2.Described first camera 13 can directly be installed on ceiling, also can be supported by shelf 16.For to place in the same way between described first camera 13 camera, not exclusively parallel have visual field overlapping.Described target 11 linking probe 12, is provided with bulb 18 in the middle part of described probe 12, makes described probe rotatable, is convenient to adjust angle.Described probe 12 front end is provided with for stretching into shoes lumen and the probe 17 moved around footwear inwall, and described probe 7 is made with high hardness material, normally sapphire.Described probe 17 drives described target 11 to move when footwear inwall moves, described gauge point 15 on described target 11 moves thereupon, described first camera 13 catches the movement locus image of described gauge point 15, forms shoes lumen initial three-dimensional data, and transfers to described second computer for controlling 14.Described second computer for controlling 14, according to obtained described shoes lumen initial three-dimensional data, calculates shoes lumen 3 d scan data point cloud (W); Also described initial trace data can be exported for spatial line segment parameter, for obtaining specific line segment parameter on footwear, for inverse-direction-exploitation.
Described foot type scanister (as Fig. 4) is provided with transparent scanning platform 21 and second camera 22, described second camera 22 to be positioned at above scanning platform 21 and to rotate around scanning platform 21 or scanning platform 21 self rotates, every angle n(0 degree≤n≤30 degree) gather one group of foot's outside drawing picture, finally obtain some groups of foot's outside drawing pictures.Described second camera 22 can adopt depth camera or general camera.According to depth camera, 1 can be established; According to general camera, then can arrange more than 1 or 1, if arrange 1 general camera, need to arrange identification point in foot type, then enclose shooting image around foot type one and realize three-dimensional reconstruction, minimum two images can three-dimensional reconstruction, but quantity is more, adjacent image Duplication is higher, and reconstruction effect is better.More than 1 general camera then can accelerate shooting process, but adds position relationship calibration steps between camera simultaneously.
Second camera 22 described in the present embodiment refers to depth camera.Rotating acquisition data realize by following method: one, described scanning platform 21 is rotatable scanning platforms, and time described scanning platform 21 rotates, described second camera 22 is every angle n(0 degree≤n≤30 degree) gather one group of foot's outside drawing picture; Two, described second camera 22 can along arrange orbital rotational motion, every angle n(0 degree≤n≤30 degree) gather one group of foot's outside drawing picture.Be provided with the first computer for controlling for the treatment of the described foot outside drawing picture collected, obtain described pin shape 3 d scan data point cloud (S) after treatment.
Measured pin shape 3 d scan data point cloud (S) that obtains by described foot type scanister 2 and measured by described shoes lumen scanister 1 shoes lumen 3 d scan data point cloud (W) obtained and input to the webserver 3, described pin shape 3 d scan data point cloud (S) and described shoes lumen 3 d scan data point cloud (W) contrast by the described webserver 3, and feed back matching result.
By the described webserver, described pin shape 3 d scan data point cloud (S) and described shoes lumen 3 d scan data point cloud (W) are contrasted, can mate with shoes lumen 3 d scan data point cloud (W) according to pin shape 3 d scan data point cloud (S) measured, and adopt shoes lumen scanister, this device is simple to operate, can improve scan efficiency and cost-saving.
Obviously, those skilled in that art can carry out various change and modification to the present invention and not depart from the spirit and scope of the present invention.Like this, if these amendments of the present invention and modification belong within the scope of the claims in the present invention and equivalent technologies thereof, then the present invention is also intended to comprise these change and modification.
Claims (9)
1. the method based on pin shape and shoes inner space Data Matching shoes, it is characterized in that, foot type scanister is used to measure foot and obtain pin shape 3 d scan data point cloud (S), shoes lumen scanister is used to measure shoes lumen and obtain shoes lumen 3 d scan data point cloud (W), described pin shape 3 d scan data point cloud (S) and described shoes lumen 3 d scan data point cloud (W) are inputed to the webserver, described pin shape 3 d scan data point cloud (S) and described shoes lumen 3 d scan data point cloud (W) contrast by the described webserver, and feed back matching result.
2. the method based on pin shape and shoes inner space Data Matching shoes according to claim 1, it is characterized in that, described shoes lumen scanister is provided with target, for marker motion track; Be provided with the probe be connected with target, for stretching into shoes lumen and moving around footwear inwall; Be provided with first camera, for catching the movement locus of described target; Described probe is stretched into shoes lumen and around the motion of footwear inwall, is followed the tracks of the movement locus of described target, obtain shoes lumen initial three-dimensional data by described first camera.
3. the method based on pin shape and shoes inner space Data Matching shoes according to claim 2, it is characterized in that, described shoes lumen scanister is also provided with the second computer for controlling, described shoes lumen initial three-dimensional data are transferred to described second computer for controlling and carries out data processing, obtain described shoes lumen 3 d scan data point cloud (W) after treatment.
4. the method based on pin shape and shoes inner space Data Matching shoes according to claim 1, it is characterized in that, described foot type scanister is provided with scanning platform and second camera, described second camera to be positioned at above scanning platform and to rotate around scanning platform or scanning platform self rotates, every angle n(0 degree≤n≤30 degree) gather one group of foot's outside drawing picture, finally obtain some groups of foot's outside drawing pictures.
5. the method based on pin shape and shoes inner space Data Matching shoes according to claim 4, it is characterized in that, described foot type scanister is also provided with the first computer for controlling, described foot outside drawing picture transfers to described first computer for controlling and carries out data processing, obtains described pin shape 3 d scan data point cloud (S) after treatment.
6. the method based on pin shape and shoes inner space Data Matching shoes according to claim 1, is characterized in that, in described pin shape 3 d scan data point cloud (S) each point (
), wherein
,
for pin shape 3 d scan data point cloud (S) mid point (
) sum, find in described shoes inner space three-dimensional point cloud (W) range points (
) nearest point (
)
,
for the sum of shoes inner space three-dimensional point cloud (W) mid point, after search completes, calculate kth (
, M is maximum iteration time) Distance geometry of pin shape 3 d scan data point cloud (S) described in secondary iterative process and all match points in described shoes inner space three-dimensional point cloud (W) (
), wherein,
, and utilize matching double points calculate rotation matrix between described pin shape 3 d scan data point cloud (S) and described shoes inner space three-dimensional point cloud (W) coordinate system (
) and translation matrix (
), by institute in pin shape 3 d scan data point cloud (S) a little (
) by rotation matrix (
) and translation matrix (
)) transform to new coordinate system under; When
or when iterating to maximum iteration time M time, wherein M selects among 50-150, finishing iteration, completes coupling; Otherwise, enter kth+1 iteration.
7. the system based on pin shape and shoes inner space Data Matching shoes, it is characterized in that, comprise foot type scanister, shoes lumen scanister and the webserver, pin shape 3 d scan data point cloud (S) obtained by the measurement of described foot type scanister inputs to the webserver with shoes lumen 3 d scan data point cloud (W) obtained by the measurement of described shoes lumen scanister, described pin shape 3 d scan data point cloud (S) and described shoes lumen 3 d scan data point cloud (W) contrast by the described webserver, and feed back matching result.
8. the system based on pin shape and shoes inner space Data Matching shoes according to claim 7, it is characterized in that, described shoes lumen scanister is provided with target, described target surface is provided with gauge point, described target linking probe, described probe front is provided with for stretching into shoes lumen and the probe moved around footwear inwall; Be provided with the first camera of the movement locus for catching described gauge point; Be provided with the second computer for controlling for the treatment of the shoes lumen initial three-dimensional data obtained by described first camera.
9. the system based on pin shape and shoes inner space Data Matching shoes according to claim 7, it is characterized in that, described foot type scanister is provided with scanning platform and the second camera for rotating around scanning platform, described second camera is positioned at above scanning platform, and every angle n(0 degree≤n≤30 degree) gather one group of foot's outside drawing picture; Be provided with for the treatment of the second computer for controlling by described foot outside drawing picture.
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510764210.2A CN105303578B (en) | 2015-11-11 | 2015-11-11 | Method and system based on foot shape and shoes inner space Data Matching shoes |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510764210.2A CN105303578B (en) | 2015-11-11 | 2015-11-11 | Method and system based on foot shape and shoes inner space Data Matching shoes |
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| CN105303578A true CN105303578A (en) | 2016-02-03 |
| CN105303578B CN105303578B (en) | 2018-08-07 |
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| CN201510764210.2A Expired - Fee Related CN105303578B (en) | 2015-11-11 | 2015-11-11 | Method and system based on foot shape and shoes inner space Data Matching shoes |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN107305699A (en) * | 2016-04-18 | 2017-10-31 | 北京体云科技有限公司 | Based on two-dimensional image information foot three-dimensional rebuilding method and its foot-footwear matching system |
| WO2018000344A1 (en) * | 2016-06-30 | 2018-01-04 | 宋英楠 | Smart pushing method and device for shoes |
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|---|---|---|---|---|
| US20100238271A1 (en) * | 2007-07-11 | 2010-09-23 | Rene Pfeiffer | Sensing Apparatus and Method for Detecting a Three-Dimensional Physical Shape of a Body |
| US20100296726A1 (en) * | 2007-11-19 | 2010-11-25 | Dirk Rutschmann | High-resolution optical detection of the three-dimensional shape of bodies |
| CN104484648A (en) * | 2014-11-27 | 2015-04-01 | 浙江工业大学 | Variable-viewing angle obstacle detection method for robot based on outline recognition |
| CN104778599A (en) * | 2014-10-29 | 2015-07-15 | 刘莎 | Three-dimensional scanning and comparison-based online shoe and boot trying-on system and method |
-
2015
- 2015-11-11 CN CN201510764210.2A patent/CN105303578B/en not_active Expired - Fee Related
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20100238271A1 (en) * | 2007-07-11 | 2010-09-23 | Rene Pfeiffer | Sensing Apparatus and Method for Detecting a Three-Dimensional Physical Shape of a Body |
| US20100296726A1 (en) * | 2007-11-19 | 2010-11-25 | Dirk Rutschmann | High-resolution optical detection of the three-dimensional shape of bodies |
| CN104778599A (en) * | 2014-10-29 | 2015-07-15 | 刘莎 | Three-dimensional scanning and comparison-based online shoe and boot trying-on system and method |
| CN104484648A (en) * | 2014-11-27 | 2015-04-01 | 浙江工业大学 | Variable-viewing angle obstacle detection method for robot based on outline recognition |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107305699A (en) * | 2016-04-18 | 2017-10-31 | 北京体云科技有限公司 | Based on two-dimensional image information foot three-dimensional rebuilding method and its foot-footwear matching system |
| WO2018000344A1 (en) * | 2016-06-30 | 2018-01-04 | 宋英楠 | Smart pushing method and device for shoes |
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| CN105303578B (en) | 2018-08-07 |
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