CN107808415A - Sole edge track and gluing pose extracting method based on machine vision - Google Patents
Sole edge track and gluing pose extracting method based on machine vision Download PDFInfo
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- CN107808415A CN107808415A CN201711144047.5A CN201711144047A CN107808415A CN 107808415 A CN107808415 A CN 107808415A CN 201711144047 A CN201711144047 A CN 201711144047A CN 107808415 A CN107808415 A CN 107808415A
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- 238000000034 method Methods 0.000 title claims abstract description 29
- 238000004026 adhesive bonding Methods 0.000 title claims abstract description 27
- 239000007921 spray Substances 0.000 claims abstract description 19
- 238000010586 diagram Methods 0.000 claims abstract description 9
- 239000011248 coating agent Substances 0.000 claims abstract description 5
- 238000000576 coating method Methods 0.000 claims abstract description 5
- 238000013507 mapping Methods 0.000 claims description 3
- 238000004064 recycling Methods 0.000 claims description 2
- 239000000284 extract Substances 0.000 abstract description 2
- 238000001914 filtration Methods 0.000 abstract 1
- 239000003292 glue Substances 0.000 description 9
- 238000005507 spraying Methods 0.000 description 8
- 238000005516 engineering process Methods 0.000 description 4
- 238000003892 spreading Methods 0.000 description 3
- 238000004519 manufacturing process Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000000605 extraction Methods 0.000 description 1
- 238000005457 optimization Methods 0.000 description 1
Classifications
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T17/00—Three dimensional [3D] modelling, e.g. data description of 3D objects
- G06T17/10—Constructive solid geometry [CSG] using solid primitives, e.g. cylinders, cubes
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration
- G06T5/70—Denoising; Smoothing
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/50—Depth or shape recovery
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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
- G06T2207/10028—Range image; Depth image; 3D point clouds
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20024—Filtering details
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- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Geometry (AREA)
- Computer Graphics (AREA)
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- Computer Vision & Pattern Recognition (AREA)
- Manipulator (AREA)
- Application Of Or Painting With Fluid Materials (AREA)
- Image Processing (AREA)
Abstract
The invention discloses a kind of sole edge track based on machine vision and gluing pose extracting method, it is characterized in that obtain sole curved surface initial three-dimensional cloud data first with 3D laser sensor, denoising three dimensional point cloud is obtained by filtering process, sole curved surface scanning profile diagram is formed with denoising three dimensional point cloud;Then denoising three dimensional point cloud is subjected to dimension-reduction treatment, and is mapped as two-dimensional depth image;Data processing is carried out for two-dimensional depth image, so as to obtain sole edge geometric locus;Gluing spray gun track curve is obtained using offset algorithm and curve matching for the sole edge geometric locus again, the gluing pose for obtaining spray gun operating point is calculated according to the gluing spray gun track curve.The present invention realizes Intelligent Recognition sole profile and extracts sole edge curve, and operating position and the posture of robot coating are obtained by data processing, it is not necessary to manually participates in.
Description
Technical field
The present invention relates to a kind of sole glue spraying track extraction method applied to sole processing manufacturing industry, and in particular to is based on
The intelligent shoe bottom glue spraying method of machine vision technique.
Background technology
With application of the digital production technology in shoe industry, robot is progressively applied in shoes glue spraying process, mesh
Preceding glue spraying track is generally obtained using the method for teaching, realizes the automation of glue spraying process to a certain extent, but it
Adaptability it is not strong, be required for re-starting programming for different styles, the customization of different size shoes, programming process needs specially
Industry personage artificially participates in, and the cumbersome efficiency of process is low, and precision is not easy to control, and is substantially by demonstrator's range estimation to determine.
In recent years, also occur relying on 3 Dimension Image Technique to carry out the technology to spray piece modeling, but it is not mature enough, modeled
Journey relies on artificial participate in, it is necessary to be post-processed for threedimensional model, progress manual edit and optimization.The side of the shortcomings of doing so one
Face can not accomplish automation, it is necessary to which the threedimensional model editor of specialty recognizes participation, and error occurs unavoidably in another aspect human-edited,
Cause model not accurate enough, finally influence spraying effect.Sole edge profile acquiring technology is very crucial in intelligent shoe industry, will
Determine the precision of the actual glue spraying track of generation.
The content of the invention
It is an object of the invention to provide a kind of sole edge track based on machine vision and gluing pose extracting method,
Realize Intelligent Recognition sole profile and extract sole edge curve, and the operating position of robot coating is obtained by data processing
And posture.
The present invention adopts the following technical scheme that to solve technical problem:
The characteristics of sole edge track of the present invention based on machine vision and gluing pose extracting method is as follows
Carry out:
Step 1, using 3D laser sensor sole curved surface initial three-dimensional cloud data is obtained, it is former for the sole curved surface
Beginning three dimensional point cloud uses median filter process, filters out 3D laser sensor and gathers the glitch noise to be formed, obtains denoising three
Cloud data is tieed up, sole curved surface scanning profile diagram is formed with the denoising three dimensional point cloud;
Step 2, the denoising three dimensional point cloud is subjected to dimension-reduction treatment, and is mapped as two-dimensional depth image;For institute
State two-dimensional depth image and carry out data processing, so as to obtain sole edge geometric locus;
Step 3, offset algorithm and curve matching acquisition gluing spray gun track are used for the sole edge geometric locus
Curve, the gluing pose for obtaining spray gun operating point is calculated according to the gluing spray gun track curve.
The characteristics of sole edge track of the present invention based on machine vision and gluing pose extracting method, lies also in:The step
Mapping in rapid 2 refers to:Point P (x, y, z) in sole curved surface is sequentially stored in and denoising three-dimensional in the way of a line one arranges
Cloud data corresponds to the two-dimensional depth image that m × n is formed in the picture of ranks, and m is image line, and n is image column, at the data
Reason is to carry out as follows:
Step 2.1, for m × n two-dimensional depth image to m rows, all traveled through from left to right, until for the first time
Untill meeting formula (1), the point for meeting formula (1) for the first time is recorded in left data point set QleftIn;
Step 2.2, for m × n two-dimensional depth image to m rows, turn left and traveled through from the right side, until meeting formula for the first time
(1) untill, the point for meeting formula (1) for the first time is recorded in right data point set QrightIn;
f(i,j)[2]≠0 (1)
I is the line number of image, and j is the columns of image;
F (i, j) represents the i-th row, the triple channel pixel value of jth row;
F (i, j) [u] represents the i-th row, the u passage pixel values of jth row, 0≤u≤2;
Step 2.3, by left data point set QleftIn first point be sequentially mapped to data point set Q to a last pointi
In, and by right data point set QrightIn last o'clock be sequentially recorded in data point set Q to first pointiIn, then QiMiddle number
The point of strong point collection is the discrete point of sole edge geometric locus, therefore obtains the discrete curve Q of sole edge geometric locusi。
The characteristics of sole edge track of the present invention based on machine vision and gluing pose extracting method, lies also in:Described
It is the discrete curve Q of the sole edge geometric locus to be obtained in step 2 in step 3iAs sole edge contour curve, institute
Stating sole edge contour curve is made up of equally spaced collection point, for adopting for the sole edge contour curve equal intervals
Collection point takes out each 3 points group at adjacent o'clock successively using three as one group, order:It is p respectively to take three points in any 3 points groupk
Point, pk+1Point and pk+2Point, with the pkPoint, pk+1Point and pk+2Point determines a spatial triangle plane Hk, determine the space triangular
Shape plane HkNormal direction, and the geometric center point e of the spatial triangle planek;In three dimensions, with the geometry
Heart point ekCentered on, using r as radius, excessively described normal direction makes the space circle C perpendicular with sole curved surface scanning profile diagramk, it is described
Space circle CkOnly one point, which is intersected at, with sole curved surface scanning profile diagram is designated as intersection point Mk, it is bent for the sole edge profile
All intersection point M are found out in all equally spaced collection points on linekPoint as on bias curve, using least square method to all
Intersection point MkCarry out curve fitting, obtain actual spray gun track curve, the actual spray gun track curve meter for recycling fitting to obtain
Calculate the operating position for obtaining robot coating and posture.
Compared with prior art, the present invention has the beneficial effect that:
The inventive method need not be directed to different sizes, and the sole of different styles is programmed, and spraying path is according to footwear
The surface dynamic generation at bottom, even if having changed sole or having put orientation, without manual intervention;Can be with automatic identification sole
Size, style, you can extracted for different sole shape march thread paths, without specialty, modeling personage enters to different soles
Row three-dimensional modeling.
Brief description of the drawings
Fig. 1 is the inventive method schematic flow sheet;
Fig. 2 is that the inventive method implements system schematic;
Label in figure:1 delivery platform, 2 soles, 3 computers, 4 be 3D laser sensor, 5 Glue Spreading Robots.
Embodiment
Referring to Fig. 1 and Fig. 2, sole edge track and gluing pose extracting method in the present embodiment based on machine vision are
Carry out as follows:
Step 1, using 3D laser sensor obtain sole curved surface initial three-dimensional cloud data, for sole curved surface original three
Dimension cloud data uses median filter process, filters out 3D laser sensor and gathers the glitch noise to be formed, obtains denoising three-dimensional point
Cloud data, sole curved surface scanning profile diagram is formed with denoising three dimensional point cloud.
Step 2, denoising three dimensional point cloud is subjected to dimension-reduction treatment, and is mapped as two-dimensional depth image;For two-dimentional deep
Spend image and carry out data processing, so as to obtain sole edge geometric locus.
Mapping refers to:Point P (x, y, z) in sole curved surface is sequentially stored in and denoising three-dimensional in the way of a line one arranges
Cloud data corresponds to the two-dimensional depth image that m × n is formed in the picture of ranks, and m is image line, and n is image column, and data processing is
Carry out as follows:
Step 2.1, for m × n two-dimensional depth image to m rows, all traveled through from left to right, until for the first time
Untill meeting formula (1), the point for meeting formula (1) for the first time is recorded in left data point set QleftIn;
Step 2.2, for m × n two-dimensional depth image to m rows, all turn left from the right side being traveled through, until for the first time
Untill meeting formula (1), the point for meeting formula (1) for the first time is recorded in right data point set QrightIn;
f(i,j)[2]≠0 (1)
I is the line number of image, and j is the columns of image;
F (i, j) represents the i-th row, the triple channel pixel value of jth row;
F (i, j) [u] represents the i-th row, the u passage pixel values of jth row, 0≤u≤2;
Step 2.3, by left data point set QleftIn first point be sequentially mapped to data point set Q to a last pointi
In, and by right data point set QrightIn last o'clock be sequentially recorded in data point set Q to first pointiIn, then QiMiddle number
The point of strong point collection is the discrete point of sole edge geometric locus, therefore obtains the discrete curve Q of sole edge geometric locusi。
Step 3, offset algorithm and curve matching acquisition gluing spray gun track curve are used for sole edge geometric locus,
The gluing pose for obtaining spray gun operating point is calculated according to gluing spray gun track curve.
Specifically with the discrete curve Q of the sole edge geometric locus obtained in step 2iIt is bent as sole edge profile
Line, sole edge contour curve are made up of equally spaced collection point, the collection for sole edge contour curve equal intervals
O'clock each 3 points group is taken out successively as one group at adjacent o'clock, make using three:It is p respectively to take three points in any 3 points groupkPoint,
pk+1Point and pk+2Point, with pkPoint, pk+1Point and pk+2Point determines a spatial triangle plane Hk, determine spatial triangle plane Hk's
Normal direction, and the geometric center point e of spatial triangle planek;In three dimensions, with geometric center point ekCentered on, using r as
Radius, cross normal direction and make the space circle C perpendicular with sole curved surface scanning profile diagramk, space circle CkWith sole curved surface scanning profile
Figure intersects at only one point and is designated as intersection point Mk, found out for all equally spaced collection points on sole edge contour curve all
Intersection point MkPoint as on bias curve, using least square method to all intersection point MkCarry out curve fitting, obtain actual spray
Rifle geometric locus, recycle the curve of fitting to calculate the operating position for obtaining robot coating and posture, control Glue Spreading Robot
Gluing is carried out according to acquired operating position and posture.
Fig. 2 show the inventive method and implements system schematic, treats that the sole 2 of gluing is placed on delivery platform 1, with biography
Send platform 1 to move ahead, gathered by 3D laser sensor 4 obtain sole curved surface initial three-dimensional cloud data first, and data are transmitted
To computer 3, data processing is carried out by the inventive method in computer 3, finally obtains the gluing pose of spray gun operating point, by
Computer 3 controls Glue Spreading Robot 5 to carry out gluing according to acquired operating position and posture.
Claims (3)
1. a kind of sole edge track and gluing pose extracting method based on machine vision, it is characterized in that entering as follows
OK:
Step 1, using 3D laser sensor obtain sole curved surface initial three-dimensional cloud data, for the sole curved surface original three
Dimension cloud data uses median filter process, filters out 3D laser sensor and gathers the glitch noise to be formed, obtains denoising three-dimensional point
Cloud data, sole curved surface scanning profile diagram is formed with the denoising three dimensional point cloud;
Step 2, the denoising three dimensional point cloud is subjected to dimension-reduction treatment, and is mapped as two-dimensional depth image;For described two
Tie up depth image and carry out data processing, so as to obtain sole edge geometric locus;
Step 3, offset algorithm and curve matching acquisition gluing spray gun track curve are used for the sole edge geometric locus,
The gluing pose for obtaining spray gun operating point is calculated according to the gluing spray gun track curve.
2. sole edge track and gluing pose extracting method according to claim 1 based on machine vision, its feature
It is:Mapping in the step 2 refers to:By the point P (x, y, z) in sole curved surface by a line one arrange in the way of be sequentially stored in
Denoising three dimensional point cloud corresponds to the two-dimensional depth image that m × n is formed in the picture of ranks, and m is image line, and n is image column, institute
It is to carry out as follows to state data processing:
Step 2.1, for m × n two-dimensional depth image to m rows, all traveled through, met until first time from left to right
Untill formula (1), the point for meeting formula (1) for the first time is recorded in left data point set QleftIn;
Step 2.2, for m × n two-dimensional depth image to m rows, turn left and traveled through from the right side, until meeting formula (1) for the first time
Untill, the point for meeting formula (1) for the first time is recorded in right data point set QrightIn;
f(i,j)[2]≠0 (1)
I is the line number of image, and j is the columns of image;
F (i, j) represents the i-th row, the triple channel pixel value of jth row;
F (i, j) [u] represents the i-th row, the u passage pixel values of jth row, 0≤u≤2;
Step 2.3, by left data point set QleftIn first point be sequentially mapped to data point set Q to a last pointiIn, and
By right data point set QrightIn last o'clock be sequentially recorded in data point set Q to first pointiIn, then QiMiddle data point set
Point be sole edge geometric locus discrete point, therefore obtain sole edge geometric locus discrete curve Qi。
3. sole edge track and gluing pose extracting method according to claim 2 based on machine vision, its feature
It is:It is the discrete curve Q of the sole edge geometric locus to be obtained in step 2 in the step 3iAs sole edge wheel
Wide curve, the sole edge contour curve are made up of equally spaced collection point, in the sole edge contour curve
Each 3 points group is taken out at adjacent o'clock in equally spaced collection point successively using three as one group, makes:Take three in any 3 points group
Point is p respectivelykPoint, pk+1Point and pk+2Point, with the pkPoint, pk+1Point and pk+2Point determines a spatial triangle plane Hk, determine institute
State spatial triangle plane HkNormal direction, and the geometric center point e of the spatial triangle planek;In three dimensions, with
The geometric center point ekCentered on, using r as radius, excessively described normal direction makes the sky perpendicular with sole curved surface scanning profile diagram
Between circle Ck, the space circle CkOnly one point, which is intersected at, with sole curved surface scanning profile diagram is designated as intersection point Mk, for the sole
All intersection point M are found out in all equally spaced collection points on edge contour curvekPoint as on bias curve, utilizes a most young waiter in a wineshop or an inn
Multiplication is to all intersection point MkCarry out curve fitting, obtain actual spray gun track curve, the actual spray gun for recycling fitting to obtain
Geometric locus calculates the operating position for obtaining robot coating and posture.
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Cited By (22)
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CN108537808A (en) * | 2018-04-08 | 2018-09-14 | 易思维(天津)科技有限公司 | A kind of gluing online test method based on robot teaching point information |
CN109459759A (en) * | 2018-11-13 | 2019-03-12 | 中国科学院合肥物质科学研究院 | City Terrain three-dimensional rebuilding method based on quadrotor drone laser radar system |
CN109590140A (en) * | 2018-12-26 | 2019-04-09 | 易视智瞳科技(深圳)有限公司 | A kind of coating system and its method, automatic double surface gluer and computer readable storage medium |
CN109916308A (en) * | 2019-01-14 | 2019-06-21 | 佛山市南海区广工大数控装备协同创新研究院 | A kind of information collecting method and its system of sole |
CN110189376A (en) * | 2019-05-06 | 2019-08-30 | 达闼科技(北京)有限公司 | Object positioning method and positioning device for body |
CN110269323A (en) * | 2019-07-17 | 2019-09-24 | 东莞特雷斯智能科技有限公司 | A kind of coating system for sole track identification |
CN110717984A (en) * | 2019-09-10 | 2020-01-21 | 佛山缔乐视觉科技有限公司 | Automatic sole gluing method and system based on three-dimensional reconstruction and storage medium |
CN111035115A (en) * | 2020-03-13 | 2020-04-21 | 杭州蓝芯科技有限公司 | Sole gluing path planning method and device based on 3D vision |
CN111055286A (en) * | 2020-01-13 | 2020-04-24 | 广州启帆工业机器人有限公司 | Industrial robot track generation method, system, device and storage medium |
CN111227444A (en) * | 2020-01-17 | 2020-06-05 | 泉州装备制造研究所 | 3D sole glue spraying path planning method based on k nearest neighbor |
CN111820545A (en) * | 2020-06-22 | 2020-10-27 | 浙江理工大学 | Method for automatically generating sole glue spraying track by combining offline and online scanning |
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WO2022237166A1 (en) * | 2021-05-11 | 2022-11-17 | 梅卡曼德(北京)机器人科技有限公司 | Trajectory generation method and apparatus, electronic device, storage medium, and 3d camera |
CN115969144A (en) * | 2023-01-09 | 2023-04-18 | 东莞市智睿智能科技有限公司 | Sole glue spraying track generation method, system, equipment and storage medium |
CN117392163A (en) * | 2023-12-11 | 2024-01-12 | 泉州华中科技大学智能制造研究院 | 3D vision-based method for extracting track of collar sticker of shoe |
Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104463851A (en) * | 2014-11-19 | 2015-03-25 | 哈尔滨工业大学深圳研究生院 | Automatic shoe sole edge line tracking method based on robot |
CN106123773A (en) * | 2016-06-14 | 2016-11-16 | 中国科学院合肥物质科学研究院 | A kind of industrial robot sole gluing track positioner and localization method thereof |
CN107230246A (en) * | 2016-12-29 | 2017-10-03 | 上海大学 | A kind of 3-D scanning cloud data sliced sheet processing method of sole profile |
-
2017
- 2017-11-17 CN CN201711144047.5A patent/CN107808415B/en active Active
Patent Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104463851A (en) * | 2014-11-19 | 2015-03-25 | 哈尔滨工业大学深圳研究生院 | Automatic shoe sole edge line tracking method based on robot |
CN106123773A (en) * | 2016-06-14 | 2016-11-16 | 中国科学院合肥物质科学研究院 | A kind of industrial robot sole gluing track positioner and localization method thereof |
CN107230246A (en) * | 2016-12-29 | 2017-10-03 | 上海大学 | A kind of 3-D scanning cloud data sliced sheet processing method of sole profile |
Non-Patent Citations (1)
Title |
---|
汪安国: "基于结构光的鞋底信息提取与机器人喷胶轨迹", 《浙江理工大学硕士学位论文》 * |
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CN108537808A (en) * | 2018-04-08 | 2018-09-14 | 易思维(天津)科技有限公司 | A kind of gluing online test method based on robot teaching point information |
CN108537808B (en) * | 2018-04-08 | 2019-02-22 | 易思维(天津)科技有限公司 | A kind of gluing online test method based on robot teaching point information |
CN109459759A (en) * | 2018-11-13 | 2019-03-12 | 中国科学院合肥物质科学研究院 | City Terrain three-dimensional rebuilding method based on quadrotor drone laser radar system |
CN109459759B (en) * | 2018-11-13 | 2020-06-30 | 中国科学院合肥物质科学研究院 | Urban terrain three-dimensional reconstruction method based on quad-rotor unmanned aerial vehicle laser radar system |
CN109590140A (en) * | 2018-12-26 | 2019-04-09 | 易视智瞳科技(深圳)有限公司 | A kind of coating system and its method, automatic double surface gluer and computer readable storage medium |
CN109916308A (en) * | 2019-01-14 | 2019-06-21 | 佛山市南海区广工大数控装备协同创新研究院 | A kind of information collecting method and its system of sole |
CN110189376A (en) * | 2019-05-06 | 2019-08-30 | 达闼科技(北京)有限公司 | Object positioning method and positioning device for body |
CN110269323A (en) * | 2019-07-17 | 2019-09-24 | 东莞特雷斯智能科技有限公司 | A kind of coating system for sole track identification |
CN110717984A (en) * | 2019-09-10 | 2020-01-21 | 佛山缔乐视觉科技有限公司 | Automatic sole gluing method and system based on three-dimensional reconstruction and storage medium |
CN111055286A (en) * | 2020-01-13 | 2020-04-24 | 广州启帆工业机器人有限公司 | Industrial robot track generation method, system, device and storage medium |
CN111227444A (en) * | 2020-01-17 | 2020-06-05 | 泉州装备制造研究所 | 3D sole glue spraying path planning method based on k nearest neighbor |
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