CN109509229A - A kind of template reconstructing device and method based on two-dimensional linear transformation - Google Patents

A kind of template reconstructing device and method based on two-dimensional linear transformation Download PDF

Info

Publication number
CN109509229A
CN109509229A CN201811340149.9A CN201811340149A CN109509229A CN 109509229 A CN109509229 A CN 109509229A CN 201811340149 A CN201811340149 A CN 201811340149A CN 109509229 A CN109509229 A CN 109509229A
Authority
CN
China
Prior art keywords
template
dimensional linear
linear transformation
initial search
search region
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN201811340149.9A
Other languages
Chinese (zh)
Other versions
CN109509229B (en
Inventor
王亚飞
姚毅
安登奎
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Beijing Lingyunguang Technology Group Co ltd
Luster LightTech Co Ltd
Original Assignee
Luster LightTech Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Luster LightTech Co Ltd filed Critical Luster LightTech Co Ltd
Priority to CN201811340149.9A priority Critical patent/CN109509229B/en
Publication of CN109509229A publication Critical patent/CN109509229A/en
Application granted granted Critical
Publication of CN109509229B publication Critical patent/CN109509229B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/70Determining position or orientation of objects or cameras
    • G06T7/73Determining position or orientation of objects or cameras using feature-based methods
    • G06T7/75Determining position or orientation of objects or cameras using feature-based methods involving models
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10Complex mathematical operations
    • G06F17/16Matrix or vector computation, e.g. matrix-matrix or matrix-vector multiplication, matrix factorization

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Mathematical Physics (AREA)
  • Theoretical Computer Science (AREA)
  • Pure & Applied Mathematics (AREA)
  • Mathematical Optimization (AREA)
  • Mathematical Analysis (AREA)
  • Data Mining & Analysis (AREA)
  • Computational Mathematics (AREA)
  • Computing Systems (AREA)
  • Algebra (AREA)
  • Databases & Information Systems (AREA)
  • Software Systems (AREA)
  • General Engineering & Computer Science (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Image Analysis (AREA)

Abstract

This application discloses a kind of template reconstructing devices and method based on two-dimensional linear transformation to obtain the second template firstly, modification unit modifies to the first template of location algorithm;Training data is held and states the second template, exports two-dimensional linear transformation matrix corresponding with the second template;Secondly, notification unit, which is sent, rebuilds instruction to reconstruction unit when the first template of location algorithm is modified;Reconstruction unit rebuilds the template of the vision algorithm converted based on two-dimensional linear according to new two-dimensional linear transformation matrix.It is passively modified according to the template of modified location algorithm using the template of the application device and method, other vision algorithms based on two-dimensional linear transformation, to reduce the programming quantity and data processing amount of software in system, reduces system maintenance cost.Meanwhile for distribution and the vision software that can individually debug, avoids and only have modified location algorithm and other unmodified corresponding vision algorithms abnormal situation occur when causing use next time.

Description

A kind of template reconstructing device and method based on two-dimensional linear transformation
Technical field
This application involves visual pattern detection technique field more particularly to a kind of template reconstructions based on two-dimensional linear transformation Device and method.
Background technique
In recent years, visual pattern detection technique is fast-developing.Most of visual pattern detection system is related to positioning and calculates It method and looks for line, look for other vision algorithms such as round and reading code.Wherein, the main thought of location algorithm is carried out in realtime graphic Matching between one or more realtime graphics and training template, and export comprising all multi informations such as matching score, position, angles Positioning result.Two-dimensional linear transformation matrix in positioning result, which refers to, to be indicated to rotate angle between realtime graphic and training template And the matrix of translation size.
Two-dimensional linear transformation matrix is parameter particularly important in other vision algorithm modules input information.Such as: reading code, It looks for line, look for round scheduling algorithm, require the two-dimensional linear transformation for receiving location algorithm output, then be arranged on the basis of location algorithm The template respectively needed, ensures that in this way, searches matched region in realtime graphic to realize specific function.
In order to guarantee location algorithm output two-dimensional linear transformation matrix validity, that is, guarantee output two-dimensional linear become Matrix is changed, other algorithms can be made to find matched region in realtime graphic, when modifying the template of location algorithm, is looked for Line looks for the template of other vision algorithms such as circle, reading code also to modify, and could between template to be matched.Thus The treating capacity of system is increased, especially when the algorithm of the two-dimensional linear transformation matrix used increases, problem can become more Significantly.
Summary of the invention
This application provides a kind of template reconstructing devices and method based on two-dimensional linear transformation, to solve location algorithm mould When plate is modified, the too big problem of system data treating capacity.
In a first aspect, this application provides a kind of template reconstructing device based on two-dimensional linear transformation, which includes:
Unit is modified, modifies for the first template to location algorithm, obtains the second template;Training data is executed Second template exports two-dimensional linear transformation matrix corresponding with the second template;
Notification unit rebuilds instruction to reconstruction unit for sending when the first template of the location algorithm is modified;
Reconstruction unit, for being converted according to the two-dimensional linear corresponding with the second template when receiving reconstruction instruction Matrix rebuilds the template of the vision algorithm based on two-dimensional linear transformation.
With reference to first aspect, in a first possible implementation of that first aspect, the reconstruction unit includes:
Subelement is obtained, the initial search area of the current template for obtaining the vision algorithm based on two-dimensional linear transformation Domain;
Subelement is rebuild, for converting according to the initial search region and the two-dimensional linear corresponding with the second template Matrix rebuilds the template of the vision algorithm based on two-dimensional linear transformation.
With reference to first aspect or first aspect the first possible implementation, in second of first aspect possible realization In mode, the reconstruction subelement, the two-dimensional linear corresponding with the second template specifically for obtaining modification unit output is converted Matrix calculates the inverse matrix of the two-dimensional linear transformation matrix corresponding with the second template;
According to the inverse matrix and the initial search region, the vision algorithm based on two-dimensional linear transformation is rebuild Template.
With reference to first aspect, in first aspect in the third possible implementation, the acquiring unit includes:
Subelement is executed, for executing first template to training data, exports two-dimensional line corresponding with the first template Property transformation matrix;
Determine subelement, for obtaining the two-dimensional linear transformation matrix corresponding with the first template for executing subelement output, According to the corresponding two-dimensional linear transformation matrix of first template and it is described based on two-dimensional linear transformation vision algorithm it is current Template determines initial search region.
With reference to first aspect or second of first aspect possible implementation, in the 4th kind of possible realization of first aspect In mode, the reconstruction subelement is specifically used for, according to the inverse matrix and the initial search region according to matrix multiplication weight Build the template of the vision algorithm based on two-dimensional linear transformation.
Second aspect, the application provide a kind of template method for reconstructing based on two-dimensional linear transformation, this method comprises:
When the first template of location algorithm is modified, modified the second obtained template is obtained;
Second template is executed to training data, obtains two-dimensional linear transformation matrix corresponding with the second template;
According to the two-dimensional linear transformation matrix corresponding with the second template, the view based on two-dimensional linear transformation is rebuild Feel the template of algorithm.
In conjunction with second aspect, in second aspect in the first possible implementation, two-dimensional line is based on described in the reconstruction Property transformation vision algorithm template, comprising:
Obtain the initial search region of the current template of the vision algorithm converted based on two-dimensional linear;
According to the initial search region and the two-dimensional linear transformation matrix corresponding with the second template, the base is rebuild In the template of the vision algorithm of two-dimensional linear transformation.
In conjunction with second of second aspect possible implementation, in second aspect in the third possible implementation, institute It states according to initial search region and the two-dimensional linear transformation matrix corresponding with the second template, rebuilds described based on two-dimensional linear The template of the vision algorithm of transformation, comprising:
Calculate the inverse matrix of the two-dimensional linear transformation matrix corresponding with the second template;
According to the inverse matrix and the initial search region, the vision algorithm based on two-dimensional linear transformation is rebuild Template.
In conjunction with second aspect, in the 4th kind of possible implementation of second aspect, described obtain is become based on two-dimensional linear The initial search region of the current template of the vision algorithm changed, comprising:
First template is executed to training data, exports two-dimensional linear transformation matrix corresponding with the first template;
It is calculated according to the corresponding two-dimensional linear transformation matrix of first template and the vision based on two-dimensional linear transformation The current template of method determines initial search region.
The third possible implementation in conjunction with second aspect, in the 4th kind of possible implementation of second aspect, root The vision algorithm based on two-dimensional linear transformation is rebuild according to matrix multiplication according to the inverse matrix and the initial search region Template.
From the above technical scheme, it is provided by the embodiments of the present application based on two-dimensional linear transformation template reconstructing device and Method obtains the second template firstly, modification unit modifies to the first template of location algorithm;Institute is executed to training data The second template is stated, two-dimensional linear transformation matrix corresponding with the second template is exported;Secondly, notification unit is when the location algorithm When first template is modified, sends and rebuild instruction to reconstruction unit;Then, when reconstruction unit receives reconstruction instruction, according to The two-dimensional linear transformation matrix corresponding with the second template rebuilds the mould of the vision algorithm based on two-dimensional linear transformation Plate.
Using the application device and method, when the template of location algorithm is modified, based on its of two-dimensional linear transformation The template of his vision algorithm is passively modified according to the template of modified location algorithm, to reduce software in system Programming quantity and data processing amount reduce system maintenance cost.Meanwhile for distribution and the vision software that can individually debug, keep away Exempt from only to have modified location algorithm and other unmodified corresponding vision algorithms lead to abnormal situation occur when use next time.
Detailed description of the invention
In order to illustrate more clearly of the technical solution of the application, letter will be made to attached drawing needed in the embodiment below Singly introduce, it should be apparent that, for those of ordinary skills, without any creative labor, It is also possible to obtain other drawings based on these drawings.
Fig. 1 is a kind of the application template reconstructing device based on two-dimensional linear transformation shown according to an exemplary embodiment Block diagram;
Fig. 2 is that the application another template based on two-dimensional linear transformation shown according to an exemplary embodiment rebuilds dress Set block diagram;
Fig. 3 is a kind of the application template method for reconstructing based on two-dimensional linear transformation shown according to an exemplary embodiment Flow chart.
Specific embodiment
Technical solution in order to enable those skilled in the art to better understand the present invention, below in conjunction with of the invention real The attached drawing in example is applied, technical scheme in the embodiment of the invention is clearly and completely described, it is clear that described implementation Example is only a part of the embodiment of the present invention, instead of all the embodiments.Based on the embodiments of the present invention, this field is common Technical staff's every other embodiment obtained without making creative work, all should belong to protection of the present invention Range.
The embodiment of the present application provides a kind of template reconstructing device based on two-dimensional linear transformation, built-in or be attached to vision figure As detection system, refering to fig. 1, which includes:
Unit U100 is modified, modifies for the first template to location algorithm, obtains the second template;To training data Second template is executed, two-dimensional linear transformation matrix corresponding with the second template is exported;
Notification unit U200 rebuilds instruction to reconstruction for sending when the first template of the location algorithm is modified Unit;
Reconstruction unit U300, for when receive rebuild instruction when, according to the two-dimensional linear corresponding with the second template Transformation matrix rebuilds the template of the vision algorithm based on two-dimensional linear transformation.
In the present embodiment, modification unit U100 according to demand to the first template of location algorithm, that is, current template, into Row modification, modified template are the second template.Meanwhile modifying unit U100 and second template is executed to training data, it is defeated Two-dimensional linear transformation matrix corresponding with the second template out.For example, modification unit U100 repairs the first template Ms of location algorithm It is changed to the second template Ms1;Algorithm of once location is executed again, exports two-dimensional linear transformation matrix C2 corresponding with the second template Ms1.
Notification unit U200 is generated when the first template of location algorithm is modified and is rebuild instruction, and be sent to reconstruction Unit U300, so that when the template of location algorithm is modified, by reconstruction unit automatically to being converted based on two-dimensional linear Other vision algorithms make modification, so that modified second template with location algorithm matches.As reconstruction unit U300 When receiving reconstruction instruction, according to two-dimensional linear transformation matrix corresponding with the second template, rebuilds the two-dimensional linear that is based on and become The template of the vision algorithm changed.
For example, reconstruction unit U300 receives the reconstruction instruction of notification unit U200 transmission, it is described based on two not executing Dimensional linear transformation vision algorithm in the case where, the template of these algorithms (such as looking for round algorithm) is rebuild automatically, make its with Second template Ms1 matching.
Referring to Fig.2, in some preferred embodiments of the application, reconstruction unit U300 includes:
Subelement U310 is obtained, the initial search of the current template for obtaining the vision algorithm based on two-dimensional linear transformation Region;
Subelement U320 is rebuild, for according to the initial search region and the two-dimensional linear corresponding with the second template Transformation matrix rebuilds the template of the vision algorithm based on two-dimensional linear transformation.
In the present embodiment, modification is made to the template of location algorithm in modification unit U100, and pass through notification unit U200 Notify that acquisition subelement U310 obtains the current template of the vision algorithm converted based on two-dimensional linear to after reconstruction unit U300 Initial search region.Subelement U320 is rebuild according to the initial search region of acquisition and described corresponding with the second template two Dimensional linear transformation matrix rebuilds the template of the vision algorithm based on two-dimensional linear transformation.
For example, obtaining the two-dimensional linear transformation matrix C2 corresponding with the second template Ms1 of modification unit output;It is single to rebuild son First U330 can determine the new template Mf1 for looking for round algorithm according to two-dimensional linear transformation matrix C2 and initial search region D.
Wherein, initial search region D is not it is to be understood that location algorithm and based on other views of two-dimensional linear transformation When feeling that the template of algorithm makes modification, the corresponding initial search region of the current template of vision algorithm.For example, the of location algorithm One template is Ms, executes the first template Ms, exports two-dimensional linear transformation matrix C, looks for round algorithm to obtain based on two-dimensional linear transformation Take two-dimensional linear transformation matrix C, and according to two-dimensional linear transformation matrix C and current template Mf determine region of search D, D be with The corresponding initial search region of the current template for looking for round algorithm based on two-dimensional linear transformation.
Based on this, in some preferred embodiments of the application, obtaining subelement U310 includes:
Subelement U311 is executed, for executing first template, output corresponding with the first template two to training data Dimensional linear transformation matrix;
Subelement U312 is determined, for obtaining two-dimensional linear corresponding with the first template transformation square for executing subelement output Battle array is worked as according to first template corresponding two-dimensional linear transformation matrix and the vision algorithm based on two-dimensional linear transformation Front template determines initial search region.
The first template Ms is executed to training data for example, executing subelement U311, is exported and the first template Ms corresponding two Dimensional linear transformation matrix C;Determine that subelement U312 obtains two-dimensional linear transformation matrix C, according to two-dimensional linear transformation matrix C and base In the current template Mf of the vision algorithm of two-dimensional linear transformation, initial search region D, D=Mf × C are determined.
In the application further preferred embodiment, subelement U320 is rebuild especially by following step, rebuilds institute State the template of the vision algorithm based on two-dimensional linear transformation:
Firstly, obtaining two-dimensional linear transformation matrix corresponding with the second template, described corresponding with the second template two are calculated The inverse matrix of dimensional linear transformation matrix;
For example, obtaining two-dimensional linear transformation matrix C2 corresponding with the second template Ms1, and calculating matrix C2's is inverse;
Secondly, rebuilding the vision based on two-dimensional linear transformation according to the inverse matrix and the initial search region The template of algorithm.
Preferably, subelement U320 is rebuild to be rebuild with the initial search region according to matrix multiplication according to the inverse matrix The template of the vision algorithm based on two-dimensional linear transformation.For example, looking for round algorithm based on two-dimensional linear transformation after rebuilding Template Mf1=initial search region D × two-dimensional linear transformation matrix C2 it is inverse.
As can be seen from the above embodiments, the template reconstructing device provided by the present application based on two-dimensional linear transformation, firstly, modification Unit modifies to the first template of location algorithm, obtains the second template;Second template, output are executed to training data Two-dimensional linear transformation matrix corresponding with the second template;Secondly, notification unit is modified when the first template of the location algorithm When, it sends and rebuilds instruction to reconstruction unit;Then, when reconstruction unit receives reconstruction instruction, according to described and the second template Corresponding two-dimensional linear transformation matrix rebuilds the template of the vision algorithm based on two-dimensional linear transformation.
Using the application device and method, when the template of location algorithm is modified, based on its of two-dimensional linear transformation The template of his vision algorithm is passively modified according to the template of modified location algorithm, to reduce software in system Programming quantity and data processing amount reduce system maintenance cost.Meanwhile for distribution and the vision software that can individually debug, keep away Exempt from only to have modified location algorithm and other unmodified corresponding vision algorithms lead to abnormal situation occur when use next time.
According to a kind of above-mentioned template reconstructing device based on two-dimensional linear transformation, the present embodiment provides one kind to be based on two-dimensional line Property transformation template method for reconstructing, refering to Fig. 3, this method comprises:
Step S110 obtains modified the second obtained template when the first template of location algorithm is modified;
Step S120 executes second template to training data, obtains two-dimensional linear transformation corresponding with the second template Matrix;
Step S130 is rebuild described based on two-dimensional line according to the two-dimensional linear transformation matrix corresponding with the second template Property transformation vision algorithm template.
Preferably, the step S130, according to the two-dimensional linear transformation matrix corresponding with the second template, described in reconstruction The template of vision algorithm based on two-dimensional linear transformation, comprising:
Firstly, obtaining the initial search region of the current template of the vision algorithm converted based on two-dimensional linear;
Secondly, being rebuild according to the initial search region and the two-dimensional linear transformation matrix corresponding with the second template The template of the vision algorithm based on two-dimensional linear transformation.
Preferably, described according to the initial search region and corresponding with the second template two-dimensional linear converts square Battle array rebuilds the template of the vision algorithm based on two-dimensional linear transformation, comprising:
Firstly, calculating the inverse matrix of the two-dimensional linear transformation matrix corresponding with the second template;
Secondly, rebuilding the vision based on two-dimensional linear transformation according to the inverse matrix and the initial search region The template of algorithm.
Preferably, it is rebuild according to the inverse matrix and the initial search region according to matrix multiplication described based on two-dimensional line Property transformation vision algorithm template.
Preferably, the initial search region of the current template for obtaining the vision algorithm converted based on two-dimensional linear, packet It includes:
Firstly, executing first template to training data, two-dimensional linear transformation matrix corresponding with the first template is exported;
Secondly, according to the corresponding two-dimensional linear transformation matrix of first template and the view based on two-dimensional linear transformation The current template for feeling algorithm, determines initial search region.
As can be seen from the above embodiments, the template reconstructing device and side provided by the embodiments of the present application based on two-dimensional linear transformation Method obtains the second template firstly, modification unit modifies to the first template of location algorithm;To described in training data execution Second template exports two-dimensional linear transformation matrix corresponding with the second template;Secondly, notification unit is when the of the location algorithm When one template is modified, sends and rebuild instruction to reconstruction unit;Then, when reconstruction unit receives reconstruction instruction, according to institute Two-dimensional linear transformation matrix corresponding with the second template is stated, the template of the vision algorithm based on two-dimensional linear transformation is rebuild.
Using the application device and method, when the template of location algorithm is modified, based on its of two-dimensional linear transformation The template of his vision algorithm is passively modified according to the template of modified location algorithm, to reduce software in system Programming quantity and data processing amount reduce system maintenance cost.Meanwhile for distribution and the vision software that can individually debug, keep away Exempt from only to have modified location algorithm and other unmodified corresponding vision algorithms lead to abnormal situation occur when use next time.
In the specific implementation, the present invention also provides a kind of computer storage mediums, wherein the computer storage medium can store There is program, which may include step some or all of in each embodiment of method for reconstructing provided by the invention when executing.Institute The storage medium stated can for magnetic disk, CD, read-only memory (English: read-only memory, referred to as: ROM) or with Machine storage memory (English: random access memory, referred to as: RAM) etc..
It is required that those skilled in the art can be understood that the technology in the embodiment of the present invention can add by software The mode of general hardware platform realize.Based on this understanding, the technical solution in the embodiment of the present invention substantially or Say that the part that contributes to existing technology can be embodied in the form of software products, which can deposit Storage is in storage medium, such as ROM/RAM, magnetic disk, CD, including some instructions are used so that computer equipment (can be with It is personal computer, server or the network equipment etc.) execute certain part institutes of each embodiment of the present invention or embodiment The method stated.
Same and similar part may refer to each other between each embodiment in this specification.Implement especially for device For example, since it is substantially similar to the method embodiment, so being described relatively simple, related place is referring in embodiment of the method Explanation.
Invention described above embodiment is not intended to limit the scope of the present invention..

Claims (10)

1. a kind of template reconstructing device based on two-dimensional linear transformation, which is characterized in that described device includes:
Unit is modified, modifies for the first template to location algorithm, obtains the second template;To described in training data execution Second template exports two-dimensional linear transformation matrix corresponding with the second template;
Notification unit rebuilds instruction to reconstruction unit for sending when the first template of the location algorithm is modified;
Reconstruction unit, for when receive rebuild instruction when, according to the two-dimensional linear transformation matrix corresponding with the second template, Rebuild the template of the vision algorithm based on two-dimensional linear transformation.
2. the apparatus according to claim 1, which is characterized in that the reconstruction unit includes:
Subelement is obtained, the initial search region of the current template for obtaining the vision algorithm based on two-dimensional linear transformation;
Subelement is rebuild, for converting square according to the initial search region and the two-dimensional linear corresponding with the second template Battle array rebuilds the template of the vision algorithm based on two-dimensional linear transformation.
3. the apparatus of claim 2, which is characterized in that the reconstruction subelement is specifically used for obtaining modification unit The two-dimensional linear transformation matrix corresponding with the second template of output calculates the two-dimensional linear corresponding with the second template and converts square The inverse matrix of battle array;
According to the inverse matrix and the initial search region, the mould of the vision algorithm based on two-dimensional linear transformation is rebuild Plate.
4. the apparatus according to claim 1, which is characterized in that the acquisition subelement includes:
Subelement is executed, for executing first template to training data, two-dimensional linear corresponding with the first template is exported and becomes Change matrix;
Determine subelement, for obtaining the two-dimensional linear transformation matrix corresponding with the first template for executing subelement output, according to The current template of the corresponding two-dimensional linear transformation matrix of first template and the vision algorithm based on two-dimensional linear transformation, Determine initial search region.
5. device according to claim 3, which is characterized in that the reconstruction subelement is specifically used for, according to the inverse square Battle array rebuilds the template of the vision algorithm based on two-dimensional linear transformation with the initial search region according to matrix multiplication.
6. a kind of template method for reconstructing based on two-dimensional linear transformation, which is characterized in that the described method includes:
When the first template of location algorithm is modified, modified the second obtained template is obtained;
Second template is executed to training data, obtains two-dimensional linear transformation matrix corresponding with the second template;
According to the two-dimensional linear transformation matrix corresponding with the second template, rebuilds the vision based on two-dimensional linear transformation and calculate The template of method.
7. according to the method described in claim 6, it is characterized in that, the vision algorithm that is converted based on two-dimensional linear rebuild Template, comprising:
Obtain the initial search region of the current template of the vision algorithm converted based on two-dimensional linear;
According to the initial search region and the two-dimensional linear transformation matrix corresponding with the second template, rebuild described based on two The template of the vision algorithm of dimensional linear transformation.
8. the method according to the description of claim 7 is characterized in that described according to initial search region and described with the second template Corresponding two-dimensional linear transformation matrix rebuilds the template of the vision algorithm based on two-dimensional linear transformation, comprising:
Calculate the inverse matrix of the two-dimensional linear transformation matrix corresponding with the second template;
According to the inverse matrix and the initial search region, the mould of the vision algorithm based on two-dimensional linear transformation is rebuild Plate.
9. according to the method described in claim 6, it is characterized in that, the vision algorithm that is converted based on two-dimensional linear of obtaining The initial search region of current template, comprising:
First template is executed to training data, exports two-dimensional linear transformation matrix corresponding with the first template;
According to first template corresponding two-dimensional linear transformation matrix and the vision algorithm based on two-dimensional linear transformation Current template determines initial search region.
10. according to the method described in claim 8, it is characterized in that, being pressed according to the inverse matrix and the initial search region The template of the vision algorithm based on two-dimensional linear transformation is rebuild according to matrix multiplication.
CN201811340149.9A 2018-11-12 2018-11-12 Template reconstruction device and method based on two-dimensional linear transformation Active CN109509229B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201811340149.9A CN109509229B (en) 2018-11-12 2018-11-12 Template reconstruction device and method based on two-dimensional linear transformation

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201811340149.9A CN109509229B (en) 2018-11-12 2018-11-12 Template reconstruction device and method based on two-dimensional linear transformation

Publications (2)

Publication Number Publication Date
CN109509229A true CN109509229A (en) 2019-03-22
CN109509229B CN109509229B (en) 2020-12-15

Family

ID=65748206

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201811340149.9A Active CN109509229B (en) 2018-11-12 2018-11-12 Template reconstruction device and method based on two-dimensional linear transformation

Country Status (1)

Country Link
CN (1) CN109509229B (en)

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20050169512A1 (en) * 2001-01-22 2005-08-04 Ming Fang Model-based localization and measurement of miniature surface mount components
CN102063729A (en) * 2010-12-30 2011-05-18 哈尔滨工业大学 Two-dimensional sparsity based compressed sensing image reconstruction method
CN104063884A (en) * 2014-07-11 2014-09-24 昆明联诚科技股份有限公司 Image target recognition method based on combination of motion prediction and multi-template matching
CN104732227A (en) * 2015-03-23 2015-06-24 中山大学 Rapid license-plate positioning method based on definition and luminance evaluation
CN107818301A (en) * 2017-10-16 2018-03-20 阿里巴巴集团控股有限公司 Update the method, apparatus and electronic equipment of biometric templates
CN108629312A (en) * 2018-05-04 2018-10-09 兰州理工大学 A kind of dynamic hand tracking method and system

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20050169512A1 (en) * 2001-01-22 2005-08-04 Ming Fang Model-based localization and measurement of miniature surface mount components
CN102063729A (en) * 2010-12-30 2011-05-18 哈尔滨工业大学 Two-dimensional sparsity based compressed sensing image reconstruction method
CN104063884A (en) * 2014-07-11 2014-09-24 昆明联诚科技股份有限公司 Image target recognition method based on combination of motion prediction and multi-template matching
CN104732227A (en) * 2015-03-23 2015-06-24 中山大学 Rapid license-plate positioning method based on definition and luminance evaluation
CN107818301A (en) * 2017-10-16 2018-03-20 阿里巴巴集团控股有限公司 Update the method, apparatus and electronic equipment of biometric templates
CN108629312A (en) * 2018-05-04 2018-10-09 兰州理工大学 A kind of dynamic hand tracking method and system

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
吴晓军等: "基于边缘几何特征的高性能模板匹配算法", 《仪器仪表学报》 *
周丽莎: "基于模板匹配的视觉定位技术研究与应用", 《中国优秀硕士学位论文全文数据库信息科技辑》 *

Also Published As

Publication number Publication date
CN109509229B (en) 2020-12-15

Similar Documents

Publication Publication Date Title
CN109636919B (en) Holographic technology-based virtual exhibition hall construction method, system and storage medium
CN103077070B (en) Cloud computing management system and management method for cloud computing systems
CN108416843A (en) Three-dimensional scene construction method, device, equipment and computer readable storage medium
CN109242034A (en) Decision tree generation method and device
CN112232914A (en) Four-stage virtual fitting method and device based on 2D image
CN111310232A (en) Data desensitization method and device, electronic equipment and storage medium
WO2020169122A3 (en) Blockchain-based import custom clearance data processing
CN110276243A (en) Score mapping method, face comparison method, device, equipment and storage medium
CN116012507A (en) Rendering data processing method and device, electronic equipment and storage medium
CN113409333B (en) Three-dimensional image cutting method and electronic equipment
CN114462265A (en) Simulation method for shear fracture of deformable object and material simulation method
CN110083504A (en) The running state monitoring method and device of distributed task scheduling
CN109509229A (en) A kind of template reconstructing device and method based on two-dimensional linear transformation
CN117422851A (en) Virtual clothes changing method and device and electronic equipment
Dyken et al. Semi‐Uniform Adaptive Patch Tessellation
CN107463450A (en) The data processing method and device of container
CN115482557B (en) Human body image generation method, system, equipment and storage medium
CN104463190A (en) Age estimation method and equipment
CN109189773B (en) Data restoration method and device
CN112966251B (en) Verification code verification method and device, electronic equipment and storage medium
CN107845137A (en) A kind of tunnel cable data method and device
Yu et al. Genus refinement of a manifold surface reconstructed by sculpting the 3d-Delaunay triangulation of Structure-from-Motion points
CN111475307B (en) Physical settlement processing method and device
US20230419561A1 (en) Three-dimensional model rendering method and apparatus, device, storage medium, and program product
Wang et al. Adaptive matrix completion for fast visibility computations with many lights rendering

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant
CP01 Change in the name or title of a patent holder
CP01 Change in the name or title of a patent holder

Address after: 100094 701, 7 floor, 7 building, 13 Cui Hunan Ring Road, Haidian District, Beijing.

Patentee after: Lingyunguang Technology Co.,Ltd.

Address before: 100094 701, 7 floor, 7 building, 13 Cui Hunan Ring Road, Haidian District, Beijing.

Patentee before: Beijing lingyunguang Technology Group Co.,Ltd.

Address after: 100094 701, 7 floor, 7 building, 13 Cui Hunan Ring Road, Haidian District, Beijing.

Patentee after: Beijing lingyunguang Technology Group Co.,Ltd.

Address before: 100094 701, 7 floor, 7 building, 13 Cui Hunan Ring Road, Haidian District, Beijing.

Patentee before: LUSTER LIGHTTECH GROUP Co.,Ltd.