CN106254855A - A kind of three-dimensional modeling method based on zoom range finding and system - Google Patents
A kind of three-dimensional modeling method based on zoom range finding and system Download PDFInfo
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Abstract
The invention discloses a kind of three-dimensional modeling method based on zoom range finding, relate to three-dimensional reconstruction field, comprise the steps: first, target object is divided into some subregions；Then, zoom gathers each sub regions image, according to focusing evaluation function value, obtains the positive burnt image of subregion, and gathers focal length or the object distance of subregion；Zoom evaluation function value is used for weighing subregion and the most accurately focuses, and positive burnt image is the image that subregion is accurately focused；Finally, according to the positive burnt image of each sub regions and the focal length of each sub regions or object distance, threedimensional model is set up.Meanwhile, the invention also discloses a kind of 3 d modeling system based on zoom range finding.The invention provides a kind of quick three-dimensional reconstructing method, it is to avoid binocular parallax method three-dimensional reconstruction regional area does not obtains accurate three-dimensional depth information.Meanwhile, the present invention has only to a taking lens, can obtain the threedimensional model of object a position.
Description
Technical field
The present invention relates to object dimensional rebuild field, particularly to a kind of based on zoom range finding three-dimensional modeling method and
System.
Background technology
Three-dimensional reconstruction has a wide range of applications field, and including cubing, stereo display, 3D prints, object model is set up
Deng.Existing three-dimensional reconstruction typically uses binocular time difference method, is shot object by two photographic head, by two shooting figures
The minute differences of picture, it is thus achieved that the steric information of object also carries out three-dimensionalreconstruction.But, in place of this method Shortcomings: three-dimensional
Some regional areas of object, in two images, occur the most simultaneously, when the local of object occurs in left image and does not goes out
Present right image, now the process of the depth information of this position is the most coarse.To sum up, prior art due to its technology former
The defect of reason itself, causes regional area can not obtain image depth information well, affects the three-dimensional reconstruction of object, needs to visit
A kind of object dimensional is asked to rebuild new method.
Summary of the invention
Because the drawbacks described above of prior art, the technical problem to be solved is to provide a kind of based on zoom survey
Away from three-dimensional modeling method, it is intended to solve prior art due to the defect of its know-why itself, i.e. cause the regional area can not
Obtain image depth information well, affect the technical problem of the three-dimensional reconstruction of object.
For achieving the above object, the invention provides a kind of three-dimensional modeling method based on zoom range finding, including:
Step S1, target object is divided into some subregions；
Step S2, zoom gather each described subregion image, according to focusing evaluation function value, obtain described subregion
Positive burnt image, and gather focal length or the object distance of described subregion；Described zoom evaluation function value is used for weighing described subregion
The most accurately focusing, described positive burnt image is the image that described subregion is accurately focused；
Step S3, according to the positive burnt image of subregion each described and the focal length of each described subregion or object distance, set up
Threedimensional model.
In this technical scheme, it is many sub regions by Target Segmentation, respectively every sub regions is focused, by figure
Judge whether focusing as processing, obtain positive burnt image and record focal length.Focal length according to each sub regions or object distance information acquisition
Depth information, and carry out three-dimensional reconstruction.The present solution provides a kind of quick three-dimensional reconstructing method, it is to avoid binocular parallax method
Three-dimensional reconstruction regional area does not obtains accurate three-dimensional depth information.
Furthermore, described step S2, specifically include:
Gather kth subregion JkI-th zoom image in the RGB of the M × N number of pixel corresponding with described subregion
Value；
Calculate described subregion JkThe focusing evaluation function value of i-th zoom image
Obtain described subregion JkFocusing evaluation function maximum in I opens described zoom imageDescribed focusing
Evaluation function maximumCorresponding zoom image is the positive burnt image of described subregion；Described
Described I is zoom image sum, and I is natural number；
Described
Wherein, described i, k, M, N are natural number, and described x meets 1≤x≤M, described y and meets 1≤y≤N, described Ri(x,
y)、Gi(x,y)、Bi(x y) is respectively the rgb value of pixel；DescribedFor subregion JkInterior R pixel average, describedFor sub-district
Territory JkInterior G pixel average, describedFor subregion JkInterior B pixel average.
In this technical scheme, pass throughObtain
The focusing evaluation function that RGB is trichroism, focusing evaluation precision is high.
Furthermore, described step S3, also include: according to described object distance or focal length, generate subregion image times magnification
Rate, revises the size of each described subregion.
In this technical scheme, based near big and far smaller principle, according to focal length, the size of each figure layer is modified,
I.e. the closer to the object of camera lens, enlargement ratio is the least；It is beneficial in that, improves precision and the accuracy of three-dimensional modeling.
Because the defect of prior art, second technical problem to be solved by this invention is to provide a kind of based on zoom
The 3 d modeling system of range finding, it is intended to solution prior art, due to the defect of its know-why itself, i.e. causes regional area not
Image depth information can be obtained well, affect the technical problem of the three-dimensional reconstruction of object.
For achieving the above object, the invention provides a kind of three-dimensional modeling method based on zoom range finding, including:
Sub-zone dividing module, for being divided into some subregions by target object；
Image capture module, gathers each described subregion image for zoom；
Zoom drive module, is used for driving described image capture module continuous vari-focus；
Shooting focal length acquisition module, for gathering focal length or the object distance of described subregion；
The just burnt picture recognition module of subregion, for obtaining the positive burnt figure of described subregion according to focusing evaluation function value
Picture；Wherein, described zoom evaluation function value is used for weighing described subregion and the most accurately focuses, and described positive burnt image is described son
The image accurately focused in region；
Three-dimensional reconstruction module, for according to the positive burnt image of subregion each described and the focal length of each described subregion or
Object distance, and set up threedimensional model.
In this technical scheme, it is many sub regions by Target Segmentation, respectively every sub regions is focused, by figure
Judge whether focusing as processing, obtain positive burnt image and record focal length.Focal length according to each sub regions or object distance information acquisition
Depth information, and carry out three-dimensional reconstruction.The present solution provides a kind of quick three-dimensional reconstructing method, it is to avoid binocular parallax method
Three-dimensional reconstruction regional area does not obtains accurate three-dimensional depth information.
Furthermore, the just burnt picture recognition module of described subregion, it is configured to:
Gather kth subregion JkI-th zoom image in the RGB of the M × N number of pixel corresponding with described subregion
Value；
Calculate described subregion JkThe focusing evaluation function value of i-th zoom image
Obtain described subregion JkFocusing evaluation function maximum in I opens described zoom imageDescribed focusing
Evaluation function maximumCorresponding zoom image is the positive burnt image of described subregion；Described
Described I is zoom image sum, and I is natural number；
Described
Wherein, described i, k, M, N are natural number, and described x meets 1≤x≤M, described y and meets 1≤y≤N, described Ri(x,
y)、Gi(x,y)、Bi(x y) is respectively the rgb value of pixel；DescribedFor subregion JkInterior R pixel average, describedFor sub-district
Territory JkInterior G pixel average, describedFor subregion JkInterior B pixel average.
In this technical scheme, pass throughObtain
The focusing evaluation function that RGB is trichroism, focusing evaluation precision is high.
Furthermore, described system also includes: the scaling module of subregion；Described subregion scaling module quilt
It is configured that according to described object distance or focal length, generates subregion image enlargement ratio, revise the size of each described subregion.
In this technical scheme, based near big and far smaller principle, according to focal length, the size of each figure layer is modified,
I.e. the closer to the object of camera lens, enlargement ratio is the least；It is beneficial in that, improves precision and the accuracy of three-dimensional modeling.
The invention has the beneficial effects as follows: the present invention by being divided into many sub regions by target object, respectively to every height
Focusing in region, judges whether focusing by image procossing, obtains positive burnt image and records focal length.According to each sub regions
Focal length or object distance information acquisition depth information, and carry out three-dimensional reconstruction.The present solution provides a kind of quick three-dimensional reconstructing side
Method, it is to avoid binocular parallax method three-dimensional reconstruction regional area does not obtains accurate three-dimensional depth information.Meanwhile, the present invention only needs
Want a taking lens, the threedimensional model of object can be obtained a position.
Accompanying drawing explanation
Fig. 1 is the schematic flow sheet of the embodiment of the invention；
Fig. 2 is the system structure schematic diagram of the embodiment of the invention.
Detailed description of the invention
The invention will be further described with embodiment below in conjunction with the accompanying drawings:
As it is shown in figure 1, one embodiment of the invention provides a kind of three-dimensional modeling method based on zoom range finding, including:
Step S1, target object is divided into some subregions；
Step S2, zoom gather each described subregion image, according to focusing evaluation function value, obtain described subregion
Positive burnt image, and gather focal length or the object distance of described subregion；Described zoom evaluation function value is used for weighing described subregion
No accurate focusing, described positive burnt image is the image that described subregion is accurately focused；
Step S3, according to the positive burnt image of subregion each described and the focal length of each described subregion or object distance, set up
Threedimensional model.
Below the present embodiment is described further.
In the present embodiment, first, target object is divided into some regions；In an optional example, it is to shoot
Subject image on equipment is divided into some regions.
Then, is focused respectively in each region, if focusing is successfully by image recognition definition or image
Identify and calculate whether focusing evaluation function value reaches what maximum judged.
When focusing successfully, it is exactly positive burnt image that now shooting obtains the image of subregion, it is clear that, need image is carried out
Segmentation, splits the image of subregion.Existing conventional camera lens carries out zoom, zoom motor generally by zoom motor
Usually use motor.By gathering the step number of zoom motor, focal length or the object distance of zoom can be obtained.Wherein, become
Burnt number of motor steps can be provided by manufacturer with focal length relation curve, it is also possible to is to be obtained by experiment, and this is not limited by the disclosure
Fixed.In like manner, zoom motor step number and object distance relation curve can also have manufacturer to provide, or experiment obtains.It is noted that
In a zoom lens, two groups of motors, respectively zoom motor and focus motor can be comprised, focal length can also be there is accordingly
With number of motor steps relation.
It is noted that except using zoom motor zoom, there is also other zoom mode, as real by regulating and controlling voltage
Existing liquid crystal lens, liquid lens zoom, disclosure example does not limit the zoom mode of camera lens.
Finally, by the positive burnt image of regional and corresponding focal length or object distance information, it is built into threedimensional model.
In an optional example, by focal length and the focal length-object distance relation curve of subregion, it is thus achieved that object subregion
Depth information, it is thus achieved that threedimensional model.
In another optional example, focal length and object distance are directly proportional, and build with focus information and present a definite proportion with the original
The threedimensional model of example.
Automatic focusing system is by computer programming, utilizes some algorithmic rules whether to judge image definition
Having reached accurate status, driving electric focusing mechanism is focused, and this algorithm is known as focusing state evaluation function, is called for short
For focusing evaluation function.In the present invention, it is possible to use focusing evaluation function, from multiple zoom images, it is thus achieved that correctly focus
Image.
Alternatively, focusing evaluation function can be shade of gray function, frequency-domain function, informatics function and statistics letter
Number, discloses the algorithm of relevant evaluation function, repeats no more here in prior art.
Preferably, in embodiment of the disclosure, the focusing evaluation function used is
Specifically, in the present embodiment, described step S2, specifically include:
Gather kth subregion JkI-th zoom image in the RGB of the M × N number of pixel corresponding with described subregion
Value；
Calculate described subregion JkThe focusing evaluation function value of i-th zoom image
Obtain described subregion JkFocusing evaluation function maximum in I opens described zoom imageDescribed focusing
Evaluation function maximumCorresponding zoom image is the positive burnt image of described subregion；Described
Described I is zoom image sum, and I is natural number；
Described
Wherein, described i, k, M, N are natural number, and described x meets 1≤x≤M, described y and meets 1≤y≤N, described Ri(x,
y)、Gi(x,y)、Bi(x y) is respectively the rgb value of pixel；DescribedFor subregion JkInterior R pixel average, describedFor sub-district
Territory JkInterior G pixel average, describedFor subregion JkInterior B pixel average.
In the present embodiment, by the depth information of focal length acquisition threedimensional model, and the size that threedimensional model is on X-Y plane
Data, then determined by each sub regions size dimension.It practice, according near big and far smaller rule, shoot object distance camera lens
The most remote, imaging size is the least.So, in the present embodiment, according to object distance or focal length, the size of each sub regions is carried out ratio
Amplify.
Alternatively, described step S3, also include: according to described object distance or focal length, generate subregion image enlargement ratio,
Revise the size of each described subregion.
In another optional embodiment, subregion image enlargement ratio β is directly proportional to focal distance f, and subregion image amplifies
Multiplying powerDescribed f0It is the focal length corresponding to 1 for enlargement ratio.In another optional embodiment, subregion image amplifies
Multiplying power is directly proportional to object distance.
As in figure 2 it is shown, in second embodiment of the invention, it is provided that a kind of 3 d modeling system based on zoom range finding, bag
Include:
Sub-zone dividing module, for being divided into some subregions by target object；
Image capture module, gathers each described subregion image for zoom；
Zoom drive module, is used for driving described image capture module continuous vari-focus；
Shooting focal length acquisition module, for gathering focal length or the object distance of described subregion；
The just burnt picture recognition module of subregion, for obtaining the positive burnt figure of described subregion according to focusing evaluation function value
Picture；Wherein, described zoom evaluation function value is used for weighing described subregion and the most accurately focuses, and described positive burnt image is described son
The image accurately focused in region；
Three-dimensional reconstruction module, for according to the positive burnt image of subregion each described and the focal length of each described subregion or
Object distance, and set up threedimensional model.
Alternatively, focusing evaluation function can be shade of gray function, frequency-domain function, informatics function and statistics letter
Number.
In the present embodiment, the just burnt picture recognition module of described subregion, it is configured to:
Gather kth subregion JkI-th zoom image in the RGB of the M × N number of pixel corresponding with described subregion
Value；
Calculate described subregion JkThe focusing evaluation function value of i-th zoom image
Obtain described subregion JkFocusing evaluation function maximum in I opens described zoom imageDescribed focusing
Evaluation function maximumCorresponding zoom image is the positive burnt image of described subregion；Described
Described I is zoom image sum, and I is natural number；
Described
Wherein, described i, k, M, N are natural number, and described x meets 1≤x≤M, described y and meets 1≤y≤N, described Ri(x,
y)、Gi(x,y)、Bi(x y) is respectively the rgb value of pixel；DescribedFor subregion JkInterior R pixel average, describedFor sub-district
Territory JkInterior G pixel average, describedFor subregion JkInterior B pixel average.
In the present embodiment, described system also includes: the scaling module of subregion；The scaling module of described subregion
It is configured to: according to described object distance or focal length, generates subregion image enlargement ratio, revise the size of each described subregion.
In the present embodiment, by the depth information of focal length acquisition threedimensional model, and the size that threedimensional model is on X-Y plane
Data, then determined by each sub regions size dimension.It practice, according near big and far smaller rule, shoot object distance camera lens
The most remote, imaging size is the least.So, in the present embodiment, according to object distance or focal length, the size of each sub regions is carried out ratio
Amplify.
Alternatively, described step S3, also include: according to described object distance or focal length, generate subregion image enlargement ratio, repair
The just size of each described subregion.
In another optional embodiment, subregion image enlargement ratio β is directly proportional to focal distance f, and subregion image amplifies
Multiplying powerDescribed f0It is the focal length corresponding to 1 for enlargement ratio.In another optional embodiment, subregion image amplifies
Multiplying power is directly proportional to object distance.
In the present embodiment, capture apparatus being directed at target object, image capture module obtains target object image, sub-district
Territory divides module and the impact of this target object is divided into many sub regions, chooses each sub regions successively and carries out zoom collection figure
Picture；Whenever having gathered a zoom image, gather and record the most simultaneously shooting Jiao of this image by shooting focal length acquisition module
Away from.Whenever having gathered whole zoom images of a sub regions, then the just burnt picture recognition module of subregion is chosen focusing and is evaluated letter
The highest zoom image of numerical value is as positive burnt image, and intercepts area image corresponding with subregion on image.Then, sub-district
The scaling module in territory, according to the focal length of positive burnt image, carries out scaling acquisition X-Y plane size to image.By focal length, thing
Away from or depth information and X-Y plane size target object is carried out three-dimensional reconstruction.
The preferred embodiment of the present invention described in detail above.Should be appreciated that those of ordinary skill in the art without
Need creative work just can make many modifications and variations according to the design of the present invention.Therefore, all technology in the art
Personnel are available by logical analysis, reasoning, or a limited experiment the most on the basis of existing technology
Technical scheme, all should be in the protection domain being defined in the patent claims.
Claims (6)
1. a three-dimensional modeling method based on zoom range finding, it is characterised in that described method includes:
Step S1, target object is divided into some subregions；
Step S2, zoom gather each described subregion image, according to focusing evaluation function value, obtain the positive burnt of described subregion
Image, and gather focal length or the object distance of described subregion；It is the most accurate that described zoom evaluation function value is used for weighing described subregion
Really focusing, described positive burnt image is the image that described subregion is accurately focused；
Step S3, according to the positive burnt image of subregion each described and the focal length of each described subregion or object distance, set up three-dimensional
Model.
A kind of three-dimensional modeling method based on zoom range finding, it is characterised in that described step S2,
Specifically include:
Gather kth subregion JkI-th zoom image in the rgb value of the M × N number of pixel corresponding with described subregion；
Calculate described subregion JkThe focusing evaluation function value of i-th zoom image
Obtain described subregion JkFocusing evaluation function maximum in I opens described zoom imageDescribed focusing is evaluated
Function maximaCorresponding zoom image is the positive burnt image of described subregion；DescribedDescribed
I is zoom image sum, and I is natural number；
Described
Wherein, described i, k, M, N are natural number, and described x meets 1≤x≤M, described y and meets 1≤y≤N, described Ri(x,y)、Gi
(x,y)、Bi(x y) is respectively the rgb value of pixel；DescribedFor subregion JkInterior R pixel average, describedFor subregion JkIn
G pixel average, describedFor subregion JkInterior B pixel average.
A kind of three-dimensional modeling method based on zoom range finding, it is characterised in that described step S3,
Also include: according to described object distance or focal length, generate subregion image enlargement ratio, revise the size of each described subregion.
4. a 3 d modeling system based on zoom range finding, it is characterised in that including:
Sub-zone dividing module, for being divided into some subregions by target object；
Image capture module, gathers each described subregion image for zoom；
Zoom drive module, is used for driving described image capture module continuous vari-focus；
Shooting focal length acquisition module, for gathering focal length or the object distance of described subregion；
The just burnt picture recognition module of subregion, for obtaining the positive burnt image of described subregion according to focusing evaluation function value；Its
In, described zoom evaluation function value is used for weighing described subregion and the most accurately focuses, and described positive burnt image is described subregion
The accurately image of focusing；
Three-dimensional reconstruction module, for according to the positive burnt image of subregion each described and the focal length of each described subregion or thing
Away from, and set up threedimensional model.
A kind of 3 d modeling system based on zoom range finding, it is characterised in that described subregion is just
Burnt picture recognition module, is configured to:
Gather kth subregion JkI-th zoom image in the rgb value of the M × N number of pixel corresponding with described subregion；
Calculate described subregion JkThe focusing evaluation function value of i-th zoom image
Obtain described subregion JkFocusing evaluation function maximum in I opens described zoom imageDescribed focusing is evaluated
Function maximaCorresponding zoom image is the positive burnt image of described subregion；DescribedDescribed
I is zoom image sum, and I is natural number；
Described
Wherein, described i, k, M, N are natural number, and described x meets 1≤x≤M, described y and meets 1≤y≤N, described Ri(x,y)、Gi
(x,y)、Bi(x y) is respectively the rgb value of pixel；DescribedFor subregion JkInterior R pixel average, describedFor subregion JkIn
G pixel average, describedFor subregion JkInterior B pixel average.
A kind of 3 d modeling system based on zoom range finding, it is characterised in that described system is also wrapped
Include: the scaling module of subregion；The scaling module of described subregion is configured to: according to described object distance or focal length, generates
Subregion image enlargement ratio, revises the size of each described subregion.
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| CN108550182A (en) * | 2018-03-15 | 2018-09-18 | 维沃移动通信有限公司 | A kind of three-dimensional modeling method and terminal |
| CN113838150A (en) * | 2021-08-30 | 2021-12-24 | 上海大学 | Moving target three-dimensional trajectory tracking method based on electro-hydraulic adjustable-focus lens |
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| CN104833342A (en) * | 2015-03-09 | 2015-08-12 | 深圳市亿思达科技集团有限公司 | Mobile terminal and method of establishing stereoscopic model through multipoint distance measurement |
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