CN108514418A - Data analysing method based on model generating means - Google Patents
Data analysing method based on model generating means Download PDFInfo
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- CN108514418A CN108514418A CN201810295475.6A CN201810295475A CN108514418A CN 108514418 A CN108514418 A CN 108514418A CN 201810295475 A CN201810295475 A CN 201810295475A CN 108514418 A CN108514418 A CN 108514418A
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- human body
- size
- data analysing
- analysing method
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
- A61B5/107—Measuring physical dimensions, e.g. size of the entire body or parts thereof
- A61B5/1079—Measuring physical dimensions, e.g. size of the entire body or parts thereof using optical or photographic means
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/103—Detecting, measuring or recording devices for testing the shape, pattern, colour, size or movement of the body or parts thereof, for diagnostic purposes
- A61B5/107—Measuring physical dimensions, e.g. size of the entire body or parts thereof
- A61B5/1072—Measuring physical dimensions, e.g. size of the entire body or parts thereof measuring distances on the body, e.g. measuring length, height or thickness
-
- G—PHYSICS
- G03—PHOTOGRAPHY; CINEMATOGRAPHY; ANALOGOUS TECHNIQUES USING WAVES OTHER THAN OPTICAL WAVES; ELECTROGRAPHY; HOLOGRAPHY
- G03B—APPARATUS OR ARRANGEMENTS FOR TAKING PHOTOGRAPHS OR FOR PROJECTING OR VIEWING THEM; APPARATUS OR ARRANGEMENTS EMPLOYING ANALOGOUS TECHNIQUES USING WAVES OTHER THAN OPTICAL WAVES; ACCESSORIES THEREFOR
- G03B35/00—Stereoscopic photography
- G03B35/02—Stereoscopic photography by sequential recording
Abstract
The invention discloses a kind of data analysing method based on model generating means, the data analysing method includes：The 3D whole body models of at least two users are obtained by the model generating means, include several human bodies on every 3D whole body models；Obtain the size of human body on every 3D whole body models；A function is obtained according to all sizes of whole 3D whole bodies models, dependent variable in the function is the size at a target body position, independent variable in the function is the size of remaining at least one human body, remaining described human body is the human body in addition to the target body position.The data analysing method based on model generating means of the present invention can analyze the size at each position of human body, and can obtain the data information in the region that is blocked on 3D whole body models, provide more facilities to the user.
Description
Technical field
The present invention relates to a kind of data analysing methods based on model generating means.
Background technology
3D video cameras, what is utilized is the video camera of 3D camera lenses manufacture, usually there are two tools more than pick-up lens, spacing and people
Eye spacing is close, can shoot the similar seen different images for being directed to Same Scene of human eye.Holographic 3D has 5 camera lens of disk
More than, by dot grating image Huo Ling shape raster holographics imaging can the comprehensive same image of viewing, can such as come to its border personally.
The 3D revolutions so far of First 3D video cameras are unfolded all around Hollywood weight pound sheet and important competitive sports.With
The appearance of 3D video cameras, this technology distance domestic consumer close step again.After the release of this video camera, we are from now on
3D camera lenses can be used to capture each unforgettable moment of life, such as the first step that child steps, celebration of graduating from university etc..
Usually there are two the above camera lenses for 3D video cameras.The function of 3D video cameras itself, can be by two just as human brain
Lens image is merged, and becomes a 3D rendering.These images can play on 3D TVs, and spectators wear so-called master
Dynamic formula shutter glasses may be viewed by, and can also pass through bore hole 3D display equipment direct viewing.3D shutter glasses can be with per second 60
Secondary speed enables the eyeglass fast crosstalk of left and right glasses switch.This means that each eye is it is seen that Same Scene is slightly shown not
Same picture, so brain can be thus to be the single photo presented with 3D in appreciation for it.
Existing 3D camera functions are single, can not provide more usage experiences to the user.
Invention content
The technical problem to be solved by the present invention is in order to overcome in the prior art 3D filming images terminal function it is single, can not
The defect for providing more usage experiences to the user provides a kind of size that can analyze each position of human body, and can obtain
Be blocked the data information in region on 3D whole body models, provides more data easily based on model generating means point to the user
Analysis method.
The present invention is to solve above-mentioned technical problem by following technical proposals：
A kind of data analysing method based on model generating means, feature are that the data analysing method includes：
The 3D whole body models of at least two users are obtained by the model generating means, are wrapped on every 3D whole body models
Include several human bodies；
Obtain the size of human body on every 3D whole body models；
A function is obtained according to all sizes of whole 3D whole bodies models, the dependent variable in the function is a mesh
The size of human body is marked, the independent variable in the function is the size of remaining at least one human body, remaining described human body
Position is the human body in addition to the target body position.
Preferably, for the 3D whole body models of a target user, the data analysing method includes：
Measure the size of remaining human body on the 3D whole bodies model；
The size at target body position is obtained according to the size of remaining human body and the function.
Preferably, remaining described human body is neck, the data analysing method includes：
The 3D human body submodels of preset ratio are intercepted from the top down of 3D whole body models；
By a cross section to the both ends successively transversal 3D human bodies submodel among 3D human body submodels；
The cross-sectional view for obtaining cross-sectional area minimum, obtains collar size described in the Zhou Changwei of cross-sectional view.
Preferably, the target body position is waist,
The data analysing method includes：
Pass through the transversal 3D whole bodies model in a cross section；
Acquisition includes the cross-sectional view of three cross sections；
The size of waist described in the Zhou Changwei of object cross section is obtained, the object cross section is transversal in a width cross-sectional view
The maximum cross section of area in face.
Preferably, the size for obtaining human body on every 3D whole body models includes：
The size on the human body between target point is obtained by the correspondence of pixel number and length.
Preferably, the model generating means include a pallet, a support portion, a tumbler, a supporting rod and extremely
Few 3 3D video cameras,
The pallet is installed on by the tumbler on the support portion, and the pallet is existed by the tumbler
It is rotated around the axis horizontal of the tumbler on the support portion；
The supporting rod is perpendicular to plane where the pallet；
At least three 3D video cameras are longitudinally put on the supporting rod side by side；
The shooting direction of the 3D video cameras is from the point on the 3D video cameras to the axis.
Preferably, the model generating means include a processing module, the data analysing method includes：
Whole 3D images that pallet is rotated user on one week shooting pallet by the 3D video cameras are sent to the processing mould
Block,
The processing module splices the pallet and rotates whole 3D images of Monday 3D video camera shooting to generate one
3D submodels；
The 3D submodels that the processing module splicing whole 3D video cameras obtain are to generate the 3D whole bodies model.
Preferably, the data analysing method includes：
For whole 3D images of 3D video camera shooting, the processing module identifies the spy on two adjacent 3D images
Point is levied, and two adjacent 3D images are sutured in such a way that same characteristic features point overlaps；
For two adjacent 3D submodels, the processing module identifies the characteristic point on described two 3D submodels, and
Two 3D submodels are sutured in such a way that same characteristic features point overlaps.
On the basis of common knowledge of the art, above-mentioned each optimum condition can be combined arbitrarily to get each preferable reality of the present invention
Example.
The positive effect of the present invention is that：The data analysing method based on model generating means of the present invention can divide
The size at each position of human body is analysed, and the data information in the region that is blocked on 3D whole body models can be obtained, is provided to the user more
It is mostly convenient.
Description of the drawings
Fig. 1 is the structural schematic diagram of the model generating means of the embodiment of the present invention 1.
Fig. 2 is the flow chart of the data analysing method of the embodiment of the present invention 1.
Fig. 3 is another flow chart of the data analysing method of the embodiment of the present invention 1.
Specific implementation mode
It is further illustrated the present invention below by the mode of embodiment, but does not therefore limit the present invention to the reality
It applies among a range.
Embodiment 1
Referring to Fig. 1, the present embodiment provides a kind of model generating means with data analysis function, the model generates dress
It sets including a pallet 11, a support portion 12, a tumbler, 13,7 3D video cameras 14 of a supporting rod and a processing module.
In the present embodiment, the processing module be a computer, the processing module can also be cloud server, pass through by
Data transmission carries out data operation to cloud server, using cloud server.
The pallet is installed on by the tumbler on the support portion, and the pallet is existed by the tumbler
It is rotated around the axis horizontal of the tumbler on the support portion.
The supporting rod is perpendicular to plane where the pallet.
7 3D video cameras are longitudinally put on the supporting rod side by side.
The shooting direction of the 3D video cameras is from the point on the 3D video cameras to the axis 15.
The 3D video cameras are used to whole 3D images of a user on one week shooting pallet of pallet rotation being sent to described
Processing module.
The processing module is used to splice the pallet and rotates whole 3D images of Monday 3D video camera shooting with life
At a 3D submodels.
The processing module is additionally operable to splice the 3D submodels of whole 3D video cameras acquisitions to generate a 3D whole body models.
Specifically connecting method is：For whole 3D images of 3D video camera shooting, the processing module identification two
Characteristic point on a adjacent 3D images, and two adjacent 3D images are sutured in such a way that same characteristic features point overlaps；
For two adjacent 3D submodels, the processing module identifies the characteristic point on described two 3D submodels, and
Two 3D submodels are sutured in such a way that same characteristic features point overlaps.
Referring to Fig. 2, using above-mentioned model generating means, the present embodiment also provides a kind of data analysing method, including：
Step 100, the 3D whole body models that 100 users are obtained by the model generating means, every 3D whole body models
On include 5 human bodies, 5 human bodies are respectively neck, waist, wrist, shoulder and thigh root.
Step 101, the size for obtaining 5 human bodies on every 3D whole body models.
Step 102 obtains a function, the dependent variable in the function according to all sizes of whole 3D whole bodies models
For the size at a target body position, the independent variable in the function is the size of remaining at least one human body, described
Remaining human body is the human body in addition to the target body position.
Target body position can be one in 5 human bodies in the present embodiment, remaining human body is 5
It is one or several in 4 human bodies in a human body in addition to target body position.
The present embodiment can obtain the size relationship of corporal parts by the function, and scientist can be helped more preferable
Research human body.Moreover, when wearing clothes with user in 3D modeling, can be calculated below clothes by the function
Size.
Specifically, for the 3D whole body models of a target user, the data analysing method includes：
Measure the size of remaining human body on the 3D whole bodies model；
The size at target body position is obtained according to the size of remaining human body and the function.
In data analysing method described above, by obtaining its size with human body and the function, it can obtain
It gets the clothes back the size at following target body position.
The present embodiment also provides a kind of size acquisition methods of neck, and the data analysing method passes through the acquisition methods
Calculate the size of neck：
The 3D human body submodels of preset ratio are intercepted from the top down of 3D whole body models；
By a cross section to the both ends successively transversal 3D human bodies submodel among 3D human body submodels；
The cross-sectional view for obtaining cross-sectional area minimum, obtains collar size described in the Zhou Changwei of cross-sectional view.
In step 100, the 3D whole body models for obtaining 1 user pass through following steps：
Whole 3D images that pallet is rotated user on one week shooting pallet by step 1001, the 3D video cameras are sent to institute
State processing module.
Step 1002, the processing module splice whole 3D images that the pallet rotates Monday 3D video camera shooting
To generate a 3D submodels.
The 3D submodels that step 1003, processing module splicing whole 3D video cameras obtain are to generate the 3D whole bodies mould
Type.
In step 1002, the generation of 3D submodels passes through：It is described for whole 3D images of 3D video camera shooting
The processing module characteristic point on two adjacent 3D images for identification, and two adjacent 3D images are overlapped by same characteristic features point
Mode suture, whole 3D images that a Monday 3D video camera is shot will be rotated and splice obtain the 3D submodels successively.
In step 1003,3D whole bodies model is spliced by 3D submodels：For two adjacent 3D submodels, institute
It states processing module to be additionally operable to identify the characteristic point on described two 3D submodels, and two 3D submodels is passed through into same characteristic features point
The mode of coincidence sutures.
The present embodiment can also provide a kind of method of the accurate size for obtaining collar, including：
The 3D human body submodels of preset ratio are intercepted from the top down of 3D whole body models；
By a cross section to the both ends successively transversal 3D human bodies submodel among 3D human body submodels；
The cross-sectional view for obtaining cross-sectional area minimum, obtains collar size described in the Zhou Changwei of cross-sectional view.
The present embodiment can also provide a kind of method of the accurate size for obtaining waistline, including：
The data analysing method includes：
By the transversal 3D whole bodies model in a cross section, wherein human body both hands naturally droop in the 3D whole bodies model.
Acquisition includes the cross-sectional view of three cross sections.Three cross sections are the cross section of left arm, right arm and waist, wherein
The cross-sectional area of waist is maximum.
The size of waist described in the Zhou Changwei of object cross section is obtained, the object cross section is transversal in a width cross-sectional view
The maximum cross section of area in face.
The data analysing method of the present embodiment obtains the human body by the correspondence of pixel number and length
Size between upper target point.
In addition, the method for obtaining size can be by identifying the pixel at each position on 3D whole body models, and calculate picture
The line distance of vegetarian refreshments obtains specific size.
The data analysing method based on model generating means of the present embodiment can analyze the size at each position of human body, and
The data information that the region that is blocked on 3D whole body models can be obtained, provides more facilities to the user.
Although specific embodiments of the present invention have been described above, it will be appreciated by those of skill in the art that these
It is merely illustrative of, protection scope of the present invention is defined by the appended claims.Those skilled in the art is not carrying on the back
Under the premise of from the principle and substance of the present invention, many changes and modifications may be made, but these are changed
Protection scope of the present invention is each fallen with modification.
Claims (8)
1. a kind of data analysing method based on model generating means, which is characterized in that the data analysing method includes：
The 3D whole body models of at least two users are obtained by the model generating means, if including on every 3D whole body models
Dry human body；
Obtain the size of human body on every 3D whole body models；
A function is obtained according to all sizes of whole 3D whole bodies models, the dependent variable in the function is a target person
The size of body region, the independent variable in the function are the size of remaining at least one human body, remaining described human body
For the human body in addition to the target body position.
2. data analysing method as described in claim 1, which is characterized in that for the 3D whole body models of a target user, institute
Stating data analysing method includes：
Measure the size of remaining human body on the 3D whole bodies model；
The size at target body position is obtained according to the size of remaining human body and the function.
3. data analysing method as claimed in claim 2, which is characterized in that remaining described human body is neck, the number
Include according to analysis method：
The 3D human body submodels of preset ratio are intercepted from the top down of 3D whole body models；
By a cross section to the both ends successively transversal 3D human bodies submodel among 3D human body submodels；
The cross-sectional view for obtaining cross-sectional area minimum, obtains collar size described in the Zhou Changwei of cross-sectional view.
4. data analysing method as claimed in claim 2, which is characterized in that the target body position is waist,
The data analysing method includes：
Pass through the transversal 3D whole bodies model in a cross section；
Acquisition includes the cross-sectional view of three cross sections；
The size of waist described in the Zhou Changwei of object cross section is obtained, the object cross section is cross section in a width cross-sectional view
The maximum cross section of area.
5. data analysing method as described in claim 1, which is characterized in that obtain human body on every 3D whole body models
Size includes：
The size on the human body between target point is obtained by the correspondence of pixel number and length.
6. data analysing method as described in claim 1, which is characterized in that the model generating means include a pallet, one
Support portion, a tumbler, a supporting rod and at least three 3D video cameras,
The pallet is installed on by the tumbler on the support portion, and the pallet is by the tumbler described
It is rotated around the axis horizontal of the tumbler on support portion；
The supporting rod is perpendicular to plane where the pallet；
At least three 3D video cameras are longitudinally put on the supporting rod side by side；
The shooting direction of the 3D video cameras is from the point on the 3D video cameras to the axis.
7. data analysing method as claimed in claim 6, which is characterized in that the model generating means include a processing mould
Block, the data analysing method include：
Whole 3D images that pallet is rotated user on one week shooting pallet by the 3D video cameras are sent to the processing module,
The processing module splices the pallet and rotates whole 3D images of Monday 3D video camera shooting to generate 3D
Model；
The 3D submodels that the processing module splicing whole 3D video cameras obtain are to generate the 3D whole bodies model.
8. data analysing method as claimed in claim 7, which is characterized in that data analysing method includes：
For whole 3D images of 3D video camera shooting, the processing module identifies the feature on two adjacent 3D images
Point, and two adjacent 3D images are sutured in such a way that same characteristic features point overlaps；
For two adjacent 3D submodels, the processing module identifies the characteristic point on described two 3D submodels, and by two
A 3D submodels suture in such a way that same characteristic features point overlaps.
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Cited By (1)
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| CN111419685A (en) * | 2020-04-26 | 2020-07-17 | 北华大学 | Postpartum medicine fumigation treatment nursing system and nursing method for obstetrics and gynecology department |
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Application publication date: 20180911 |