CN109147051A - A kind of human body 3D modeling method based on mobile phone scanning - Google Patents
A kind of human body 3D modeling method based on mobile phone scanning Download PDFInfo
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- CN109147051A CN109147051A CN201810927926.3A CN201810927926A CN109147051A CN 109147051 A CN109147051 A CN 109147051A CN 201810927926 A CN201810927926 A CN 201810927926A CN 109147051 A CN109147051 A CN 109147051A
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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
- G06T17/20—Finite element generation, e.g. wire-frame surface description, tesselation
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04M—TELEPHONIC COMMUNICATION
- H04M1/00—Substation equipment, e.g. for use by subscribers
- H04M1/72—Mobile telephones; Cordless telephones, i.e. devices for establishing wireless links to base stations without route selection
- H04M1/724—User interfaces specially adapted for cordless or mobile telephones
- H04M1/72403—User interfaces specially adapted for cordless or mobile telephones with means for local support of applications that increase the functionality
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2200/00—Indexing scheme for image data processing or generation, in general
- G06T2200/08—Indexing scheme for image data processing or generation, in general involving all processing steps from image acquisition to 3D model generation
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Abstract
The invention discloses a kind of human body 3D modeling methods based on mobile phone scanning, and this method is applied on mobile phone, method includes the following steps: S1: generating TSDF 3D grid model；S2: intensive image calibration: S3: key frame selection: S4: intensive images match generates depth image S5: volume mesh model modification: S6: human body 2D image is generated on mobile phone screen.The present invention carries out three-dimensional modeling to human body using the camera of mobile phone, and the three-dimensional modeling for utilizing the computing capability of mobile phone itself that can complete human body simultaneously without any attendant equipment calculates work；Using human body symmetry principle, as long as scanning half of body, system will automatically be generated the three-dimensional of entire human body；The sweep time for greatling save user, when one hand of user is holding mobile phone, it has not been convenient to which scanning will not be impacted；Any data is filled in without consumer, it is easy to operate, it is at low cost.
Description
Technical field
The invention belongs to 3D modeling fields, and in particular to a kind of human body 3D modeling method based on mobile phone scanning.
Background technique
Building three-dimensional (3D) model to human body in dress ornament field is to carry out three-dimensional virtual fitting, and three-dimension virtual reality (VR) etc. is answered
Basis.
The country is mainly realized using following several method at present.
The first: three-dimensional (3D) software modeling.
Second: three-dimensional (3D) scanning modeling.
The third: model's Shift Method.
The first is established human 3d model using three-dimensional (3D) software and needs to repair model using 3D software tool
Change plasticity.It is difficult to automatically derive the threedimensional model with individual subject uniformity of type in a short time.Because too time-consuming, user is wanted
Waiting is too long, so the application such as virtual fitting is upper on the line of dress ornament, such modeling pattern is difficult expanded commercialization.
Three-dimensional (3D) scanning modeling of second of utilization.It needs to be scanned with the 3D scanning device of profession.This mode obtains
The model data obtained most accurately reflects the figure of measurand.But need the expensive and biggish 3D scanner device of volume
Support.Most typical commercial (human body three-dimensional for virtual fitting models) is Mirror Display (witch mirror displaying).Just
It is that several sensors and stereoscan instrument are installed in large-scale simulation fitting frame, when user goes to before mirror, grabs human body body
Material data (stereoscan) in-time generatin three-dimensional (3 D) manikin, is subsequently used for the virtual fitting of next step.Therefrom we can see
It arrives, because scanning device is too big.It can only be installed and used in the solid shop/brick and mortar store in dress ornament field.Be not suitable at all in virtual network fitting institute
The human body three-dimensional modeling needed.Purposes is greatly limited to.
There are three types of alternatives: replacement one for the third model's Shift Method (if carrying out model emulation using 3D software): few
Measure fixed model's replacement.It is exactly the model fixed with several tools, user can select a tool to seem relatively certainly in mobile terminal
The fixation model of the own bodily form is replaced (fixed model's apparatus has had been subjected to 3D scanning modeling in advance).Because alternative solid
Cover half spy's limited types are difficult to meet the needs of public different shaped body, and consumer oneself is also difficult which model judged
It is close with oneself figure, it differs greatly after replacement with true man, this is also the reason of not popularizing at present.Replacement two: this is a kind of
Model emulation method, way are to collect a large amount of human body data in advance with computer system, establish somatic data library.(these
The body model of typing has been set up three-dimensional (3 D) manikin).The similar bodily form of comparison in database is gone to set again subscriber data
Change threedimensional model obtained from my head.Its way is using recording more than 10,000 Chinese women human bodies establishes human mould in advance
Type.Then by these model foundation backstage somatic data libraries.User gets out the front photograph of oneself, fills in 25 or so
Personal stature data (for example height, weight, measurements of the chest, waist and hips etc. upload together with personal photograph, pass through the stature data of these people
Information is found in somatic data library closest to the personal human 3d model that your target model is replaced and generates.It is this
Although method fidelity can greatly improve, user will fill in a large amount of personal stature data of input, some data users
It also to be obtained by other methods, user can feel too cumbersome, trouble.Provider will also spend a large amount of manpower, time simultaneously
It goes to establish huge somatic data library.Replacement three, the deformation and a kind of model emulation method for replacing two, prior 3D typing are big
Amount body model establishes somatic data library, is spliced to as far as possible by the human synovial in database, after limbs digitization and acquirement
It is measured the measured manikin that people's external form is approached and generated.This is the deformation of above-mentioned replacement two.Application number
CN201710132436X be exactly using this method come realize human body three-dimensional model.Operating process is with mobile phone certain
Distance claps two clearly positive photograph and side profile photographs, simply fills in several body informations in person, then uploads together.From the background
System is generated using the material matches splicing in obtained body data data and profile photograph and full face, with database
The human 3d model of the measured.Although the project to be filled in of the method user reduces, other aspects are generated
Defect it is bigger.In order to obtain clear available profile photograph, there is a certain distance when requiring photographer to take pictures first.This makes
Self-timer becomes highly difficult.Next requires photographer that must wear dark close-fitting clothing.User should can resist very much this side
Formula.Following popularization and use prospect causes anxiety.
Summary of the invention
For overcome the deficiencies in the prior art, the present invention provides a kind of human body 3D modeling preventions based on mobile phone scanning.
The technical scheme of the present invention is realized as follows: a kind of human body 3D modeling method based on mobile phone scanning, this method
It applies on mobile phone, method includes the following steps:
S1: TSDF 3D grid model is generated:
S1-1: using the position and orientation of the algorithm estimation mobile phone camera each time point of depth reconstruction；
S1-2: being based on Stereo Matching Algorithm, shoots one group of different angle under Same Scene by using mobile phone camera
Image obtains the scene depth image；
S1-3: the position and orientation and depth image of the calculating camera obtained by S1-1 and S1-2 are turned by coordinate
Get relevant point cloud data in return, the point cloud data refers to that scanning data records in dots, each point includes three
Coordinate is tieed up, for representing an external surface of objects shape；
S1-4: fusion treatment is carried out to obtained point cloud data using TSDF algorithm, obtains TSDF 3D grid model；
S2: intensive image calibration: using depth floating-point algorithm for reconstructing, tracking mobile phone camera makes to go smoothly in scanning scene
The position of machine camera and last camera position align, and obtain the tracking result of mobile phone camera position, obtain in one's hands
The motion profile of machine；
S3: after the motion profile for obtaining mobile phone by S2, a key key frame selection: is selected from mobile phone motion profile
Frame and present image are compared, and the depth image of current visual angle is generated using Stereo Matching Algorithm；
S4: intensive images match generates depth image: each point in any two field pictures in calculating mobile phone motion profile
Relationship between corresponding relationship and the two field pictures camera site generates overall depth image by Epipolar geometry；
S5: volume mesh model modification: S2 and S3 are obtained into the depth image of current visual angle and overall depth image imports
The depth image for being updated to obtain different perspectives to TSDF 3D grid model into volume mesh model merges；
S6: generate 2D image: updated TSDF 3D grid model be mapped to the 2D of mobile phone when preceding camera position
It sets, 2D image is generated on mobile phone screen.
The key frame and present image selected in the key frame selection step meets claimed below:
The lap of key frame and current human's image is The more the better；The background in a distant place is disregarded in current human's image
It calculates；Current human's image is handled using mirror symmetry according to human body symmetry principle, calculates half image, the other half is answered
System.
Preferably, the mobile phone adds attachment device, and the attachment device penetrates human body clothing to human body for scanning
It is scanned imaging.
Preferably, the attachment device is infrared scanning component, X-ray scanning component or millimeter wave sweep unit.
Preferably, the infrared scanning component, X-ray scanning component, millimeter wave sweep unit by external interface with
Outer handset connection or infrared scanning component, X-ray scanning component, millimeter wave sweep unit are built in interior of mobile phone and institute
Chip for cell phone is stated to connect by electric signal.
Beneficial effects of the present invention: the present invention carries out three-dimensional modeling to human body using the camera of mobile phone, without appointing
The three-dimensional modeling what attendant equipment utilizes the computing capability of mobile phone itself that can complete human body simultaneously calculates work；Utilize human body pair
Claim principle, as long as scanning half of body, system will automatically be generated the three-dimensional of entire human body；Greatly save sweeping for user
The time is retouched, when one hand of user is holding mobile phone, it has not been convenient to which scanning will not be impacted；Any money is filled in without consumer
Material, it is easy to operate, it is at low cost.
Detailed description of the invention
Fig. 1 is a kind of method schematic of human body 3D modeling method based on mobile phone scanning.
Fig. 2 is a kind of step flow chart of human body 3D modeling method based on mobile phone scanning.
Specific embodiment
Specific embodiments of the present invention will be further explained below:
Embodiment one
As shown in Figs. 1-2, a kind of human body 3D modeling method based on mobile phone scanning, this method are applied on mobile phone, the party
Method the following steps are included:
A kind of human body 3D modeling method based on mobile phone scanning, this method are applied on mobile phone, and this method includes following step
It is rapid:
S1: TSDF 3D grid model is generated:
S1-1: using the position and orientation of the algorithm estimation mobile phone camera each time point of depth reconstruction；
S1-2: being based on Stereo Matching Algorithm, shoots one group of different angle under Same Scene by using mobile phone camera
Image obtains the scene depth image；
S1-3: the position and orientation and depth image of the calculating camera obtained by S1-1 and S1-2 are turned by coordinate
Get relevant point cloud data in return, the point cloud data refers to that scanning data records in dots, each point includes three
Coordinate is tieed up, for representing an external surface of objects shape；
S1-4: fusion treatment is carried out to obtained point cloud data using TSDF algorithm, obtains TSDF 3D grid model；
Depth reconstruction is Align Depth To Reconstruction in S1 step, is a kind of existing algorithm.
Depth image is also range image, refer to using distance (depth) value of each point in from image acquisition device to scene as
The image of pixel value.It directly reflects the geometry of scenery visible surface.
TSDF be truncated signed distance function abbreviation, Chinese mean truncation have symbol away from
From function or truncated symbolic measurement.
Entire three-dimensional space to be reconstructed is divided into grid by TSDF model, and numerical value, grid mould are stored in each grid
The size of type intermediate value represents grid with a distance from the surface rebuild.The surface rebuild to camera side be all positive value, it is another
Side is all negative value.Mesh point is bigger from the remoter absolute value of surface distance rebuild.The passing through from positive to negative in grid model
Point indicates the surface for the scene rebuild.It is used to update a numerical value in each small grid using this method.The numerical value generation
Table minimum distance of the grid to model surface, also referred to as TSDF value.For each grid, it can all update and converge in each frame
The value for recording TSDF, then restores reconstruction model by TSDF value again.This method is commonly known as the method based on volume data
(volumetric based method).The core concept of this method be by constantly update and merge (fusion) TSDF this
The measured value of seed type, we can become closer to required true value.
S2: intensive image calibration: using depth floating-point algorithm for reconstructing, tracking mobile phone camera makes to go smoothly in scanning scene
The position of machine camera and last camera position align, and obtain the tracking result of mobile phone camera position, obtain in one's hands
The motion profile of machine；
S3: after the motion profile for obtaining mobile phone by S2, a key key frame selection: is selected from mobile phone motion profile
Frame and present image are compared, and the depth image of current visual angle is generated using Stereo Matching Algorithm；
S4: intensive images match generates depth image: each point in any two field pictures in calculating mobile phone motion profile
Relationship between corresponding relationship and the two field pictures camera site generates overall depth image by Epipolar geometry；
S5: volume mesh model modification: S2 and S3 are obtained into the depth image of current visual angle and overall depth image imports
The depth image for being updated to obtain different perspectives to TSDF 3D grid model into volume mesh model merges；
S6: generate 2D image: updated TSDF 3D grid model be mapped to the 2D of mobile phone when preceding camera position
It sets, 2D image is generated on mobile phone screen.
Specifically, the key frame and present image selected in S3 key frame selection step meets claimed below:
The lap of key frame and current human's image is The more the better；The background in a distant place is disregarded in current human's image
It calculates, a distant place here refers in human body image from the scene other than 2 meters of human body；According to human body symmetry principle to current human's image
It is handled using mirror symmetry, calculates half image, the other half is replicated.Operand can be greatly saved in this way, improve speed
Rate.
Stereo Matching Algorithm in S3 step passes through this energy cost letter mainly by establishing an energy cost function
Number minimizes to estimate pixel parallax value.The essence of Stereo Matching Algorithm is exactly an optimization problem, passes through foundation
Reasonable energy function increases some constraints.Equation solution is carried out using the method for Optimum Theory, this is also all morbid state
Problem solving method.
In addition, S4: intensive images match, the Epipolar geometry (Epipolar Geometry) generated in depth image refer to
Two cameras shoot same object in different positions, if the scenery in two photos has the part of overlapping, we have reason
It is believed that between this two photos, there are certain corresponding relationships.How corresponding relationship between them is described, description instrument is pair
Pole geometry.It is the important mathematical method for studying stereoscopic vision.
The corresponding relationship between two images is found, most straightforward approach is exactly point-by-point matching, if be subject to certain
Constraint condition constrains (epipolar constraint) to pole, and the range of search can greatly reduce.
Mainly a kind of more figure imaging techniques are using regular handset progress 3D scanning by the present invention, wherein more figure imaging techniques, class
It is similar to the image-forming mechanism of human eye.
What the present invention to be done just shows the 3D object built on 2D screen coordinate.For this process, sit
Mark system change over order are as follows: object coordinates are one camera coordinates system of a world coordinate system, one projected coordinate system one image (pixel) coordinate
System.
The 3D information that we obtain after scanning mobile phone is reconverted by camera coordinates system dimensionality reduction to (2 dimension) projected coordinate system
Image coordinate system (2D) is shown in the work on 2D screen coordinate this completes the 3D object built.Actually
It is converted by coordinate, it is seen that the object of 3D on the screen of 2D.
Embodiment two
Embodiment two and implement one the difference is that, the mobile phone adds attachment device, and the attachment device is used
Human body clothing is penetrated in scanning, and imaging is scanned to human body.
Specifically, the attachment device be infrared scanning component, X-ray scanning component (also referred to as back scattering scanning) or
Millimeter wave sweep unit.
Preferably, the infrared scanning component, X-ray scanning component, millimeter wave sweep unit, which may each be, to be added to
On mobile phone, as charging sheath for mobile phone, be also possible to built-in, built-in attachment device elder generation miniaturized, after micromation by
Handset manufacturers are placed in mobile phone.
Specifically, when additional connection, infrared scanning component, X-ray scanning component, millimeter wave sweep unit passes through outer
Connection interface is connect with outer handset or infrared scanning component；When built-in setting, X-ray scanning component, millimeter wave scanning
Component is built in interior of mobile phone and is connect with the chip for cell phone by electric signal.
Wherein, infrared scanning component, X-ray scanning component, millimeter wave sweep unit be respectively adopted infrared scanning at
As technology, X-ray scanning imaging technique and millimeter wave scanning imaging technology are scanned, and belong to three different scanning imageries
Technical application.They can be used in combination with mobile phone 3d modeling respectively, these imaging techniques can penetrate appointing for user
What clothing, obtains human body clearly profile (not worn the clothes influences).The clear human body contour outline obtained by these technologies with it is aforementioned
Mobile phone human body 3D modeling method combines, thus solve Stereo face recognition by modeler wear the clothes whether close-fitting loose shadow
It rings.
In use, opening mobile phone camera, it is more close-fitting that system first identifies whether user wears, if judging what user wore
It is tight, then system can obtain satisfied human body contour outline, then automatically into 3d scanning modeling mode.Otherwise, it can remind
User opens attachment device, carries out mobile phone human body 3D modeling method using attachment device and carries out cooperation modeling.
According to the disclosure and teachings of the above specification, those skilled in the art in the invention can also be to above-mentioned embodiment party
Formula is changed and is modified.Therefore, the invention is not limited to the specific embodiments disclosed and described above, to the one of invention
A little modifications and changes should also be as falling into the scope of the claims of the present invention.In addition, although being used in this specification
Some specific terms, these terms are merely for convenience of description, does not limit the present invention in any way.
Claims (5)
1. a kind of human body 3D modeling method based on mobile phone scanning, which is characterized in that this method is applied on mobile phone, this method packet
Include following steps:
S1: TSDF 3D grid model is generated:
S1-1: using the position and orientation of the algorithm estimation mobile phone camera each time point of depth reconstruction；
S1-2: being based on Stereo Matching Algorithm, and one group of image of different angle under Same Scene is shot by using mobile phone camera
To obtain the scene depth image；
S1-3: it is converted to by coordinate using S1-1 to camera position, direction and the depth image that S1-2 is obtained related
Point cloud data, the point cloud data refers to that scanning data records in dots, each point includes three-dimensional coordinate, is used to
Represent an external surface of objects shape；
S1-4: fusion treatment is carried out to obtained point cloud data using TSDF algorithm, obtains TSDF 3D grid model；
S2: intensive image calibration: using depth floating-point algorithm for reconstructing, tracking mobile phone camera makes in the scene of scanning human body
The position of mobile phone camera and last camera position align, and obtain the tracking result of mobile phone camera position, obtain
The motion profile of mobile phone；
S3: key frame selection: after the motion profile for obtaining mobile phone by S2, selected from mobile phone motion profile key frame and
Current human's image is compared, and the depth image of current visual angle is generated using Stereo Matching Algorithm；
S4: intensive images match generates depth image: calculating the correspondence of each point in any two field pictures in mobile phone motion profile
Relationship between relationship and the two field pictures camera site generates overall depth image by Epipolar geometry；
S5: volume mesh model modification: S2 and S3 are obtained into the depth image of current visual angle and overall depth image is imported into
The depth image for being updated to obtain different perspectives to TSDF 3D grid model in TSDF 3D grid model merges；
S6: it generates 2D image: updated TSDF 3D grid model being mapped to the camera position of the 2D of current phone
On, human body 2D image is generated on mobile phone screen.
2. a kind of human body 3D modeling method based on mobile phone scanning as described in claim 1, which is characterized in that the S3: close
The key frame and present image selected in key frame selection step meets claimed below:
The lap of key frame and current human's image is The more the better；The background in a distant place does not calculate in current human's image；Root
Current human's image is handled using mirror symmetry according to human body symmetry principle, calculates half image, the other half is replicated.
3. a kind of human body 3D modeling method based on mobile phone scanning as described in claim 1, which is characterized in that the mobile phone adds
Equipped with attachment device, the attachment device penetrates human body clothing for scanning and is scanned imaging to human body.
4. a kind of human body 3D modeling method based on mobile phone scanning as claimed in claim 3, which is characterized in that the additional dress
It is set to infrared scanning component, X-ray scanning component or millimeter wave sweep unit.
5. a kind of human body 3D modeling method based on mobile phone scanning as claimed in claim 3, which is characterized in that the infrared ray
Sweep unit, X-ray scanning component, millimeter wave sweep unit is connect by external interface with outer handset or infrared scanning
Component, X-ray scanning component, millimeter wave sweep unit are built in interior of mobile phone and are connect with the chip for cell phone by electric signal.
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| CN201810112678.7A CN108053482A (en) | 2018-02-05 | 2018-02-05 | A kind of human body 3D modeling method based on mobile phone scanning |
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| CN110006340A (en) * | 2019-03-26 | 2019-07-12 | 华为技术有限公司 | A kind of dimension of object measurement method and electronic equipment |
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| CN109241901B (en) * | 2018-08-30 | 2019-08-06 | 天津理工大学 | A kind of detection and recognition methods to the three-dimensional point cloud with hole |
| WO2020123722A1 (en) | 2018-12-14 | 2020-06-18 | Spectral Md, Inc. | System and method for high precision multi-aperture spectral imaging |
| CN109816784B (en) * | 2019-02-25 | 2021-02-23 | 盾钰（上海）互联网科技有限公司 | Method and system for three-dimensional reconstruction of human body and medium |
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