CN208497700U - A kind of Image Acquisition modeling - Google Patents
A kind of Image Acquisition modeling Download PDFInfo
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- CN208497700U CN208497700U CN201721755999.6U CN201721755999U CN208497700U CN 208497700 U CN208497700 U CN 208497700U CN 201721755999 U CN201721755999 U CN 201721755999U CN 208497700 U CN208497700 U CN 208497700U
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Abstract
The utility model discloses a kind of Image Acquisition modelings, including intelligent terminal, host, 3D printer and object of reference, intelligent terminal includes input module, display module, camera, processing module and communication module, processing module is electrically connected with input module, display module, camera and communication module respectively, and communication module is connect with main-machine communication.A kind of Image Acquisition modeling provided by the utility model, intelligent terminal can be produced with plate used in everyday or mobile phone, video image acquisition is carried out to target object and object of reference by the camera of plate or mobile phone, collected video image is converted into digital signal and then passes through communication module by processing module is sent to host, host carries out 3D modeling processing by video image, and the 3D model after the completion of 3D modeling is exported by 3D printer to be printed.
Description
Technical field
The utility model belongs to 3D modeling technical field, and in particular to a kind of Image Acquisition modeling.
Background technique
Image modeling technology refers to and is acquired photo to object by equipment such as cameras, carries out graphic diagram through computer
As processing and three-dimensional computations, to automatically generate the technology of the threedimensional model of subject, belong to three-dimensional reconstruction
Scope is related to the subjects such as computer geometry, computer graphics, computer vision, image procossing, mathematical computations.
From we at home and abroad correlative technology field long-term follow investigation it is grasped the case where from the point of view of, have in the world at present
The mechanisms such as Microsoft, autodesk, inc., Stanford University and the Massachusetts Institute of Technology are quick in the three-dimensional body based on image
Rebuilding aspect has good research achievement, but only laboratory research result, at present can not also be commercial.Currently, electronics is swept
The major technique of modeling is retouched, be scanned by professional laser equipment mostly, resolution ratio is higher, but the cost of equipment is high
It is expensive, hardly have one transportability.It does not need accurately to model very much situation for most of, electron scanning models
Less it is applicable in.
Utility model content
The purpose of this utility model is to solve the above problems, and provides one kind Image Acquisition of simple structure and low cost and builds
Modular system.
In order to solve the above technical problems, the technical solution of the utility model is: a kind of Image Acquisition modeling, including with
Connect in the intelligent terminal for carrying out video image acquisition to target object, the host communicated to connect with intelligent terminal, with main-machine communication
The 3D printer that connects and while carrying out video image acquisition to target object, are placed on the object of reference beside target object, and intelligence is eventually
End include input module, display module, camera, processing module and communication module, processing module respectively with input module, display
Module, camera and communication module are electrically connected, and communication module is connect with main-machine communication.
Camera carries out video image acquisition to target object and object of reference, and collected video image passes through processing module
It is converted into digital signal and then passes through communication module and be sent to host, host carries out 3D modeling processing by video image, and 3D is built
3D model after the completion of mould is exported by 3D printer to be printed.
Preferably, the object of reference is with graduated scale.
Preferably, the intelligent terminal includes shell, and shell is equipped with the card slot for placing scale.
Preferably, the intelligent terminal is mobile phone or tablet computer with camera.
Preferably, the host and 3D printer wireless communication connect.
Preferably, the intelligent terminal further includes power supply module, and power supply module is connected with processing module.
Preferably, described image acquisition modeling further includes the guide rail of annular setting, is slidably fitted with pedestal on guide rail,
Pedestal is equipped with turntable, is equipped with pillar on turntable, intelligent terminal is mounted on pillar, and object of reference is placed on the ring that guide rail surrounds
In shape region.
Preferably, the turntable is rotatably installed on pedestal.
The beneficial effects of the utility model are: a kind of Image Acquisition modeling provided by the utility model, intelligence is eventually
End can produce with plate used in everyday perhaps mobile phone by the camera of plate or mobile phone to target object and object of reference progress
Video image acquisition, collected video image are converted into digital signal by processing module and are then sent to by communication module
Host, host carry out 3D modeling processing by video image, and the 3D model after the completion of 3D modeling is exported by 3D printer to be printed.
Detailed description of the invention
Fig. 1 is the structural schematic diagram of the utility model Image Acquisition modeling.
Fig. 2 is the scheme of installation of the utility model guide rail and pedestal.
Fig. 3 is that the utility model human leg is upright and bending state schematic diagram.
Description of symbols: 1, guide rail；2, pedestal；3, turntable；4, pillar.
Specific embodiment
The utility model is described further in the following with reference to the drawings and specific embodiments:
As depicted in figs. 1 and 2, a kind of Image Acquisition modeling provided by the utility model, including intelligent terminal, master
Machine, 3D printer and object of reference, intelligent terminal are used to carry out target object video image acquisition, and intelligent terminal includes input mould
Block, display module, camera, power supply module, processing module and communication module, processing module respectively with power supply module, input mould
Block, display module, camera and communication module are electrically connected, and communication module is connect with main-machine communication.Host and 3D printer without
Line communication connection.Object of reference is used to be placed on when carrying out video image acquisition to target object beside target object as reference.
Need to carry out target object video image acquisition, therefore the integrality of the video image for acquisition when modeling,
Image Acquisition modeling further includes the guide rail 1 of annular setting, and pedestal 2 is slidably fitted on guide rail 1, and pedestal 2 is equipped with turntable
3, turntable 3 is rotatably installed on pedestal 2, and turntable 3 can be equipped with telescopic pillar 4, intelligence on own axis, turntable 3
Energy terminal is mounted on pillar 4, and object of reference is to be respectively positioned on the ring that guide rail 1 surrounds with graduated scale, scale and target object
In shape region.
2 follows track 1 of pedestal is slided to, the camera alignment scale and target object of intelligent terminal to scale and mesh
Mark object carry out video image acquisition, can by rotating table 3 and adjustment pillar 4 height adjust camera shooting angle and
Highly, collected video image is converted into digital signal and then passes through communication module by processing module is sent to host, main
Machine carries out 3D modeling processing by video image.
Intelligent terminal includes shell, and shell is equipped with the card slot for placing scale.Intelligent terminal can be produced with band camera
Mobile phone or tablet computer.
The 3D modeling method of video image in the present embodiment, comprising the following steps:
S1, edge analysis processing is carried out to frame image every in video image, the edge contour of target object is identified, to not
Shooting angle at same frame is marked, and forms the profile information of target object different angle.
Step S1 includes following sub-step:
S11, brightness identification is carried out to every frame image, calculates luminance mean value and dispersion；
Better recognition effect in order to obtain needs first to assess the effect of image entirety, to be subsequent calculation
Method sets basic parameter and boundary condition.Brightness identification: (L is carried out to key frame of video first with image procossing0…Ln),
Luminance mean value and dispersion are calculated by average weighted method later.
LnIt pair is the overall brightness value of n-th frame image, calculation method can use average gray and linearly be calculated, i.e.,
Each RGB color value in each frame image does average addition, and Z is pixel quantity.
Wherein B works as a as last recognition result parameter0=0, a '=1 when, obtain crude initial values B0。a0Manually to adjust
Whole corrected parameter, a ' are to recommend coefficient, a in the case where typically no manual intervention0=0, it can also be according to the need of practical application
It asks and carries out whole gray scale adjusting to image, video, that is, adjust a0Numerical value, only can be embodied in advance user can
On the image seen.A ' value is between 0.7~1.3.
S12, edge sharpening and binaryzation are carried out to image, obtains two-value grayscale image；
Using high-pass filtering and the airspace differential method to image carry out edge sharpening and binaryzation (be set as 255 more than threshold value,
It is set as 0) reaching ultimate attainment limb recognition less than threshold value.Later in the sharpening figure of each frame image, according to brightness before from
It dissipates weighted value B to compare, forms two-value grayscale image:
The wherein gray scale (or RGB component) of g (x, y) representative image point f (x, y), G [f (x, y)] are picture point f (x, y)
Gradient value.
S13, two-value grayscale image is modified:
The quality problems of two-value grayscale image after sharpening due to noise or image itself, it is understood that there may be partial discontinuous or
The local unsharp situation of person, for this purpose, the amendment in two stages will be carried out in the present embodiment to two-value grayscale image:
S131, the continuous modification that boundary is done using the information of image itself:
Nearest orientation detection is carried out at discontinuous odd point, and distance and the most matched singular point in direction is selected to be attached,
And it is marked in two-value grayscale image:
For pixel P at a distance from P ' and direction, similarly available P point is to continuously coupled direction each point (P0…
Pn) retrospect (Δ0…Δn), singular point fitting is carried out according to the direction of Δ sequence, finally determines most suitable tie point.
S132, boundary continuous modification is carried out to present frame using the supplementary data of before and after frames:
The correcting region of current frame flag is compared with before and after frames, if before and after frames there are continuous situation,
Approximate match is carried out according to the continuous situation of before and after frames, matching value can be according to the unmarked frontier district for " having been corrected " of present frame
Domain carries out similarity analysis.
S2, the simulation rotation modeling that virtual 3d space is carried out to the profile information of the different angle generated in step S1, shape
At 3D model.Step S2 includes following sub-step:
Scale beside S21, selection target object selects 1 mark points on scale to generate and joins as object of reference
Examine vector；
S22, when target object is rotated, pass through on target object mark point vector and object of reference vector angle
Relationship is labeled the angle of present frame, the 2D outline data that a frame has angle information is generated, when all 360 degree of number of contours
After the completion of analysis, and then synthesize the 3D model modeling of target object.
Object of reference can be with more convenient accurate reduction for completing 3D coordinate.If the specific size of given object of reference, also
The size marking that target object can be carried out according to the specific size of exhibition object, to obtain the 3D mould closer to actual effect
Type.
S3,3D model progress details is portrayed and is corrected.
One, flexible article 3D Modifying model: the case where target object is not fixed object if it is flexibility, such as human body.It will
Target person is asked to shoot 360 degree of image/videos according to different postures, such as the flattened upright, both arms of both arms naturally droop uprightly, certainly
It so squats down etc. postures, and corresponding different posture is modeled respectively, so that it is thin to obtain object module " joint " more abundant
Section.
Since human body is a kind of very special " object ", for the 3D modeling of human body, if only from external model
Be scanned, be it is inappropriate because different skeletal forms, articular morphology can to human body during exercise external deformation have it is non-
Often big influence.According to internal reckoning is carried out the characteristics of body configuration's bending change, so that it is determined that influential in 3D model
Skeleton data, into a 3D model that is abundant and improving human body.
For the relevant parameter in joint, bone, the flexure operations such as can be squatted down according to upright, reported arm carry out initial data and adopt
Collection.The utility model confirms the trend and joint position of bone using median computation methods.These information will be used for target
The variation generated when object joint motions, to consider the matching degree of outer cover (clothes etc.).
As shown in figure 3, physical feeling curved for energy, we measure obtain respectively: the length of the position straight configuration
L, the length L of the first arm0, the second arm length L1, the first joint radius R0With the radius R of second joint1, the first joint with
The arc length L of first arm and the second arm point of contact2, second joint and the second arm point of contact arc length L3, one end of the first arm and the second arm
One end is connected by the first joint, and the other end of the second arm is connected with second joint.For leg, upright and bending situation
Under, L is the length of leg vertical state, L0For the length of thigh, L1For the length of shank, R0For the radius of knee, R1For ankle
Radius, L2For the arc length of knee and thigh and shank point of contact, L3For the arc length of ankle and shank point of contact, pass through calculating R0And R1
Center location obtain articulation center, while calculating bone length are as follows:
Meanwhile according to R0, R1Centre point position and bone length LbThe phase of bone, joint can be depicted in 3D model
To position.Based on this, we obtain the relative position informations of internal bone, in this way can be very when doing partial analysis
Design margin required for easily calculating and design details.
Same principle, can be to the data in the joints such as determining arm, elbow, neck.
Two, the spherical surface distortion of camera terminal is modified: since different camera terminals, such as each mobile phone brand are being clapped
Different location regional imaging can have different degrees of spherical surface distortion when taking the photograph image, according to the distortion of the spherical surface of different mobile phone brands
Empirical value establishes the spherical surface distortion data library based on mobile phone brand, software version, thus the 3D model after it is shot and is identified
Further progress amendment, to reach most accurate recognition effect.
Specifically, reference standard object is shot with camera terminal first, then by the data of the image all angles of acquisition
Compared with reference standard object data, obtain camera terminal ball-type distortion feature and calculating ratio, to it is various can
The camera terminal for carrying out video image acquisition to target object carries out accurate measure, is distorted with the ball-type of obtained each camera terminal
Feature and calculating ratio establish correction model database；After user's camera terminal known to wherein is shot, 3D is generated
Before model, video image can first pass through the corresponding distortion data correction model of correction model database lookup, video image processing
Carry out model identification again later.
Three, the amendment of local size is directly carried out to 3D model: original model can be carried out according to the hobby of oneself
The amendment of local small size, for example adjust some local sizes.Especially manikin, the ruler of adjustable concrete position
Very little or user is according to carrying out manual correction the case where actual measurement.
3D model after the completion of 3D modeling can be exported and be printed by 3D printer, be convenient for subsequent use.
Those of ordinary skill in the art will understand that the embodiments described herein, which is to help reader, understands this reality
With novel principle, it should be understood that the scope of the present invention is not limited to such specific embodiments and embodiments.
Those skilled in the art can be made according to the technical disclosures disclosed by the utility model it is various do not depart from it is practical
Novel substantive various other specific variations and combinations, these variations and combinations are still within the protection scope of the present invention.
Claims (7)
1. a kind of Image Acquisition modeling, it is characterised in that: including the intelligence for carrying out video image acquisition to target object
Can terminal, with the intelligent terminal host communicated to connect, the 3D printer that is connect with main-machine communication and target object is regarded
The object of reference being placed on when frequency Image Acquisition beside target object, intelligent terminal include input module, display module, camera,
Processing module and communication module, processing module are electrically connected with input module, display module, camera and communication module respectively,
Communication module is connect with main-machine communication；Described image acquisition modeling further includes the guide rail (1) of annular setting, on guide rail (1)
It is slidably fitted with pedestal (2), pedestal (2) is equipped with turntable (3), is equipped with pillar (4) on turntable (3), intelligent terminal is mounted on
On pillar (4), object of reference is placed in the annular region that guide rail (1) surrounds.
2. Image Acquisition modeling according to claim 1, it is characterised in that: the object of reference is with graduated mark
Ruler.
3. Image Acquisition modeling according to claim 2, it is characterised in that: the intelligent terminal includes shell, shell
Body is equipped with the card slot for placing scale.
4. Image Acquisition modeling according to claim 1, it is characterised in that: the intelligent terminal is with camera
Mobile phone or tablet computer.
5. Image Acquisition modeling according to claim 1, it is characterised in that: the host and 3D printer channel radio
Letter connection.
6. Image Acquisition modeling according to claim 1, it is characterised in that: the intelligent terminal further includes power supply mould
Block, power supply module are connected with processing module.
7. Image Acquisition modeling according to claim 1, it is characterised in that: the turntable (3) is rotatably installed in bottom
On seat (2).
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| Application Number | Priority Date | Filing Date | Title |
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| CN201721755999.6U CN208497700U (en) | 2017-12-15 | 2017-12-15 | A kind of Image Acquisition modeling |
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| CN201721755999.6U CN208497700U (en) | 2017-12-15 | 2017-12-15 | A kind of Image Acquisition modeling |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN107901424A (en) * | 2017-12-15 | 2018-04-13 | 北京中睿华信信息技术有限公司 | A kind of Image Acquisition modeling |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN107901424A (en) * | 2017-12-15 | 2018-04-13 | 北京中睿华信信息技术有限公司 | A kind of Image Acquisition modeling |
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