CN117197406A - 3D model boundary flanging method and system - Google Patents
3D model boundary flanging method and system Download PDFInfo
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- CN117197406A CN117197406A CN202311057887.3A CN202311057887A CN117197406A CN 117197406 A CN117197406 A CN 117197406A CN 202311057887 A CN202311057887 A CN 202311057887A CN 117197406 A CN117197406 A CN 117197406A
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- 239000010440 gypsum Substances 0.000 description 2
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Abstract
The invention provides a 3D model boundary flanging method and system, wherein the method comprises the following steps: leading in a 3D model of the pre-boundary flanging; acquiring a boundary point set of the 3D model, and calculating a normal vector of each boundary point based on a patch normal vector; according to a preset everting value and normal vector of the boundary point, calculating corresponding everting points after everting the boundary point set, the first layer point set and the second layer point set; the first layer point set is a point set adjacent to the boundary point, and the second layer point set is a point set adjacent to the first layer point set and not being a boundary point; and (5) carrying out fairing treatment on the everted 3D model to obtain the boundary everting 3D model. According to the scheme, the 3D model boundary flanging efficiency can be improved, and the model flanging process is simplified.
Description
Technical Field
The invention belongs to the technical field of computers, and particularly relates to a 3D model boundary flanging method and system.
Background
The medical external fixation support mainly plays a role in fixing the injured limb part of the patient, so that the movement of the injured limb part is reduced, and the rehabilitation of the injured part of the patient is facilitated. With the continuous development of 3D printing in the medical field application, the defects existing in the prior gypsum or splint fixation can be effectively reduced through 3D printing of an external fixation model, such as incapability of cleaning a gypsum fixing part, the tightness degree of splint fixation and the like, which need to be based on the experience of doctors. These factors have limited the use of plaster and splints, driving the development of 3D printed external fixation braces in medical applications.
For the external fixed model of 3D printing, a 3D model needs to be built in advance, and the model is subjected to boundary flanging by using the existing CAD software, so that the model after flanging can be obtained, and the printed model is more attached to the body of a patient. However, when the existing CAD software performs the edge flanging on the model, the operation process is complex, and a lot of time is required for editing the model, so that the edge flanging processing efficiency of the model is low.
Disclosure of Invention
In view of the above, the embodiment of the invention provides a 3D model boundary flanging method and system, which are used for solving the problem of low flanging efficiency of the existing 3D model.
In a first aspect of the embodiment of the present invention, a 3D model boundary flanging method is provided, including:
leading in a 3D model of the pre-boundary flanging;
acquiring a boundary point set of the 3D model, and calculating a normal vector of each boundary point based on a patch normal vector;
according to a preset everting value and normal vector of the boundary point, calculating corresponding everting points after everting the boundary point set, the first layer point set and the second layer point set;
the first layer point set is a point set adjacent to the boundary point, and the second layer point set is a point set adjacent to the first layer point set and not being a boundary point;
and (5) carrying out fairing treatment on the everted 3D model to obtain the boundary everting 3D model.
In a second aspect of the embodiment of the present invention, there is provided a 3D model boundary flanging system, including:
the importing module is used for importing a 3D model with a pre-boundary flanging;
the computing module is used for acquiring a boundary point set of the 3D model and calculating normal vectors of all boundary points based on the normal vector of the surface patch;
the everting processing module is used for calculating everting points corresponding to the everting of the boundary point set, the first layer point set and the second layer point set according to a preset everting value and the normal vector of the boundary point;
the first layer point set is a point set adjacent to the boundary point, and the second layer point set is a point set adjacent to the first layer point set and not being a boundary point;
and the fairing processing module is used for carrying out fairing processing on the everted 3D model to obtain the boundary everting 3D model.
In a third aspect of the embodiments of the present invention, there is provided an electronic device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, the processor implementing the steps of the method according to the first aspect of the embodiments of the present invention when the computer program is executed by the processor.
In a fourth aspect of the embodiments of the present invention, there is provided a computer readable storage medium storing a computer program which, when executed by a processor, implements the steps of the method provided by the first aspect of the embodiments of the present invention.
According to the embodiment of the invention, the point set in the 3D model is directly subjected to flanging calculation based on the patch normal vector and the preset flanging value, so that model flanging processing is realized, traditional complex model editing operation can be avoided, time consumed by flanging processing is reduced, model flanging efficiency is improved, and quick flanging operation is realized.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following description will briefly explain the drawings used in the embodiments or the description of the prior art, and it is obvious that the drawings described below are only some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort to a person skilled in the art.
FIG. 1 is a schematic flow chart of a 3D model boundary flanging method according to one embodiment of the present invention;
FIG. 2 is a schematic diagram of a boundary point set, a first layer point set, and a second layer point set according to an embodiment of the present invention;
FIG. 3 is a schematic view of a 3D model before eversion of a boundary according to an embodiment of the present invention;
FIG. 4 is a schematic view of a 3D model with everted boundaries according to an embodiment of the present invention;
FIG. 5 is a schematic structural diagram of a 3D model boundary flanging system according to an embodiment of the present invention;
fig. 6 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
In order to make the objects, features and advantages of the present invention more comprehensible, the technical solutions in the embodiments of the present invention are described in detail below with reference to the accompanying drawings, and it is apparent that the embodiments described below are only some embodiments of the present invention, but not all embodiments of the present invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
It should be understood that the term "comprising" and other similar meaning in the description of the invention or the claims and the above-mentioned figures is intended to cover a non-exclusive inclusion, such as a process, method or system, apparatus comprising a series of steps or elements, without limitation to the listed steps or elements. Furthermore, "first" and "second" are used to distinguish between different objects and are not used to describe a particular order.
Referring to fig. 1, a flow chart of a 3D model boundary flanging method provided by an embodiment of the present invention includes:
s101, importing a 3D model with a pre-boundary flanging;
importing a 3D model generated by user editing or 3D scanning to carry out flanging treatment
Optionally, for the imported 3D model, adjusting the spatial position of the 3D model, and cutting out the redundant part in the 3D model.
S102, acquiring a boundary point set of the 3D model, and calculating normal vectors of all boundary points based on a surface patch normal vector;
the boundary point set is a set of boundary points, the boundary points refer to points on the edge of the model, namely, the points on the edge of the boundary, the edge of the boundary is not commonly co-bordered with other triangular patches, and the boundary points are two points on the edge.
Specifically, according to the 3D model data structure, a boundary edge set of a model is obtained, wherein the boundary edge is an edge which is not shared with other triangular patches; and acquiring a corresponding boundary point set based on the boundary edge set.
The 3D model is composed of patches, the patches on the model are represented by normal vectors, and the normal vectors of boundary points are calculated based on the normal vectors of adjacent patches.
Specifically, three patch areas adjacent to the boundary point are obtained, the normal vector of the boundary point is calculated according to the formula (1), and the normal vector of the boundary point is unitized:
N＝S1*N1+S2*N2+S3*N3；
where N represents a boundary point normal vector, S1, S2, and S3 each represent an adjacent patch area, and N1, N2, and N3 each represent an adjacent patch normal vector.
Three adjacent patches at the boundary point P1 have normal vectors of N1, N2 and N3 and areas of S1, S2 and S3, respectively, and the sum of the areas of the adjacent patches and the normal vector is calculated to be N=S1+S2+N2+S3+N3, and the normal vector of the boundary point is obtained by unitizing the areas.
S103, calculating corresponding everting points after everting the boundary point set, the first layer point set and the second layer point set according to a preset everting value and a normal vector of the boundary point;
the first layer point set is a point set adjacent to the boundary point, and the second layer point set is a point set adjacent to the first layer point set and not being a boundary point;
exemplary, as shown in FIG. 2, where P 1 、P 2 、P 3 All are boundary points, Q 1 、Q 2 、Q 3 Are all points in the first layer of point set, M 1 、M 2 、M 3 、M 4 Are all points in the second layer of point sets. Based on the boundary edge set, a model boundary point set can be obtainedRepresenting the set of boundary points as P 1 、P 2 、P 3 ···P i Traversing each side of the triangular patch in the model, when one point belongs to a boundary point and the other point does not belong to the boundary point, the point can be used as a first layer point set adjacent to the boundary point set, and the first layer point set is expressed as Q 1 、Q 2 、Q 3 ···Q j Similarly, traversing each side to obtain a second layer point set adjacent to the first layer point set, and representing the second layer point set as M 1 、M 2 、M 3 ···M k Wherein i, j and k respectively represent the number of different point sets.
And according to the set everting values, everting the different point sets to different degrees. And calculating a boundary point set by the product of the valgus value and the normal vector of the point, and calculating the product of the valgus value, the coefficient value and the normal vector of the point for the first layer point set and the second layer point set.
Specifically, the everting point corresponding to the boundary point is calculated according to the formula (2):
x1＝P.x*k，y1＝P.y*k，z1＝P.z*k； (2)
wherein x1, y1 and z1 represent three-dimensional coordinates of an everting point corresponding to the boundary point, k represents a preset everting value, and P.x, P.y and P.z represent three-dimensional coordinates of the boundary point;
calculating the everting point corresponding to the first layer point set according to the formula (3):
x2＝ Q.x+ Q.x *k*n，y2＝ Q.y+ Q.y *k*n，z2＝ Q.z+ Q.z *k*n； (3)
wherein x2, y2 and z2 represent three-dimensional coordinates of everting points corresponding to the Q points in the first layer of point sets, k represents a preset everting value, n represents everting coefficients, and Q.x, Q.y and Q.z represent three-dimensional coordinates of the Q points in the first layer of point sets;
calculating the everting point corresponding to the second layer point set according to the formula (4):
x3＝ M.x+ M.x *k*m，y3＝ M.y+ M.y *k*m，z3＝ M.z+ M.z *k*m； (4)
in the formula, x3, y3 and z3 represent three-dimensional coordinates of everting points corresponding to M points in the second layer of point set, k represents a preset everting value, M represents an everting coefficient, and M.x, M.y and M.z represent three-dimensional coordinates of M points in the second layer of point set.
S104, carrying out fairing treatment on the everted 3D model to obtain a boundary everting 3D model.
And (3) smoothing the model after flanging, so that the grid quality can be improved, and a final boundary flanging 3D model is obtained.
Illustratively, the 3D model before flanging is shown in fig. 3, the 3D model after flanging is shown in fig. 4, and the eversion effect at the model boundary can be clearly seen in the figure.
In the embodiment, the flanging can be rapidly performed on the model boundary, complex editing of the model by using CAD software is avoided, and the flanging operation efficiency is improved.
It should be understood that the sequence number of each step in the above embodiment does not mean the sequence of execution, and the execution sequence of each process should be determined by its function and internal logic, and should not be construed as limiting the implementation process of the embodiment of the present invention.
Fig. 5 is a schematic structural diagram of a 3D model boundary flanging system according to an embodiment of the present invention, where the system includes:
an importing module 510, configured to import a 3D model of the pre-boundary flanging;
optionally, the 3D model for introducing the pre-boundary flanging further includes:
and adjusting the spatial position of the 3D model, and cutting out redundant parts in the 3D model.
The calculation module 520 is configured to obtain a set of boundary points of the 3D model, and calculate a normal vector of each boundary point based on a patch normal vector;
specifically, the acquiring the boundary point set of the 3D model includes:
acquiring a boundary edge set of a model according to the 3D model data structure, wherein the boundary edge is an edge which is not shared with other triangular patches;
and acquiring a corresponding boundary point set based on the boundary edge set.
Wherein, the normal vector based on the patch normal vector calculation comprises:
three patch areas adjacent to the boundary point are obtained, the normal vector of the boundary point is calculated according to the formula (1), and the normal vector of the boundary point is unitized:
N＝S1*N1+S2*N2+S3*N3；
where N represents a boundary point normal vector, S1, S2, and S3 each represent an adjacent patch area, and N1, N2, and N3 each represent an adjacent patch normal vector.
The everting processing module 530 is configured to calculate everting points corresponding to the everting boundary point set, the first layer point set and the second layer point set according to a preset everting value and a normal vector of the boundary point;
the first layer point set is a point set adjacent to the boundary point, and the second layer point set is a point set adjacent to the first layer point set and not being a boundary point;
specifically, the everting point corresponding to the boundary point is calculated according to the formula (2):
x1＝P.x*k，y1＝P.y*k，z1＝P.z*k； (2)
wherein x1, y1 and z1 represent three-dimensional coordinates of an everting point corresponding to the boundary point, k represents a preset everting value, and P.x, P.y and P.z represent three-dimensional coordinates of the boundary point;
calculating the everting point corresponding to the first layer point set according to the formula (3):
x2＝ Q.x+ Q.x *k*n，y2＝ Q.y+ Q.y *k*n，z2＝ Q.z+ Q.z *k*n； (3)
wherein x2, y2 and z2 represent three-dimensional coordinates of everting points corresponding to the Q points in the first layer of point sets, k represents a preset everting value, n represents everting coefficients, and Q.x, Q.y and Q.z represent three-dimensional coordinates of the Q points in the first layer of point sets;
calculating the everting point corresponding to the second layer point set according to the formula (4):
x3＝ M.x+ M.x *k*m，y3＝ M.y+ M.y *k*m，z3＝ M.z+ M.z *k*m； (4)
in the formula, x3, y3 and z3 represent three-dimensional coordinates of everting points corresponding to M points in the second layer of point set, k represents a preset everting value, M represents an everting coefficient, and M.x, M.y and M.z represent three-dimensional coordinates of M points in the second layer of point set.
And the fairing processing module 540 is configured to perform fairing processing on the everted 3D model to obtain a boundary everting 3D model.
It will be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working process of the above-described system and module may refer to the corresponding process in the foregoing method embodiment, which is not repeated herein.
Fig. 6 is a schematic structural diagram of an electronic device according to an embodiment of the present invention. The electronic equipment is used for carrying out flanging processing on the 3D model. As shown in fig. 6, the electronic device 6 of this embodiment includes: a memory 610, a processor 620, and a system bus 630, the memory 610 including an executable program 6101 stored thereon, it will be understood by those skilled in the art that the electronic device structure shown in fig. 6 is not limiting of the electronic device and may include more or fewer components than illustrated, or may combine some components, or a different arrangement of components.
The following describes the respective constituent elements of the electronic device in detail with reference to fig. 6:
the memory 610 may be used to store software programs and modules, and the processor 620 performs various functional applications and data processing of the electronic device by executing the software programs and modules stored in the memory 610. The memory 610 may mainly include a storage program area that may store an operating system, application programs required for at least one function (such as a sound playing function, an image playing function, etc.), and a storage data area; the storage data area may store data created according to the use of the electronic device (such as cache data), and the like. In addition, memory 610 may include high-speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other volatile solid-state storage device.
An executable program 6101 containing a network request method on a memory 610, said executable program 6101 may be divided into one or more modules/units stored in said memory 610 and executed by a processor 620 for 3D model boundary flanging etc., said one or more modules/units may be a series of computer program instruction segments capable of performing specific functions describing the execution of said computer program 6101 in said electronic device 6. For example, the computer program 6101 may be divided into a function module such as an import module, a calculation module, a flanging processing module, a fairing processing module, and the like.
The processor 620 is a control center of the electronic device, connects various parts of the entire electronic device using various interfaces and lines, and performs various functions of the electronic device and processes data by running or executing software programs and/or modules stored in the memory 610, and calling data stored in the memory 610, thereby performing overall state monitoring of the electronic device. Optionally, the processor 620 may include one or more processing units; preferably, the processor 620 may integrate an application processor that primarily handles operating systems, applications, etc., with a modem processor that primarily handles wireless communications. It will be appreciated that the modem processor described above may not be integrated into the processor 620.
The system bus 630 is used to connect functional components inside the computer, and CAN transmit data information, address information, and control information, and the types of the system bus may be, for example, a PCI bus, an isa bus, and a CAN bus. Instructions from the processor 620 are transferred to the memory 610 via the bus, the memory 610 feeds back data to the processor 620, and the system bus 630 is responsible for data and instruction interactions between the processor 620 and the memory 610. Of course, the system bus 630 may also access other devices such as a network interface, a display device, etc.
In an embodiment of the present invention, the executable program executed by the processor 620 included in the electronic device includes:
leading in a 3D model of the pre-boundary flanging;
acquiring a boundary point set of the 3D model, and calculating a normal vector of each boundary point based on a patch normal vector;
according to a preset everting value and normal vector of the boundary point, calculating corresponding everting points after everting the boundary point set, the first layer point set and the second layer point set;
the first layer point set is a point set adjacent to the boundary point, and the second layer point set is a point set adjacent to the first layer point set and not being a boundary point;
and (5) carrying out fairing treatment on the everted 3D model to obtain the boundary everting 3D model.
It will be clearly understood by those skilled in the art that, for convenience and brevity of description, specific working procedures of the above-described system, apparatus and module may refer to corresponding procedures in the foregoing method embodiments, which are not repeated herein.
In the foregoing embodiments, the descriptions of the embodiments are emphasized, and in part, not described or illustrated in any particular embodiment, reference is made to the related descriptions of other embodiments.
The above embodiments are only for illustrating the technical solution of the present invention, and not for limiting the same; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention.
Claims (10)
1. A 3D model boundary flanging method, comprising:
leading in a 3D model of the pre-boundary flanging;
acquiring a boundary point set of the 3D model, and calculating a normal vector of each boundary point based on a patch normal vector;
according to a preset everting value and normal vector of the boundary point, calculating corresponding everting points after everting the boundary point set, the first layer point set and the second layer point set;
the first layer point set is a point set adjacent to the boundary point, and the second layer point set is a point set adjacent to the first layer point set and not being a boundary point;
and (5) carrying out fairing treatment on the everted 3D model to obtain the boundary everting 3D model.
2. The method of claim 1, wherein the introducing the 3D model of the pre-boundary cuff further comprises:
and adjusting the spatial position of the 3D model, and cutting out redundant parts in the 3D model.
3. The method of claim 1, wherein the acquiring the set of boundary points of the 3D model comprises:
acquiring a boundary edge set of a model according to the 3D model data structure, wherein the boundary edge is an edge which is not shared with other triangular patches;
and acquiring a corresponding boundary point set based on the boundary edge set.
4. The method of claim 1, wherein the calculating the normal vector for each boundary point based on the patch normal vector comprises:
three patch areas adjacent to the boundary point are obtained, the normal vector of the boundary point is calculated according to the formula (1), and the normal vector of the boundary point is unitized:
N＝S1*N1+S2*N2+S3*N3； (1)
where N represents a boundary point normal vector, S1, S2, and S3 each represent an adjacent patch area, and N1, N2, and N3 each represent an adjacent patch normal vector.
5. The method of claim 1, wherein calculating the everting points corresponding to the everting of the first layer point set and the second layer point set according to the preset everting value and the normal vector of the boundary point comprises:
calculating the everting point corresponding to the boundary point according to the formula (2):
x1＝P.x*k，y1＝P.y*k，z1＝P.z*k； (2)
wherein x1, y1 and z1 represent three-dimensional coordinates of an everting point corresponding to the boundary point, k represents a preset everting value, and P.x, P.y and P.z represent three-dimensional coordinates of the boundary point;
calculating the everting point corresponding to the first layer point set according to the formula (3):
x2＝ Q.x+ Q.x *k*n，y2＝ Q.y+ Q.y *k*n，z2＝ Q.z+ Q.z *k*n； (3)
wherein x2, y2 and z2 represent three-dimensional coordinates of everting points corresponding to the Q points in the first layer of point sets, k represents a preset everting value, n represents everting coefficients, and Q.x, Q.y and Q.z represent three-dimensional coordinates of the Q points in the first layer of point sets;
calculating the everting point corresponding to the second layer point set according to the formula (4):
x3＝ M.x+ M.x *k*m，y3＝ M.y+ M.y *k*m，z3＝ M.z+ M.z *k*m； (4)
in the formula, x3, y3 and z3 represent three-dimensional coordinates of everting points corresponding to M points in the second layer of point set, k represents a preset everting value, M represents an everting coefficient, and M.x, M.y and M.z represent three-dimensional coordinates of M points in the second layer of point set.
6. A 3D model boundary flanging system, comprising:
the importing module is used for importing a 3D model with a pre-boundary flanging;
the computing module is used for acquiring a boundary point set of the 3D model and calculating normal vectors of all boundary points based on the normal vector of the surface patch;
the everting processing module is used for calculating everting points corresponding to the everting of the boundary point set, the first layer point set and the second layer point set according to a preset everting value and the normal vector of the boundary point;
the first layer point set is a point set adjacent to the boundary point, and the second layer point set is a point set adjacent to the first layer point set and not being a boundary point;
and the fairing processing module is used for carrying out fairing processing on the everted 3D model to obtain the boundary everting 3D model.
7. The system of claim 6, wherein the calculating the normal vector for each boundary point based on the patch normal vector comprises:
three patch areas adjacent to the boundary point are obtained, the normal vector of the boundary point is calculated according to the formula (1), and the normal vector of the boundary point is unitized:
N＝S1*N1+S2*N2+S3*N3； (1)
where N represents a boundary point normal vector, S1, S2, and S3 each represent an adjacent patch area, and N1, N2, and N3 each represent an adjacent patch normal vector.
8. The system of claim 6, wherein calculating the corresponding everting points of the first layer point set and the second layer point set after everting according to the preset everting value and the normal vector of the boundary point comprises:
calculating the everting point corresponding to the boundary point according to the formula (2):
x1＝P.x*k，y1＝P.y*k，z1＝P.z*k； (2)
wherein x1, y1 and z1 represent three-dimensional coordinates of an everting point corresponding to the boundary point, k represents a preset everting value, and P.x, P.y and P.z represent three-dimensional coordinates of the boundary point;
calculating the everting point corresponding to the first layer point set according to the formula (3):
x2＝ Q.x+ Q.x *k*n，y2＝ Q.y+ Q.y *k*n，z2＝ Q.z+ Q.z *k*n； (3)
wherein x2, y2 and z2 represent three-dimensional coordinates of everting points corresponding to the Q points in the first layer of point sets, k represents a preset everting value, n represents everting coefficients, and Q.x, Q.y and Q.z represent three-dimensional coordinates of the Q points in the first layer of point sets;
calculating the everting point corresponding to the second layer point set according to the formula (4):
x3＝ M.x+ M.x *k*m，y3＝ M.y+ M.y *k*m，z3＝ M.z+ M.z *k*m； (4)
in the formula, x3, y3 and z3 represent three-dimensional coordinates of everting points corresponding to M points in the second layer of point set, k represents a preset everting value, M represents an everting coefficient, and M.x, M.y and M.z represent three-dimensional coordinates of M points in the second layer of point set.
9. An electronic device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that the processor implements the steps of a 3D model boundary flanging method as claimed in any one of claims 1 to 5 when the computer program is executed.
10. A computer readable storage medium storing a computer program, wherein the computer program when executed performs the steps of a 3D model boundary flanging method as claimed in any one of claims 1 to 5.
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