CN102999940A - Three-dimensional model generation method based on genetic manipulation - Google Patents
Three-dimensional model generation method based on genetic manipulation Download PDFInfo
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- CN102999940A CN102999940A CN2012104543347A CN201210454334A CN102999940A CN 102999940 A CN102999940 A CN 102999940A CN 2012104543347 A CN2012104543347 A CN 2012104543347A CN 201210454334 A CN201210454334 A CN 201210454334A CN 102999940 A CN102999940 A CN 102999940A
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Abstract
The invention relates to a three-dimensional model generation method based on genetic manipulation. The method includes the steps: inputting a three-dimensional model set; selecting optional two three-dimensional models from the three-dimensional model set and respectively marking the models as a three-dimensional model A and a three-dimensional model B; calculating corresponding values of functional parts of the three-dimensional model A and those of functional parts of the three-dimensional model B; selecting the functional parts of the three-dimensional model A and the functional parts of the three-dimensional model B, respectively marking the parts as a functional part set A10 and a functional part set B10; assembling the functional part set A10 and the functional part set B10 to obtain an assembled model; subjecting the assembled model to structural optimization to obtain a novel three-dimensional model. The method taking advantages of crisscross inheritance is simple and highly reliable, and a three-dimensional data set is enriched. In addition, a newly generated three-dimensional model can be further used as an input basic three-dimensional model which is used for next cross combination, and accordingly the three-dimensional model data set is greatly enriched.
Description
Technical field
The invention belongs to the computer graphics field, relate in particular to a kind of three-dimensional model generation method based on genetic manipulation.
Background technology
Three-dimensional modeling is one of the difficult point in current computer graphics field.How basis has three-dimensional model, automatically generates new three-dimensional model, is to solve three-dimensional modeling, the important channel of abundant existing three-dimensional modeling data collection.
The method of existing automatic generating three-dimensional models comprises that mainly procedural modeling and structure keep two methods of deformation.The major defect of procedural modeling method is to need the shape grammar for generating three-dimensional models defined by the user.Shape grammar consists of a grammar system by several production rules usually.And the structure of culture is often comparatively complicated, its structure and object function close association, thereby definition is very difficult for the shape grammar that generates the culture three-dimensional model, particularly for domestic consumer, is difficult to especially finish.Although the method that automatically generates shape grammar based on some input samples is arranged now, i.e. reverse process modeling, these class methods can only be applicable to plant, decorative pattern etc. at present, can not be used for the stronger culture of structure and function association; Another kind of method is that structure keeps deformation, and the shortcoming of the method is mainly to come the new mutation of generating three-dimensional models by deformation (scale of components convergent-divergent, displacement etc.), but can't generate new structure.
Heredity in the biology has guaranteed relative stability and the diversity of species, and the generation that the crisscross inheritance in the science of heredity is applied to three-dimensional model there is not yet similar report.
Summary of the invention
Based on this, being necessary provides a kind of three-dimensional model generation method based on genetic manipulation for the defective of existing three-dimensional model generation method existence.
A kind of three-dimensional model generation method based on genetic manipulation comprises the steps: to input the three-dimensional model set; From described three-dimensional model set, choose arbitrarily two three-dimensional models, be designated as respectively three-dimensional model A, three-dimensional model B; Calculate the respective value of the functional part of the functional part of described three-dimensional model A and described three-dimensional model B; Choose the corresponding component of described three-dimensional model A and described three-dimensional model B based on described respective value, be designated as respectively functional part set A 10, functional part set B 10; Assemble described functional part set A 10 and described functional part set B 10 obtains composition model; Described composition model is carried out structure optimization obtain new three-dimensional model.
In the present embodiment, wherein, the input three-dimensional model is gathered, and also comprises the steps: to mark the functional part of the three-dimensional model in the described three-dimensional model set; Consistent towards arranging with the three-dimensional model in the set of described three-dimensional model.
In the present embodiment, wherein, calculate the respective value of the functional part of the functional part of described three-dimensional model A and described three-dimensional model B, comprise the steps: to adjust described three-dimensional model A and described three-dimensional model B, make the functional part of described three-dimensional model A and the functional part of described three-dimensional model B have identical size; Three-dimensional model A and three-dimensional model B after adjusting are moved under the same coordinate system; Based on the three-dimensional model A under the same coordinate system and three-dimensional model B, calculate the respective value of the functional part of the functional part of described three-dimensional model A and described three-dimensional model B; Wherein, the computing method of described respective value are:
In the formula, B1 and B2 are respectively the functional part of three-dimensional model A and the function minimum bounding box of three-dimensional model B, and wherein, minimum bounding box is the minimum rectangular parallelepiped of volume that comprises the functional part of the functional part of three-dimensional model A and three-dimensional model B, D
HBe the Hausdorff distance between above-mentioned two rectangular parallelepipeds, x and y are the summit of minimum bounding box, and d represents the three dimensions Euclidean distance.
In the present embodiment, the threshold values of described respective value is peaked 0.5 times of respective value between described functional part set A 10 and the described functional part set B 10.
In the present embodiment, described functional part set A 10 and functional part set B 10 sums cover the functional part of described three-dimensional model A or the functional part of described three-dimensional model B.
In the present embodiment, described functional part set A 10 has different functions from functional part set B 10.
In the present embodiment, wherein, assemble described functional part set A 10 and described functional part set B 10 obtains composition model, comprise the steps: to detect the border components of described three-dimensional model A, wherein, described border components is not selected among the described three-dimensional model A and adjacent with described functional part set A 10 parts; Processing described border components matches itself and described functional part set B 10; After treatment border components and functional part set A 10 assembled obtain new three-dimensional model.
In the present embodiment, the described border components of described processing comprise with described border components move, deformation.
In the present embodiment, described structure optimization comprises to be processed the neighbouring relations between the parts of described composition model, and described annexation is complementary, and described neighbouring relations comprise annexation, symmetric relation, orthogonality relation and parallel relation.
The method of above-mentioned generating three-dimensional models is based on the crisscross inheritance in the genetic manipulation.At first input three-dimensional model A, three-dimensional model B as basic three-dimensional model, the respective value of the functional part of the functional part by Calculation of Three Dimensional model A and three-dimensional model B is chosen functional part set A 10 and functional part set B 10 again, and functional part set A 10 and functional part set B 10 combined crosswise finally obtained new three-dimensional model, effectively utilized the advantage of crisscross inheritance, method is simple, reliability is high, has greatly enriched the three-dimensional modeling data collection; Simultaneously, because newly-generated three-dimensional model can be further used as the basic three-dimensional model of input, participate in the combined crosswise of a new round, constantly developing generates more three-dimensional model, has greatly enriched the three-dimensional modeling data collection.
Description of drawings
The flow chart of steps based on the three-dimensional model generation method of genetic manipulation that Fig. 1 provides for the embodiment of the invention.
The flow chart of steps that Fig. 2 gathers for the input three-dimensional model that the embodiment of the invention provides.
The principle schematic based on the genetic manipulation generating three-dimensional models that Fig. 3 provides for the embodiment of the invention.
The flow chart of steps of the respective value of the functional part of the Calculation of Three Dimensional model A that Fig. 4 provides for the embodiment of the invention and the functional part of three-dimensional model B.
The flow chart of steps that the assembling function component set A10 that Fig. 5 provides for the embodiment of the invention and functional part set B 10 obtain composition model.
Embodiment
See also Fig. 1, the schematic flow sheet based on the three-dimensional model generation method of genetic manipulation that Fig. 1 provides for the embodiment of the invention.
Three-dimensional model generation method based on genetic manipulation comprises the steps:
Step S110: input three-dimensional model set.In embodiment provided by the invention, three-dimensional model mainly refers to the three-dimensional model by culture (such as desk, chair, desk lamp etc.), everyone divine force that created the universe body three-dimensional models is made of several parts (be independently geometrical body) usually, for convenience of explanation, the present invention is divided into functional part with the parts of three-dimensional model, and functional part mainly refers to the critical piece of having an effect, for example, in chair, backrest, seat support and handrail etc. are functional part.In the present invention, in the present invention, input three-dimensional model set main source is the 3 d model library of internet, and these three-dimensional models are that a large amount of three-dimensional modeling librarian use 3 d modeling software methods foundation and shared are arranged.Be appreciated that in embodiment provided by the invention the set that the three-dimensional model of input set generally is comprised of similar three-dimensional model is gathered such as the three-dimensional model that whole similar artificial three-dimensional models such as desks or chair or desk lamp etc. consists of.For convenience of explanation, the embodiment of the invention is appreciated that protection scope of the present invention is not limited to chair all with chair as an illustration, such as other the artificial three-dimensional model such as desk, desk lamp all within protection scope of the present invention.
See also Fig. 2, the flow chart of steps of the input three-dimensional model set that provides for the embodiment of the invention, it comprises the steps:
Step S111: the functional part of the three-dimensional model in the set of mark three-dimensional model.In embodiment provided by the invention, generally adopt the method for man-machine interactively that the main function components in the three-dimensional model set is marked out.The present invention at first passes through the method for man-machine interactively with chair as an illustration with the main function components of the chair of input, marks out such as backrest, seat, handrail and leg, is distinguished.
Step S112: consistent towards arranging with the three-dimensional model in the three-dimensional model set.In embodiment provided by the invention, by computer operation, with chair towards being set to same direction, such as with the forward of chair towards the Z axis forward, upward direction is towards the Y-axis forward.
Be appreciated that behind step S110 all three-dimensional models in the three-dimensional model set all have identical orientation, so that follow-up operation.
Step S120: from the three-dimensional model set of input, choose arbitrarily two three-dimensional models.
See also Fig. 3, the principle schematic based on the genetic manipulation generating three-dimensional models that provides for the embodiment of the invention.As can be seen from Figure 3, from the chair set, choose arbitrarily two chairs, and be labeled as three-dimensional model A, three-dimensional model B.
Step S130: the respective value of the functional part of Calculation of Three Dimensional model A and the functional part of three-dimensional model B.Based on the three-dimensional model A that chooses among the step S120, three-dimensional model B, the respective value of the functional part of Calculation of Three Dimensional model A and the functional part of three-dimensional model B.
See also Fig. 4, the flow chart of steps of the respective value of the functional part of the Calculation of Three Dimensional model A that provides for the embodiment of the invention and the functional part of three-dimensional model B, it comprises the steps:
Step S131: adjust three-dimensional model A and three-dimensional model B, make the functional part of three-dimensional model A and the functional part of three-dimensional model B have identical size.In embodiment provided by the invention, dwindle or amplify certain ratio by employing, adjust the size of three-dimensional model A and three-dimensional model B, so that the functional part of the functional part of three-dimensional model A and three-dimensional model B has identical size.
Step S132: three-dimensional model A and three-dimensional model B after step S131 adjusts are moved under the same coordinate system, so just guaranteed that three-dimensional model A and three-dimensional model B have identical reference frame.
Step S133: based on three-dimensional model A and the three-dimensional model B of the same coordinate system under the step S132, the respective value of the functional part of Calculation of Three Dimensional model A and the functional part of three-dimensional model B.In embodiment provided by the invention, the computing method of respective value are:
In the formula, B1 and B2 are respectively the functional part of three-dimensional model A and the functional part minimum bounding box of three-dimensional model B, and wherein, minimum bounding box is the minimum rectangular parallelepiped of volume that comprises the functional part of the functional part of three-dimensional model A and three-dimensional model B, D
HThe Hausdorff distance between above-mentioned two rectangular parallelepipeds, i.e. the expression formula on above-mentioned formula the right, x and y are the summit of minimum bounding box, d represents the three dimensions Euclidean distance.Wherein, all respective value are normalized between 0 to 1.Be appreciated that the respective value of difference in functionality parts is different because the functional part of the functional part of three-dimensional model A and three-dimensional model B has multiplely.
Step S140: choose the functional part of three-dimensional model A and the functional part of three-dimensional model B based on the respective value of calculating among the step S130, be designated as respectively functional part set A 10, functional part set B 10.In embodiment provided by the invention, choosing at first based on the respective value of calculating of functional part set A 10 and functional part set B 10, larger respective value does not have between functional part in the selected functional part set A 10 and the functional part in the functional part set B 10, the threshold value of this respective value be in functional part set A 10 and the functional part set B 10 between peaked 0.5 times of respective value, guarantee functional part set A 10 has different functional parts from functional part set B 10 like this, for example, three-dimensional model A and three-dimensional model B do not need to choose " seat " this functional part, this is for fear of the repetition of choosing parts, be appreciated that, satisfy more than one group of the functional part of the functional part of three-dimensional model A of respective value and three-dimensional model B, may have a lot of groups; Secondly, should consider the Symmetry Relations of parts when choosing functional part, when certain functional part is selected, the functional part symmetrical with it also should be chosen, for example, the functional part set A 10 that three-dimensional model A chooses is " legs " wherein, also wants corresponding choosing with other leg of the symmetry of " leg " chosen so; At last, functional part selected from three-dimensional model A and three-dimensional model B should cover all functional parts, be appreciated that, functional part set A 10 and functional part set B 10 sums cover the functional part of three-dimensional model A or the functional part of three-dimensional model B, being functional part set A 10 can realize the function of three-dimensional model A and three-dimensional model B with functional part set B 10, for example, the functional part of having chosen a set from chair A comprises backrest, seat and foreleg; The functional part of having chosen a set from chair B comprise retreat, handrail, such two set altogether five functional parts are used for new chair of assembling, so just can realize the function of chair A or chair B.
Step S150: assembling function component set A10 and functional part set B 10 obtain composition model.
See also Fig. 3, suppose that three-dimensional model A and three-dimensional model B have chosen respectively the functional part of a subset, wherein, functional part set A 10 is the functional part of three-dimensional model A, the functional part of functional part set B 10 for choosing among the three-dimensional model B.Now the functional part set A 10 among the three-dimensional model A is placed among the three-dimensional model B one by one.
See also Fig. 5, the flow chart of steps that the assembling function component set A10 that provides for the embodiment of the invention and functional part set B 10 obtain composition model, it comprises the steps:
Step S151: detect the border components of three-dimensional model A, wherein, border components is not selected among the three-dimensional model A and adjacent with functional part set A 10 parts, is border components such as A11 among Fig. 3.
Step S152: process border components A11 itself and functional part set B 10 are matched.In embodiment provided by the invention, process institute's circle parts comprise with described border components move, deformation, at first these border components are moved, deformation makes it coincide with the corresponding functional part set B 10 (calculating according to above-mentioned respective value) among the three-dimensional model B, this process is mainly finished by computer operation.
Step S153: border components that will be after treatment and functional part set A 10 place three-dimensional model B to assemble and obtain composition model.In embodiment provided by the invention, the border components of choosing take step S151, is placed into functional part set A 10 among the three-dimensional model B according to the neighbouring relations between border components and the placing component one by one as constraint, obtains composition model.In embodiment provided by the invention, the neighbouring relations between border components and the placing component comprise angular relationship and the spatial relation between the above-mentioned parts bounding box.
Step S160: composition model among the step S150 is carried out structure optimization obtain new three-dimensional model.In embodiment provided by the invention, structure optimization comprises to be processed the neighbouring relations between the parts of composition model, described annexation is complementary, wherein, neighbouring relations comprise annexation, symmetric relation, orthogonality relation and parallel relation, and this process mainly is to adopt computer graphical to process.Be appreciated that the neighbouring relations between the parts of the composition model after the optimization are more accurate, reasonable.When being annexation such as the neighbouring relations between the parts, treated so that annexation is more tight, recover as far as possible the annexation of original model.
Be appreciated that the new three-dimensional model that generates further can be used as the data set of former three-dimensional model set after above-mentioned steps, and repeat above-mentioned steps, generate new three-dimensional model.
The method of above-mentioned generating three-dimensional models has effectively been utilized the advantage of crisscross inheritance based on the crisscross inheritance in the genetic manipulation, and method is simple, reliability is high, has greatly enriched the three-dimensional modeling data collection; Simultaneously, because newly-generated three-dimensional model can be further used as the basic three-dimensional model of input, participate in the combined crosswise of a new round, constantly developing generates more three-dimensional model, has greatly enriched the three-dimensional modeling data collection.
The above, it only is preferred embodiment of the present invention, be not that the present invention is done any pro forma restriction, although the present invention discloses as above with preferred embodiment, yet be not to limit the present invention, any those skilled in the art, within not breaking away from the technical solution of the present invention scope, when the technology contents that can utilize above-mentioned announcement is made a little change or is modified to the equivalent embodiment of equivalent variations, in every case be not break away from the technical solution of the present invention content, any simple modification that foundation technical spirit of the present invention is done above embodiment, equivalent variations and modification all still belong in the scope of technical solution of the present invention.
Claims (9)
1. the three-dimensional model generation method based on genetic manipulation is characterized in that, comprises the steps:
The set of input three-dimensional model;
From described three-dimensional model set, choose arbitrarily two three-dimensional models, be designated as respectively three-dimensional model A, three-dimensional model B;
Calculate the respective value of the functional part of the functional part of described three-dimensional model A and described three-dimensional model B;
Choose the functional part of described three-dimensional model A and the functional part of described three-dimensional model B based on described respective value, be designated as respectively functional part set A 10, functional part set B 10;
Assemble described functional part set A 10 and described functional part set B 10 obtains composition model;
Described composition model is carried out structure optimization obtain new three-dimensional model.
2. the three-dimensional model generation method based on genetic manipulation according to claim 1 is characterized in that, wherein, the set of input three-dimensional model also comprises the steps:
Mark the functional part of the three-dimensional model in the described three-dimensional model set;
Consistent towards arranging with the three-dimensional model in the set of described three-dimensional model.
3. the three-dimensional model generation method based on genetic manipulation according to claim 1 and 2 is characterized in that, wherein, calculates the respective value of the functional part of the functional part of described three-dimensional model A and described three-dimensional model B, comprises the steps:
Adjust described three-dimensional model A and described three-dimensional model B, make the functional part of described three-dimensional model A and the functional part of described three-dimensional model B have identical size;
Three-dimensional model A and three-dimensional model B after adjusting are moved under the same coordinate system;
Based on the three-dimensional model A under the same coordinate system and three-dimensional model B, calculate the respective value of the functional part of the functional part of described three-dimensional model A and described three-dimensional model B; Wherein, the computing method of described respective value are:
In the formula, B1 and B2 are respectively the functional part of three-dimensional model A and the functional part minimum bounding box of three-dimensional model B, and described minimum bounding box is the minimum rectangular parallelepiped of volume that comprises functional part, D
HBe the Hausdorff distance between above-mentioned two rectangular parallelepipeds, x and y are the summit of minimum bounding box, and d represents the three dimensions Euclidean distance.
4. according to claim 1 or 3 described three-dimensional model generation methods based on genetic manipulation, it is characterized in that the threshold values of described respective value is peaked 0.5 times of respective value between described functional part set A 10 and the described functional part set B 10.
5. the three-dimensional model generation method based on genetic manipulation according to claim 1, it is characterized in that described functional part set A 10 covers all functions parts of described three-dimensional model A or all functions parts of described three-dimensional model B with functional part set B 10 sums.
6. the three-dimensional model generation method based on genetic manipulation according to claim 1 is characterized in that, described functional part set A 10 has different functions from functional part set B 10.
7. the three-dimensional model generation method based on genetic manipulation according to claim 1 is characterized in that, wherein, assembles described functional part set A 10 and described functional part set B 10 obtains composition model, comprises the steps:
Detect the border components of described three-dimensional model A, wherein, described border components is not selected among the described three-dimensional model A and adjacent with described functional part set A 10 parts;
Processing described border components matches itself and described functional part set B 10;
Place described three-dimensional model B to assemble after treatment border components and functional part set A 10 and obtain composition model.
8. the three-dimensional model generation method based on genetic manipulation according to claim 7 is characterized in that, the described border components of described processing comprise with described border components move, deformation.
9. the three-dimensional model generation method based on genetic manipulation according to claim 1, it is characterized in that, described structure optimization comprises to be processed the neighbouring relations between the parts of described composition model, described annexation is complementary, and described neighbouring relations comprise annexation, symmetric relation, orthogonality relation and parallel relation.
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| CN108022309A (en) * | 2017-12-07 | 2018-05-11 | 梦工场珠宝企业管理有限公司 | Threedimensional model intelligent connecting method |
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| CN108022309A (en) * | 2017-12-07 | 2018-05-11 | 梦工场珠宝企业管理有限公司 | Threedimensional model intelligent connecting method |
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